Spectroscopy and Chemometrics Machine-Learning News Weekly #1, 2023

Spectroscopy and Chemometrics/Machine-Learning News Weekly #1, 2023

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Spectroscopy and Chemometrics News Weekly 50, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Near-Infrared Spectroscopy (NIRS)

“Foods : Prediction Models for the Content of Calcium, Boron and Potassium in the Fruit of ‘Huangguan’ Pears Established by Using Near-Infrared Spectroscopy” LINK

” A high-throughput method for precise phenotyping sugarcane stalk mechanical strength using near-infrared spectroscopy” |) LINK

“Construction and Application of Detection Model for Leucine and Tyrosine Content in Golden Tartary Buckwheat Based on Near Infrared Spectroscopy” LINK

“Rapid recognition of different sources of methamphetamine drugs based on hand-held near infrared spectroscopy and multi-layer-extreme learning machine algorithms” LINK

“Rapid determination of viscosity and viscosity index of lube base oil based on near-infrared spectroscopy and new transformation formula” LINK

“Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library” LINK

“Experimental Validation of the Dynamic Molecular State of Water in Damaged Polymer Composites Using Near Infrared Spectroscopy” LINK

“Gaussian process regression for prediction and confidence analysis of fruit traits by near-infrared spectroscopy” | LINK

“Research Article Rapid and Nondestructive Detection of Proline in Serum Using Near-Infrared Spectroscopy and Partial Least Squares” |) LINK

“Before reliable near infrared spectroscopic analysis-the critical sampling proviso. Part 1. Generalised theory of sampling” LINK

“Expeditious detection of Fusarium graminearum infection in rice by FTNIR using hierarchical cluster analysis” LINK

“Simple dilated convolutional neural network for quantitative modeling based on near infrared spectroscopy techniques” LINK

“Fast and nondestructive discrimination of fresh tea leaves at different altitudes based on near infrared spectroscopy and various chemometrics methods” LINK

“Near-infrared leaf reflectance modeling of Annona emarginata seedlings for early detection of variations in nitrogen concentration” LINK

“Luminescence properties and phase transformation of broadband NIR emitting A2 (WO4) 3: Cr3+ (A= Al3+, Sc3+) phosphors toward NIR spectroscopy applications” LINK

“NIR spectroscopy combined with 1D-convolutional neural network for breast cancerization analysis and diagnosis” LINK

“Associations between visceral adipose tissue estimates produced by near-infrared spectroscopy, mobile anthropometrics, and traditional body composition …” LINK

“Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas” LINK

“Codoping Ti in low Co-containing hibonite achieving excellent optical properties for near-infrared reflective pigment applications” LINK

“Rapid Discrimination of Eucalypt Species Using A Handheld near-Infrared Instrument” LINK

“Discrimination of Minced Mutton Adulteration Based on Sized-Adaptive Online NIRS Information and 2D Conventional Neural Network. Foods 2022, 11, 2977” LINK

“Predicting the dietary fiber content of fresh-cut bamboo shoots using a visible and near-infrared hyperspectral technique” LINK

“Fruit detection research based on near-infrared spectroscopy and lightweight neural network” LINK

“Use of Near-Infrared Spectroscopy to Discriminate DFD Beef and Predict Meat Quality Traits in Autochthonous Breeds” LINK

” A quick and precise online near-infrared spectroscopy assay for high-throughput screening biomass digestibility in large scale sugarcane germplasm” LINK

Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

“Honey quality detection based on near-infrared spectroscopy” LINK

“Evaluation of the potential of near infrared hyperspectral imaging for monitoring the invasive brown marmorated stink bug” LINK

“Denoising stacked autoencodersbased nearinfrared quality monitoring method via robust samples evaluation” LINK

Hyperspectral Imaging (HSI)

“What Lies Beyond Sight? Applications of Ultraportable Hyperspectral Imaging (VIS-NIR) for Archaeological Fieldwork” LINK

“Visualization research of egg freshness based on hyperspectral imaging and binary competitive adaptive reweighted sampling” LINK

“From RGB camera to Hyperspectral imaging: a breakthrough in Neolithic Rock Painting analysis” LINK

Chemometrics and Machine Learning

“Agronomy : Low-Cost Electronic Nose for Wine Variety Identification through Machine Learning Algorithms” LINK

“PLS-DA” LINK

“Sensors : Land-Use and Land-Cover Classification in Semi-Arid Areas from Medium-Resolution Remote-Sensing Imagery: A Deep Learning Approach” LINK

“Chemosensors : Applying Two-Dimensional Correlation Spectroscopy and Principal Component Analysis to Understand How Temperature Affects the Neptunium(V) Absorption Spectrum” LINK

“Desert Soil Salinity Inversion Models Based on Field In Situ Spectroscopy in Southern Xinjiang, China” LINK

“Spatial prediction of soil properties through hybridized random forest model and combination of reflectance spectroscopy and environmental covariates” LINK

Optics for Spectroscopy

“Sensors : From Materials to Technique: A Complete Non-Invasive Investigation of a Group of Six Ukiyo-E Japanese Woodblock Prints of the Oriental Art Museum E. Chiossone (Genoa, Italy)” LINK

Research on Spectroscopy

“VESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY. SERIES: FISHING INDUSTRY” LINK

“Novel broad spectral response perovskite solar cells: A review of the current status and advanced strategies for breaking the theoretical limit efficiency” LINK

Environment NIR-Spectroscopy Application

“Remote Sensing : Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs” LINK

Agriculture NIR-Spectroscopy Usage

“Application of multi-layer neural network and hyperspectral reflectance in genome-wide association study for grain yield in bread wheat” LINK

“The experience of vertigo: A systematic review of neuroimaging studies” LINK

“Microorganisms : Assessment of the Microbial Spoilage and Quality of Marinated Chicken Souvlaki through Spectroscopic and Biomimetic Sensors and Data Fusion” LINK

“Agronomy : Rice Leaf Chlorophyll Content Estimation Using UAV-Based Spectral Images in Different Regions” LINK

Food & Feed Industry NIR Usage

“Rapid Determination of Protein, Starch and Moisture Contents in Wheat Flour by Near-Infrared Hyperspectral” LINK

Chemical Industry NIR Usage

“Polymers : Physico-Mechanical, Thermal, Morphological, and Aging Characteristics of Green Hybrid Composites Prepared from Wool-Sisal and Wool-Palf with Natural Rubber” LINK

Other

“Chemosensors : Gold Nanostar-Based Sensitive Catechol Plasmonic Colorimetric Sensing Platform with Ultra-Wide Detection Range” LINK

“The Significance of Media Arts Education from a Cognitive Science Approach” LINK

“Minerals : Study on Spectral Characteristics and Color Origin of Scheelite from Xuebaoding, Pingwu County, Sichuan Province, P.R. China” LINK

“Prognostic value of syntax score, intravascular ultrasound and near-infrared spectroscopy to identify low-risk patients with coronary artery disease 5-year …” LINK

“深さ選択性近赤外光アルゴリズムによる表層信号の抑制効果の向上” LINK

Spectroscopy and Chemometrics/Machine-Learning News Weekly #10, 2022Spektroskopie und Chemometrie/Machine-Learning News Wöchentlich #10, 2022Spettroscopia e Chemiometria/Machine-Learning Weekly News #10, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 9, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 9, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 9, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"Near-infrared solar reflectance and chromaticity properties of novel green ceramic pigment Cr-doped Y3Al5O12" LINK

"Near-Infrared Spectroscopy (NIRS) as a Method for Biological Sex Discrimination in the Endangered Houston Toad (Anaxyrus houstonensis)" LINK

"Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system" LINK

"Model Development of Non-Destructive Coffee Beans Moisture Content Determination Using Modified Near Infrared Spectroscopy Instrument" LINK

"Machine Learning Approach Using a Handheld Near-Infrared (NIR) Device to Predict the Effect of Storage Conditions on Tomato Biomarkers" LINK

"Adaptively Optimized Gas Analysis Model with Deep Learning for Near-Infrared Methane Sensors" LINK

"Development of non-invasive blood glucose regression based on near-infrared spectroscopy combined with a deep learning method" LINK

"Assessing the Spectral Characteristics of Dye-and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging" LINK

"Fusion of a Low-cost Electronic Nose and Near Infrared Spectroscopy for Qualitative and Quantitative Detection of Beef Adulterated with Duck" LINK

"NEAR INFRARED SPECTROSCOPY (NIRS) COUPLED WITH CHEMOMETRIC TOOLS USED FOR FOOD PRODUCTS ADULTERATION DETECTION" LINK

" A Nondestructive Identification Method of Producing Regions of Citrus Based on Near Infrared Spectroscopy" LINK

"Detecting the content of the bright blue pigment in cream based on deep learning and near-infrared spectroscopy" LINK

"A NIR Study on Hydrogen Bonds of Bamboo-Based Cellulose Ⅱ" LINK

"Vis-NIR Spectra Discriminant of Pesticide Residues on the Hami Melon Surface by GADF and Multi-Scale CNN" LINK

"Pedometric tools for classification of southwestern Amazonian soils: A quali-quantitative interpretation incorporating visible-near infrared spectroscopy" LINK

"... Frozen-Thawed Tuna with Non-Destructive Methods and Classification Models: Bioelectrical Impedance Analysis (BIA), Near-Infrared Spectroscopy (NIR) and Time ..." LINK

"NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends" LINK

"Effect of Soil Particle Size on Prediction of Soil Total Nitrogen Using Discrete Wavelength NIR Spectral Data" LINK

"Research on Construction of Visible-Near Infrared Spectroscopy Analysis Model for Soluble Solid Content in Different Colors of Jujube" LINK

"A Nondestructive Identification Method of Producing Regions of Citrus Based on Near Infrared Spectroscopy" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Accessing High-Power Near-Infrared Spectroscopy Using Cr3+-Substituted Metal Phosphate Phosphors" LINK

"Can Grassland Chemical Quality Be Quantified Using Transform Near-Infrared Spectroscopy?" LINK

"System Design and Preliminary Analysis of the UQ Near Infrared Spectroscopy Data of the Hayabusa2 Re-entry" LINK

"A fast method to measure the degree of oxidation of dialdehyde celluloses using multivariate calibration and infrared spectroscopy" LINK

" In-Line Identification of Different Grades of GPPS Based on Near-Infrared Spectroscopy" LINK

"Eu2+Doped Layered Double Borate Phosphor with Ultrawide NearInfrared Spectral Distribution in Response to UltravioletBlue Light Excitation" LINK

"Near-Infrared Spectroscopy Applied to the Detection of Multiple Adulterants in Roasted and Ground Arabica Coffee" LINK




Raman Spectroscopy

"RAMANMETRIX: a delightful way to analyze Raman spectra. (arXiv:2201.07586v1 [physics.data-an])" LINK




Hyperspectral Imaging (HSI)

"Rapid and nondestructive determination of sorghum purity combined with deep forest and near-infrared hyperspectral imaging" LINK

"Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration" | LINK

"Application of Visible/Near-Infrared Hyperspectral Imaging with Convolutional Neural Networks to Phenotype Aboveground Parts to Detect Cabbage Plasmodiophora ..." LINK

"Detection of nutshells in cumin powder using NIR Hyperspectral Imaging and chemometrics tools" LINK

"Gastric Cancer Detection by Two-step Learning in Near-Infrared Hyperspectral Imaging" LINK

"A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images" LINK




Chemometrics and Machine Learning

"Analysis and classification of peanuts with fungal diseases based on real-time spectral processing" LINK

"Chemometrics: An Excavator in Temperature-Dependent Near-Infrared Spectroscopy" LINK

"PLS-R Calibration Models for Wine Spirit Volatile Phenols Prediction by Near-Infrared Spectroscopy" LINK

"Development and assessment of spectroscopy methodologies and chemometrics strategies to detect pharmaceuticals blend endpoint in a pharmaceutical ..." LINK

"Quick Measurement Method of Condensation Point of Diesel Based on Temperature-Compensation Model" LINK

"Prediction Model of TVB-N Concentration in Mutton Based on Near Infrared Characteristic Spectra" LINK

"Evaluation of a robust regression method (RoBoost-PLSR) to predict biochemical variables for agronomic applications: Case study of grape berry maturity monitoring" LINK




Facts

"Nondestructive internal quality evaluation of pears using X-ray imaging and Machine Learning" LINK




Research on Spectroscopy

"Mechanical-based and Optical-based Methods for Nondestructive Evaluation of Fruit Firmness" | LINK




Equipment for Spectroscopy

"Application of a portable near-infrared spectrometer for rapid, non-destructive evaluation of moisture content in Para rubber timber" | LINK

"The Feasibility of Two Handheld Spectrometers for Meat Speciation Combined with Chemometric Methods and Its Application for Halal Certification" LINK

"Rapid identification of the storage age of dried tangerine peel using a hand-held near infrared spectrometer and machine learning" LINK

"pType NearInfrared Transparent Delafossite Thin Films with Ultrahigh Conductivity" LINK




Agriculture NIR-Spectroscopy Usage

"Agricultural practices of perennial energy crops affect nitrogen cycling microbial communities" LINK

"The Simultaneous Prediction of Soil Properties and Vegetation Coverage from Vis-NIR Hyperspectral Data with a One-Dimensional Convolutional Neural Network: A ..." LINK

"Alginate-enabled green synthesis of S/Ag1. 93S nanoparticles, their photothermal property and in-vitro assessment of their anti-skin-cancer effects augmented by a ..." LINK

"The Relative Performance of a Benchtop Scanning Monochromator and Handheld Fourier Transform Near-Infrared Reflectance Spectrometer in Predicting Forage ..." LINK

"Compact meta-spectral image sensor for mobile applications" | LINK

"Detection of insect damaged rice grains using visible and near infrared hyperspectral imaging technique" LINK

"Terrain analysis, erosion simulations, and sediment fingerprinting: a case study assessing the erosion sensitivity of agricultural catchments in the border of the ..." | LINK

" THE QUALITY OF FRESH AND ENSILED BIOMASS OF Brassica napus oleifera AND PROSPECTS OF ITS USE" LINK




Horticulture NIR-Spectroscopy Applications

"Interactions of Linearly Polarized and Unpolarized Light on Kiwifruit Using Aquaphotomics" LINK




Beverage and Drink Industry NIR Usage

"Beyond Beers Law: Quasi-Ideal Binary Liquid Mixtures" LINK




Other

" From Polymorph Screening to Dissolution Testing" LINK

"Charge and Spin Delocalization in Mixed-Valent Vinylruthenium-Triarylamine-Conjugates with Planarized Triarylamines" LINK

"РАЗРАБОТКА МЕТОДИКИ ВЫЯВЛЕНИЯ ФАЛЬСИФИКАЦИИ ЛЬНЯНОГО МАСЛА МЕТОДОМ БИК-СПЕКТРОСКОПИИ С ПРИМЕНЕНИЕМ ..." LINK

"Bioelectrochemical Partial-Denitrification Coupled with Anammox for Autotrophic Nitrogen Removal" LINK

"Broadband Optical Phase Modulation by Colloidal CdSe Quantum Wells" LINK





.

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 9, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 9, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 9, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"Near-infrared solar reflectance and chromaticity properties of novel green ceramic pigment Cr-doped Y3Al5O12" LINK

"Near-Infrared Spectroscopy (NIRS) as a Method for Biological Sex Discrimination in the Endangered Houston Toad (Anaxyrus houstonensis)" LINK

"Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system" LINK

"Model Development of Non-Destructive Coffee Beans Moisture Content Determination Using Modified Near Infrared Spectroscopy Instrument" LINK

"Machine Learning Approach Using a Handheld Near-Infrared (NIR) Device to Predict the Effect of Storage Conditions on Tomato Biomarkers" LINK

"Adaptively Optimized Gas Analysis Model with Deep Learning for Near-Infrared Methane Sensors" LINK

"Development of non-invasive blood glucose regression based on near-infrared spectroscopy combined with a deep learning method" LINK

"Assessing the Spectral Characteristics of Dye-and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging" LINK

"Fusion of a Low-cost Electronic Nose and Near Infrared Spectroscopy for Qualitative and Quantitative Detection of Beef Adulterated with Duck" LINK

"NEAR INFRARED SPECTROSCOPY (NIRS) COUPLED WITH CHEMOMETRIC TOOLS USED FOR FOOD PRODUCTS ADULTERATION DETECTION" LINK

" A Nondestructive Identification Method of Producing Regions of Citrus Based on Near Infrared Spectroscopy" LINK

"Detecting the content of the bright blue pigment in cream based on deep learning and near-infrared spectroscopy" LINK

"A NIR Study on Hydrogen Bonds of Bamboo-Based Cellulose Ⅱ" LINK

"Vis-NIR Spectra Discriminant of Pesticide Residues on the Hami Melon Surface by GADF and Multi-Scale CNN" LINK

"Pedometric tools for classification of southwestern Amazonian soils: A quali-quantitative interpretation incorporating visible-near infrared spectroscopy" LINK

"... Frozen-Thawed Tuna with Non-Destructive Methods and Classification Models: Bioelectrical Impedance Analysis (BIA), Near-Infrared Spectroscopy (NIR) and Time ..." LINK

"NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends" LINK

"Effect of Soil Particle Size on Prediction of Soil Total Nitrogen Using Discrete Wavelength NIR Spectral Data" LINK

"Research on Construction of Visible-Near Infrared Spectroscopy Analysis Model for Soluble Solid Content in Different Colors of Jujube" LINK

"A Nondestructive Identification Method of Producing Regions of Citrus Based on Near Infrared Spectroscopy" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Accessing High-Power Near-Infrared Spectroscopy Using Cr3+-Substituted Metal Phosphate Phosphors" LINK

"Can Grassland Chemical Quality Be Quantified Using Transform Near-Infrared Spectroscopy?" LINK

"System Design and Preliminary Analysis of the UQ Near Infrared Spectroscopy Data of the Hayabusa2 Re-entry" LINK

"A fast method to measure the degree of oxidation of dialdehyde celluloses using multivariate calibration and infrared spectroscopy" LINK

" In-Line Identification of Different Grades of GPPS Based on Near-Infrared Spectroscopy" LINK

"Eu2+Doped Layered Double Borate Phosphor with Ultrawide NearInfrared Spectral Distribution in Response to UltravioletBlue Light Excitation" LINK

"Near-Infrared Spectroscopy Applied to the Detection of Multiple Adulterants in Roasted and Ground Arabica Coffee" LINK




Raman Spectroscopy

"RAMANMETRIX: a delightful way to analyze Raman spectra. (arXiv:2201.07586v1 [physics.data-an])" LINK




Hyperspectral Imaging (HSI)

"Rapid and nondestructive determination of sorghum purity combined with deep forest and near-infrared hyperspectral imaging" LINK

"Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration" | LINK

"Application of Visible/Near-Infrared Hyperspectral Imaging with Convolutional Neural Networks to Phenotype Aboveground Parts to Detect Cabbage Plasmodiophora ..." LINK

"Detection of nutshells in cumin powder using NIR Hyperspectral Imaging and chemometrics tools" LINK

"Gastric Cancer Detection by Two-step Learning in Near-Infrared Hyperspectral Imaging" LINK

"A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images" LINK




Chemometrics and Machine Learning

"Analysis and classification of peanuts with fungal diseases based on real-time spectral processing" LINK

"Chemometrics: An Excavator in Temperature-Dependent Near-Infrared Spectroscopy" LINK

"PLS-R Calibration Models for Wine Spirit Volatile Phenols Prediction by Near-Infrared Spectroscopy" LINK

"Development and assessment of spectroscopy methodologies and chemometrics strategies to detect pharmaceuticals blend endpoint in a pharmaceutical ..." LINK

"Quick Measurement Method of Condensation Point of Diesel Based on Temperature-Compensation Model" LINK

"Prediction Model of TVB-N Concentration in Mutton Based on Near Infrared Characteristic Spectra" LINK

"Evaluation of a robust regression method (RoBoost-PLSR) to predict biochemical variables for agronomic applications: Case study of grape berry maturity monitoring" LINK




Facts

"Nondestructive internal quality evaluation of pears using X-ray imaging and Machine Learning" LINK




Research on Spectroscopy

"Mechanical-based and Optical-based Methods for Nondestructive Evaluation of Fruit Firmness" | LINK




Equipment for Spectroscopy

"Application of a portable near-infrared spectrometer for rapid, non-destructive evaluation of moisture content in Para rubber timber" | LINK

"The Feasibility of Two Handheld Spectrometers for Meat Speciation Combined with Chemometric Methods and Its Application for Halal Certification" LINK

"Rapid identification of the storage age of dried tangerine peel using a hand-held near infrared spectrometer and machine learning" LINK

"pType NearInfrared Transparent Delafossite Thin Films with Ultrahigh Conductivity" LINK




Agriculture NIR-Spectroscopy Usage

"Agricultural practices of perennial energy crops affect nitrogen cycling microbial communities" LINK

"The Simultaneous Prediction of Soil Properties and Vegetation Coverage from Vis-NIR Hyperspectral Data with a One-Dimensional Convolutional Neural Network: A ..." LINK

"Alginate-enabled green synthesis of S/Ag1. 93S nanoparticles, their photothermal property and in-vitro assessment of their anti-skin-cancer effects augmented by a ..." LINK

"The Relative Performance of a Benchtop Scanning Monochromator and Handheld Fourier Transform Near-Infrared Reflectance Spectrometer in Predicting Forage ..." LINK

"Compact meta-spectral image sensor for mobile applications" | LINK

"Detection of insect damaged rice grains using visible and near infrared hyperspectral imaging technique" LINK

"Terrain analysis, erosion simulations, and sediment fingerprinting: a case study assessing the erosion sensitivity of agricultural catchments in the border of the ..." | LINK

" THE QUALITY OF FRESH AND ENSILED BIOMASS OF Brassica napus oleifera AND PROSPECTS OF ITS USE" LINK




Horticulture NIR-Spectroscopy Applications

"Interactions of Linearly Polarized and Unpolarized Light on Kiwifruit Using Aquaphotomics" LINK




Beverage and Drink Industry NIR Usage

"Beyond Beers Law: Quasi-Ideal Binary Liquid Mixtures" LINK




Other

" From Polymorph Screening to Dissolution Testing" LINK

"Charge and Spin Delocalization in Mixed-Valent Vinylruthenium-Triarylamine-Conjugates with Planarized Triarylamines" LINK

"РАЗРАБОТКА МЕТОДИКИ ВЫЯВЛЕНИЯ ФАЛЬСИФИКАЦИИ ЛЬНЯНОГО МАСЛА МЕТОДОМ БИК-СПЕКТРОСКОПИИ С ПРИМЕНЕНИЕМ ..." LINK

"Bioelectrochemical Partial-Denitrification Coupled with Anammox for Autotrophic Nitrogen Removal" LINK

"Broadband Optical Phase Modulation by Colloidal CdSe Quantum Wells" LINK





.

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 9, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 9, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 9, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"Near-infrared solar reflectance and chromaticity properties of novel green ceramic pigment Cr-doped Y3Al5O12" LINK

"Near-Infrared Spectroscopy (NIRS) as a Method for Biological Sex Discrimination in the Endangered Houston Toad (Anaxyrus houstonensis)" LINK

"Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system" LINK

"Model Development of Non-Destructive Coffee Beans Moisture Content Determination Using Modified Near Infrared Spectroscopy Instrument" LINK

"Machine Learning Approach Using a Handheld Near-Infrared (NIR) Device to Predict the Effect of Storage Conditions on Tomato Biomarkers" LINK

"Adaptively Optimized Gas Analysis Model with Deep Learning for Near-Infrared Methane Sensors" LINK

"Development of non-invasive blood glucose regression based on near-infrared spectroscopy combined with a deep learning method" LINK

"Assessing the Spectral Characteristics of Dye-and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging" LINK

"Fusion of a Low-cost Electronic Nose and Near Infrared Spectroscopy for Qualitative and Quantitative Detection of Beef Adulterated with Duck" LINK

"NEAR INFRARED SPECTROSCOPY (NIRS) COUPLED WITH CHEMOMETRIC TOOLS USED FOR FOOD PRODUCTS ADULTERATION DETECTION" LINK

" A Nondestructive Identification Method of Producing Regions of Citrus Based on Near Infrared Spectroscopy" LINK

"Detecting the content of the bright blue pigment in cream based on deep learning and near-infrared spectroscopy" LINK

"A NIR Study on Hydrogen Bonds of Bamboo-Based Cellulose Ⅱ" LINK

"Vis-NIR Spectra Discriminant of Pesticide Residues on the Hami Melon Surface by GADF and Multi-Scale CNN" LINK

"Pedometric tools for classification of southwestern Amazonian soils: A quali-quantitative interpretation incorporating visible-near infrared spectroscopy" LINK

"... Frozen-Thawed Tuna with Non-Destructive Methods and Classification Models: Bioelectrical Impedance Analysis (BIA), Near-Infrared Spectroscopy (NIR) and Time ..." LINK

"NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends" LINK

"Effect of Soil Particle Size on Prediction of Soil Total Nitrogen Using Discrete Wavelength NIR Spectral Data" LINK

"Research on Construction of Visible-Near Infrared Spectroscopy Analysis Model for Soluble Solid Content in Different Colors of Jujube" LINK

"A Nondestructive Identification Method of Producing Regions of Citrus Based on Near Infrared Spectroscopy" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Accessing High-Power Near-Infrared Spectroscopy Using Cr3+-Substituted Metal Phosphate Phosphors" LINK

"Can Grassland Chemical Quality Be Quantified Using Transform Near-Infrared Spectroscopy?" LINK

"System Design and Preliminary Analysis of the UQ Near Infrared Spectroscopy Data of the Hayabusa2 Re-entry" LINK

"A fast method to measure the degree of oxidation of dialdehyde celluloses using multivariate calibration and infrared spectroscopy" LINK

" In-Line Identification of Different Grades of GPPS Based on Near-Infrared Spectroscopy" LINK

"Eu2+Doped Layered Double Borate Phosphor with Ultrawide NearInfrared Spectral Distribution in Response to UltravioletBlue Light Excitation" LINK

"Near-Infrared Spectroscopy Applied to the Detection of Multiple Adulterants in Roasted and Ground Arabica Coffee" LINK




Raman Spectroscopy

"RAMANMETRIX: a delightful way to analyze Raman spectra. (arXiv:2201.07586v1 [physics.data-an])" LINK




Hyperspectral Imaging (HSI)

"Rapid and nondestructive determination of sorghum purity combined with deep forest and near-infrared hyperspectral imaging" LINK

"Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration" | LINK

"Application of Visible/Near-Infrared Hyperspectral Imaging with Convolutional Neural Networks to Phenotype Aboveground Parts to Detect Cabbage Plasmodiophora ..." LINK

"Detection of nutshells in cumin powder using NIR Hyperspectral Imaging and chemometrics tools" LINK

"Gastric Cancer Detection by Two-step Learning in Near-Infrared Hyperspectral Imaging" LINK

"A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images" LINK




Chemometrics and Machine Learning

"Analysis and classification of peanuts with fungal diseases based on real-time spectral processing" LINK

"Chemometrics: An Excavator in Temperature-Dependent Near-Infrared Spectroscopy" LINK

"PLS-R Calibration Models for Wine Spirit Volatile Phenols Prediction by Near-Infrared Spectroscopy" LINK

"Development and assessment of spectroscopy methodologies and chemometrics strategies to detect pharmaceuticals blend endpoint in a pharmaceutical ..." LINK

"Quick Measurement Method of Condensation Point of Diesel Based on Temperature-Compensation Model" LINK

"Prediction Model of TVB-N Concentration in Mutton Based on Near Infrared Characteristic Spectra" LINK

"Evaluation of a robust regression method (RoBoost-PLSR) to predict biochemical variables for agronomic applications: Case study of grape berry maturity monitoring" LINK




Facts

"Nondestructive internal quality evaluation of pears using X-ray imaging and Machine Learning" LINK




Research on Spectroscopy

"Mechanical-based and Optical-based Methods for Nondestructive Evaluation of Fruit Firmness" | LINK




Equipment for Spectroscopy

"Application of a portable near-infrared spectrometer for rapid, non-destructive evaluation of moisture content in Para rubber timber" | LINK

"The Feasibility of Two Handheld Spectrometers for Meat Speciation Combined with Chemometric Methods and Its Application for Halal Certification" LINK

"Rapid identification of the storage age of dried tangerine peel using a hand-held near infrared spectrometer and machine learning" LINK

"pType NearInfrared Transparent Delafossite Thin Films with Ultrahigh Conductivity" LINK




Agriculture NIR-Spectroscopy Usage

"Agricultural practices of perennial energy crops affect nitrogen cycling microbial communities" LINK

"The Simultaneous Prediction of Soil Properties and Vegetation Coverage from Vis-NIR Hyperspectral Data with a One-Dimensional Convolutional Neural Network: A ..." LINK

"Alginate-enabled green synthesis of S/Ag1. 93S nanoparticles, their photothermal property and in-vitro assessment of their anti-skin-cancer effects augmented by a ..." LINK

"The Relative Performance of a Benchtop Scanning Monochromator and Handheld Fourier Transform Near-Infrared Reflectance Spectrometer in Predicting Forage ..." LINK

"Compact meta-spectral image sensor for mobile applications" | LINK

"Detection of insect damaged rice grains using visible and near infrared hyperspectral imaging technique" LINK

"Terrain analysis, erosion simulations, and sediment fingerprinting: a case study assessing the erosion sensitivity of agricultural catchments in the border of the ..." | LINK

" THE QUALITY OF FRESH AND ENSILED BIOMASS OF Brassica napus oleifera AND PROSPECTS OF ITS USE" LINK




Horticulture NIR-Spectroscopy Applications

"Interactions of Linearly Polarized and Unpolarized Light on Kiwifruit Using Aquaphotomics" LINK




Beverage and Drink Industry NIR Usage

"Beyond Beers Law: Quasi-Ideal Binary Liquid Mixtures" LINK




Other

" From Polymorph Screening to Dissolution Testing" LINK

"Charge and Spin Delocalization in Mixed-Valent Vinylruthenium-Triarylamine-Conjugates with Planarized Triarylamines" LINK

"РАЗРАБОТКА МЕТОДИКИ ВЫЯВЛЕНИЯ ФАЛЬСИФИКАЦИИ ЛЬНЯНОГО МАСЛА МЕТОДОМ БИК-СПЕКТРОСКОПИИ С ПРИМЕНЕНИЕМ ..." LINK

"Bioelectrochemical Partial-Denitrification Coupled with Anammox for Autotrophic Nitrogen Removal" LINK

"Broadband Optical Phase Modulation by Colloidal CdSe Quantum Wells" LINK





.

Spectroscopy and Chemometrics/Machine-Learning News Weekly #5, 2022Spektroskopie und Chemometrie/Machine-Learning News Wöchentlich #5, 2022Spettroscopia e Chemiometria/Machine-Learning Weekly News #5, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 4, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 4, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 4, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Use of Near-Infrared Spectroscopy combined with chemometrics for authentication and traceability of intact lemon fruits" LINK

"Application of NIR Spectroscopy and Multivariate Analysis for Non-destructive Evaluation of Apple Moisture Content during Ultrasonic Drying" LINK

"FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source" LINK

"Animals : Assessment of the Effectiveness of a Portable NIRS Instrument in Controlling the Mixer Wagon Tuning and Ration Management" LINK

"Scarcity Mindset Neuro Network Decoding With Reward: A Tree-Based Model and Functional Near-Infrared Spectroscopy Study" LINK

"Effectiveness of near-infrared spectroscopy as a non-invasive tool to discriminate spectral profiles of in vitro cultured oocytes from goats" LINK

"In-vivo quantification of lactate using Near Infrared reflectance spectroscopy" LINK

"Brain and renal oxygenation measured by NIRS related to patent ductus arteriosus in preterm infants: a prospective observational study" | LINK

"Rapid Quantitative Determination of Chemical Oxygen Demand in Different Water Systems Based on Near-Infrared Spectroscopy Combined with Binary Grey Wolf ..." LINK

"Classification of fNIRS data with LDA and SVM: a proof-of-concept for application in infant studies" LINK

"Chemosensors : Detection of Monilia Contamination in Plum and Plum Juice with NIR Spectroscopy and Electronic Tongue" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Radiometric calibration accuracy and stability of GOES-16 ABI Infrared radiance" | LINK

"Monte Carlo Characterization of Short-Wave Infrared Optical Wavelengths for Biosensing Applications" LINK




Hyperspectral Imaging (HSI)

"Agriculture : Identification of Geographical Origin of Chinese Chestnuts Using Hyperspectral Imaging with 1D-CNN Algorithm" LINK

"Agronomy : Non-invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard" LINK

"Prediction of Aqueous Glucose Concentration Using Hyperspectral Imaging" LINK




Spectral Imaging

"Agriculture : A Handheld Grassland Vegetation Monitoring System Based on Multispectral Imaging" LINK




Chemometrics and Machine Learning

"Multivariate analysis of food fraud: A review of NIR based instruments in tandem with chemometrics" LINK

"Recent Chemometric Opportunities in Criminalistics" LINK

"Non-Invasive Methods for Predicting the Quality of Processed Horticultural Food Products, with Emphasis on Dried Powders, Juices and Oils: A Review" LINK

"Hyperspectral inversion of nitrogen content in phyllostachys pubescens based on partial least squares regression model" LINK

"Applied Sciences : Identification of a Suitable Machine Learning Model for Detection of Asymptomatic Ganoderma boninense Infection in Oil Palm Seedlings Using Hyperspectral Data" LINK




Research on Spectroscopy

"A variable selection method based on mutual information and variance inflation factor" LINK




Environment NIR-Spectroscopy Application

"Remote Sensing : Reducing Scaling Effect on Downscaled Land Surface Temperature Maps in Heterogenous Urban Environments" LINK




Agriculture NIR-Spectroscopy Usage

"Biogenic and physicogenic aggregates: formation pathways, assessment techniques, and influence on soil properties" LINK

"Research on the transmission performance of multi-layer simulated mural surface by imaging spectrum" LINK

"Estimation of genetic parameters for carcass grading traits, image analysis traits, and monounsaturated fatty acids in Japanese Black cattle from Hyogo Prefecture" LINK




Pharma Industry NIR Usage

"CONDITION OF RENAL OXYGENATION IN PRETERM INFANTS WITH HEMODINAMICALLY SIGNIFICANT PATENT DUCTUS ARTERIOSUS" LINK

"Extent of lipid core plaque in patients with Achilles tendon xanthoma undergoing percutaneous coronary intervention for coronary artery disease" LINK




Other

"Textural and compositional effects of ilmenite on the spectra of high-titanium lunar basalts" LINK





.

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 4, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 4, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 4, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Use of Near-Infrared Spectroscopy combined with chemometrics for authentication and traceability of intact lemon fruits" LINK

"Application of NIR Spectroscopy and Multivariate Analysis for Non-destructive Evaluation of Apple Moisture Content during Ultrasonic Drying" LINK

"FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source" LINK

"Animals : Assessment of the Effectiveness of a Portable NIRS Instrument in Controlling the Mixer Wagon Tuning and Ration Management" LINK

"Scarcity Mindset Neuro Network Decoding With Reward: A Tree-Based Model and Functional Near-Infrared Spectroscopy Study" LINK

"Effectiveness of near-infrared spectroscopy as a non-invasive tool to discriminate spectral profiles of in vitro cultured oocytes from goats" LINK

"In-vivo quantification of lactate using Near Infrared reflectance spectroscopy" LINK

"Brain and renal oxygenation measured by NIRS related to patent ductus arteriosus in preterm infants: a prospective observational study" | LINK

"Rapid Quantitative Determination of Chemical Oxygen Demand in Different Water Systems Based on Near-Infrared Spectroscopy Combined with Binary Grey Wolf ..." LINK

"Classification of fNIRS data with LDA and SVM: a proof-of-concept for application in infant studies" LINK

"Chemosensors : Detection of Monilia Contamination in Plum and Plum Juice with NIR Spectroscopy and Electronic Tongue" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Radiometric calibration accuracy and stability of GOES-16 ABI Infrared radiance" | LINK

"Monte Carlo Characterization of Short-Wave Infrared Optical Wavelengths for Biosensing Applications" LINK




Hyperspectral Imaging (HSI)

"Agriculture : Identification of Geographical Origin of Chinese Chestnuts Using Hyperspectral Imaging with 1D-CNN Algorithm" LINK

"Agronomy : Non-invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard" LINK

"Prediction of Aqueous Glucose Concentration Using Hyperspectral Imaging" LINK




Spectral Imaging

"Agriculture : A Handheld Grassland Vegetation Monitoring System Based on Multispectral Imaging" LINK




Chemometrics and Machine Learning

"Multivariate analysis of food fraud: A review of NIR based instruments in tandem with chemometrics" LINK

"Recent Chemometric Opportunities in Criminalistics" LINK

"Non-Invasive Methods for Predicting the Quality of Processed Horticultural Food Products, with Emphasis on Dried Powders, Juices and Oils: A Review" LINK

"Hyperspectral inversion of nitrogen content in phyllostachys pubescens based on partial least squares regression model" LINK

"Applied Sciences : Identification of a Suitable Machine Learning Model for Detection of Asymptomatic Ganoderma boninense Infection in Oil Palm Seedlings Using Hyperspectral Data" LINK




Research on Spectroscopy

"A variable selection method based on mutual information and variance inflation factor" LINK




Environment NIR-Spectroscopy Application

"Remote Sensing : Reducing Scaling Effect on Downscaled Land Surface Temperature Maps in Heterogenous Urban Environments" LINK




Agriculture NIR-Spectroscopy Usage

"Biogenic and physicogenic aggregates: formation pathways, assessment techniques, and influence on soil properties" LINK

"Research on the transmission performance of multi-layer simulated mural surface by imaging spectrum" LINK

"Estimation of genetic parameters for carcass grading traits, image analysis traits, and monounsaturated fatty acids in Japanese Black cattle from Hyogo Prefecture" LINK




Pharma Industry NIR Usage

"CONDITION OF RENAL OXYGENATION IN PRETERM INFANTS WITH HEMODINAMICALLY SIGNIFICANT PATENT DUCTUS ARTERIOSUS" LINK

"Extent of lipid core plaque in patients with Achilles tendon xanthoma undergoing percutaneous coronary intervention for coronary artery disease" LINK




Other

"Textural and compositional effects of ilmenite on the spectra of high-titanium lunar basalts" LINK





.

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 4, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 4, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 4, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Use of Near-Infrared Spectroscopy combined with chemometrics for authentication and traceability of intact lemon fruits" LINK

"Application of NIR Spectroscopy and Multivariate Analysis for Non-destructive Evaluation of Apple Moisture Content during Ultrasonic Drying" LINK

"FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source" LINK

"Animals : Assessment of the Effectiveness of a Portable NIRS Instrument in Controlling the Mixer Wagon Tuning and Ration Management" LINK

"Scarcity Mindset Neuro Network Decoding With Reward: A Tree-Based Model and Functional Near-Infrared Spectroscopy Study" LINK

"Effectiveness of near-infrared spectroscopy as a non-invasive tool to discriminate spectral profiles of in vitro cultured oocytes from goats" LINK

"In-vivo quantification of lactate using Near Infrared reflectance spectroscopy" LINK

"Brain and renal oxygenation measured by NIRS related to patent ductus arteriosus in preterm infants: a prospective observational study" | LINK

"Rapid Quantitative Determination of Chemical Oxygen Demand in Different Water Systems Based on Near-Infrared Spectroscopy Combined with Binary Grey Wolf ..." LINK

"Classification of fNIRS data with LDA and SVM: a proof-of-concept for application in infant studies" LINK

"Chemosensors : Detection of Monilia Contamination in Plum and Plum Juice with NIR Spectroscopy and Electronic Tongue" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Radiometric calibration accuracy and stability of GOES-16 ABI Infrared radiance" | LINK

"Monte Carlo Characterization of Short-Wave Infrared Optical Wavelengths for Biosensing Applications" LINK




Hyperspectral Imaging (HSI)

"Agriculture : Identification of Geographical Origin of Chinese Chestnuts Using Hyperspectral Imaging with 1D-CNN Algorithm" LINK

"Agronomy : Non-invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard" LINK

"Prediction of Aqueous Glucose Concentration Using Hyperspectral Imaging" LINK




Spectral Imaging

"Agriculture : A Handheld Grassland Vegetation Monitoring System Based on Multispectral Imaging" LINK




Chemometrics and Machine Learning

"Multivariate analysis of food fraud: A review of NIR based instruments in tandem with chemometrics" LINK

"Recent Chemometric Opportunities in Criminalistics" LINK

"Non-Invasive Methods for Predicting the Quality of Processed Horticultural Food Products, with Emphasis on Dried Powders, Juices and Oils: A Review" LINK

"Hyperspectral inversion of nitrogen content in phyllostachys pubescens based on partial least squares regression model" LINK

"Applied Sciences : Identification of a Suitable Machine Learning Model for Detection of Asymptomatic Ganoderma boninense Infection in Oil Palm Seedlings Using Hyperspectral Data" LINK




Research on Spectroscopy

"A variable selection method based on mutual information and variance inflation factor" LINK




Environment NIR-Spectroscopy Application

"Remote Sensing : Reducing Scaling Effect on Downscaled Land Surface Temperature Maps in Heterogenous Urban Environments" LINK




Agriculture NIR-Spectroscopy Usage

"Biogenic and physicogenic aggregates: formation pathways, assessment techniques, and influence on soil properties" LINK

"Research on the transmission performance of multi-layer simulated mural surface by imaging spectrum" LINK

"Estimation of genetic parameters for carcass grading traits, image analysis traits, and monounsaturated fatty acids in Japanese Black cattle from Hyogo Prefecture" LINK




Pharma Industry NIR Usage

"CONDITION OF RENAL OXYGENATION IN PRETERM INFANTS WITH HEMODINAMICALLY SIGNIFICANT PATENT DUCTUS ARTERIOSUS" LINK

"Extent of lipid core plaque in patients with Achilles tendon xanthoma undergoing percutaneous coronary intervention for coronary artery disease" LINK




Other

"Textural and compositional effects of ilmenite on the spectra of high-titanium lunar basalts" LINK





.

Spectroscopy and Chemometrics/Machine-Learning News Weekly #2, 2022Spektroskopie und Chemometrie/Machine-Learning News Wöchentlich #2, 2022Spettroscopia e Chemiometria/Machine-Learning Weekly News #2, 2022

NIR Calibration-Model Services

NIR Spectrometry Custom Applications for chemical analysis | laboratory analyzer analyser QA QC Testing QAQC LINK

Protip: For NIR Spectroscopy Data Analysis use a Data Analytics Service that is NIR Domain related LINK

Spectroscopy and Chemometrics News Weekly 1, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 1, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 1, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Minerals : VIS-NIR/SWIR Spectral Properties of H2O Ice Depending on Particle Size and Surface Temperature" LINK

"AKURASI KESAMAAN KELOMPOK DATA BERDASARKAN FCM DAN PCA-FCM PADA DATA GULA DARAH HASIL PEMINDAIAN NIRS TERHADAP DATA GULA ..." LINK

"Prediksi Kehilangan Hara Pada Tanah Tererosi Menggunakan Near Infrared Reflectance Spectroscopy (NIRS)" LINK

"Aplikasi Teknologi Near Infrared Reflectance Spectroscopy Dengan Metode Partial Least Square Untuk Prediksi Kadar Patchouli Alkohol Minyak Nilam" LINK

"Near infrared spectroscopy and aquaphotomics evaluation of the efficiency of solar dehydration processes in pineapple slices" LINK

"Comparisons of commercially available NIRS-based analyte predictions of haylage quality for equid nutrition" LINK

"Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy" LINK

"Identification of cocoa bean quality by near infrared spectroscopy and multivariate modeling" LINK

"The Influence of Ingredients, Corn Particle Size, and Sample Preparation on the Predictability of the Near Infrared Reflectance Spectroscopy" LINK

"Machine Learning Approach Using a Handheld Near-Infrared (NIR) Device to Predict the Effect of Storage Conditions on Tomato Biomarkers" LINK

"Solid Physical State Transformation in Hot Melt Extrusion Revealed by Inline Near-Infrared (NIR) Spectroscopy and Offline Terahertz (THz) Raman Imaging" LINK

"Thermal Insulation Performance of Novel Coated Fabrics Based on Fe-Doped BaSnO3 Near-Infrared Reflectance Pigments" LINK

"Non-destructive method for discrimination of weedy rice using near infrared spectroscopy and modified self-organizing maps (SOMs)" LINK

"Potential of VIS/NIR spectroscopy to detect and predict bitter pit in 'Golden Smoothee'apples" LINK

"Litterbag-NIRS to Forecast Yield: a Horticultural Case with Biofertilizer Effectors" | LINK

"Determination of SSC and TA content of pear by Vis-NIR spectroscopy combined CARS and RF algorithm" LINK

"Evaluation of the robustness of a novel NIR-based technique to measure the residual moisture in freeze-dried products" LINK

"Comparison of Partial Least Square, Artificial Neural Network and Support Vector Regressions for real time monitoring of CHO cell culture processes using in situ Near Infrared spectroscopy" LINK

"Evaluating the impact of NIR pre-processing methods via multiblock partial least-squares" LINK

"Differentiation of Organic Cocoa Beans and Conventional Ones by Using Handheld NIR Spectroscopy and Multivariate Classification Techniques" | LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"NearInfrared II Plasmonic Phototheranostics with Glutathione Depletion for Multimodal ImagingGuided HypoxiaTolerant ChemodynamicPhotocatalyticPhotothermal Cancer Therapy Triggered by a Single Laser" LINK

"Nearinfrared spectroscopy aids ecological restoration by classifying variation of taxonomy and phenology of a native shrub" LINK

"Optimization of sweet basil harvest time and cultivar characterization using nearinfrared spectroscopy, liquid and gas chromatography, and chemometric statistical methods" LINK




Hyperspectral Imaging (HSI)

"Prediction and Distribution Visualization of Salmon Quality Based on Hyperspectral Imaging Technology" LINK

"A data fusion method of electronic nose and hyperspectral to identify the origin of rice" LINK

"Plants : Hyperspectral Reflectance Response of Wild Rocket (Diplotaxis tenuifolia) Baby-Leaf to Bio-Based Disease Resistance Inducers Using a Linear Mixed Effect Model" LINK

"Prediction of moisture content in steamed and dried purple sweet potato using hyperspectral imaging analysis" | LINK

"Integration of textural and spectral features of Raman hyperspectral imaging for quantitative determination of a single maize kernel mildew coupled with chemometrics" LINK




Chemometrics and Machine Learning

"Near infrared spectroscopy combined with chemometrics for quantitative analysis of corn oil in edible blend oil" LINK

"Applications of NIR spectroscopy and chemometrics to illicit drug analysis: an example from inhalant drug screening tests" LINK

"Remote Sensing : Extraction of Kenyan Grassland Information Using PROBA-V Based on RFE-RF Algorithm" LINK

"Monitoring Molecular Weight Changes during Technical Lignin Depolymerization by Operando Attenuated Total Reflectance Infrared Spectroscopy and Chemometrics" LINK

"Modification of the effect of maturity variation on nondestructive detection of apple quality based on the compensation model" LINK

"Foods : Rapid Detection of Thermal Treatment of Honey by Chemometrics-Assisted FTIR Spectroscopy" LINK

"Applied Sciences : Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine" LINK




Optics for Spectroscopy

Five highly cited papers in the fields of biosensors materials sensors (a thread) LINK




Facts

"Remote Sensing : Towards a Deep-Learning-Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection" LINK




Research on Spectroscopy

"Residence Time Distribution as a Traceability Method for Lot Changes in A Pharmaceutical Continuous Manufacturing System" LINK




Environment NIR-Spectroscopy Application

"Remote Sensing : Inversion Evaluation of Rare Earth Elements in Soil by Visible-Shortwave Infrared Spectroscopy" LINK

"Heavy rainfall in peak growing season had larger effects on soil nitrogen flux and pool than in the late season in a semiarid grassland" LINK

"Rachis browning and water loss description during postharvest storage of 'Krissy'and 'Thompson Seedless' table grapes" LINK

"Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites" | LINK

"Remote Sensing : Soil Organic Carbon Content Prediction Using Soil-Reflected Spectra: A Comparison of Two Regression Methods" LINK




Agriculture NIR-Spectroscopy Usage

"The Promise of Hyperspectral Imaging for the Early Detection of Crown Rot in Wheat" LINK

"Ecological effects on the nutritional value of bromeliads, and its influence on Andean bears' diet selection" LINK

"Agronomy : Complex Spectroscopic Study for Fusarium Genus Fungi Infection Diagnostics of “Zalp” Cultivar Oat" LINK

"Predicting Protein Content in Grain Using Hyperspectral Deep Learning" LINK

"Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods" | LINK




Horticulture NIR-Spectroscopy Applications

"Determination of Sugar Adulteration in Honey Using Conductivity Meter and pH Meter" LINK

"A Comparative Analysis of Hybrid SVM and LS-SVM Classification Algorithms to Identify Dried Wolfberry Fruits Quality Based on Hyperspectral Imaging Technology" LINK




Chemical Industry NIR Usage

"Polymers : Hybrid Proton-Exchange Membrane Based on Perfluorosulfonated Polymers and Resorcinol-Formaldehyde Hydrogel" LINK




Laboratory and NIR-Spectroscopy

"Improving Quality Inspection of Textiles by an Augmented RGB-IR-HS-AI Approach" LINK




Other

"External beam irradiation angle measurement using Cerenkov emission I: Signal dependencies consideration" LINK

"Applications of Sensing for Disease Detection" LINK

"Functionalized Tris (anilido) triazacyclononanes as Hexadentate Ligands for the Encapsulation of U (III), U (IV) And La (III) Cations" LINK

"การ ประยุกต์ ใช้ เทคนิค สเปก โทร ส โค ปี อินฟราเรด ย่าน ใกล้ สำหรับ ทำนาย ปริมาณ แค โร ที น อย ด์ ใน เชื้อ พันธุกรรม ข้าวโพด หวาน" LINK

"抑郁症的近红外光谱研究进展" LINK

"高光谱成像技术在医药领域中的应用进展研究" LINK



NIR Calibration-Model Services

NIR Spectrometry Custom Applications for chemical analysis | laboratory analyzer analyser QA QC Testing QAQC LINK

Protip: For NIR Spectroscopy Data Analysis use a Data Analytics Service that is NIR Domain related LINK

Spectroscopy and Chemometrics News Weekly 1, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 1, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 1, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Minerals : VIS-NIR/SWIR Spectral Properties of H2O Ice Depending on Particle Size and Surface Temperature" LINK

"AKURASI KESAMAAN KELOMPOK DATA BERDASARKAN FCM DAN PCA-FCM PADA DATA GULA DARAH HASIL PEMINDAIAN NIRS TERHADAP DATA GULA ..." LINK

"Prediksi Kehilangan Hara Pada Tanah Tererosi Menggunakan Near Infrared Reflectance Spectroscopy (NIRS)" LINK

"Aplikasi Teknologi Near Infrared Reflectance Spectroscopy Dengan Metode Partial Least Square Untuk Prediksi Kadar Patchouli Alkohol Minyak Nilam" LINK

"Near infrared spectroscopy and aquaphotomics evaluation of the efficiency of solar dehydration processes in pineapple slices" LINK

"Comparisons of commercially available NIRS-based analyte predictions of haylage quality for equid nutrition" LINK

"Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy" LINK

"Identification of cocoa bean quality by near infrared spectroscopy and multivariate modeling" LINK

"The Influence of Ingredients, Corn Particle Size, and Sample Preparation on the Predictability of the Near Infrared Reflectance Spectroscopy" LINK

"Machine Learning Approach Using a Handheld Near-Infrared (NIR) Device to Predict the Effect of Storage Conditions on Tomato Biomarkers" LINK

"Solid Physical State Transformation in Hot Melt Extrusion Revealed by Inline Near-Infrared (NIR) Spectroscopy and Offline Terahertz (THz) Raman Imaging" LINK

"Thermal Insulation Performance of Novel Coated Fabrics Based on Fe-Doped BaSnO3 Near-Infrared Reflectance Pigments" LINK

"Non-destructive method for discrimination of weedy rice using near infrared spectroscopy and modified self-organizing maps (SOMs)" LINK

"Potential of VIS/NIR spectroscopy to detect and predict bitter pit in 'Golden Smoothee'apples" LINK

"Litterbag-NIRS to Forecast Yield: a Horticultural Case with Biofertilizer Effectors" | LINK

"Determination of SSC and TA content of pear by Vis-NIR spectroscopy combined CARS and RF algorithm" LINK

"Evaluation of the robustness of a novel NIR-based technique to measure the residual moisture in freeze-dried products" LINK

"Comparison of Partial Least Square, Artificial Neural Network and Support Vector Regressions for real time monitoring of CHO cell culture processes using in situ Near Infrared spectroscopy" LINK

"Evaluating the impact of NIR pre-processing methods via multiblock partial least-squares" LINK

"Differentiation of Organic Cocoa Beans and Conventional Ones by Using Handheld NIR Spectroscopy and Multivariate Classification Techniques" | LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"NearInfrared II Plasmonic Phototheranostics with Glutathione Depletion for Multimodal ImagingGuided HypoxiaTolerant ChemodynamicPhotocatalyticPhotothermal Cancer Therapy Triggered by a Single Laser" LINK

"Nearinfrared spectroscopy aids ecological restoration by classifying variation of taxonomy and phenology of a native shrub" LINK

"Optimization of sweet basil harvest time and cultivar characterization using nearinfrared spectroscopy, liquid and gas chromatography, and chemometric statistical methods" LINK




Hyperspectral Imaging (HSI)

"Prediction and Distribution Visualization of Salmon Quality Based on Hyperspectral Imaging Technology" LINK

"A data fusion method of electronic nose and hyperspectral to identify the origin of rice" LINK

"Plants : Hyperspectral Reflectance Response of Wild Rocket (Diplotaxis tenuifolia) Baby-Leaf to Bio-Based Disease Resistance Inducers Using a Linear Mixed Effect Model" LINK

"Prediction of moisture content in steamed and dried purple sweet potato using hyperspectral imaging analysis" | LINK

"Integration of textural and spectral features of Raman hyperspectral imaging for quantitative determination of a single maize kernel mildew coupled with chemometrics" LINK




Chemometrics and Machine Learning

"Near infrared spectroscopy combined with chemometrics for quantitative analysis of corn oil in edible blend oil" LINK

"Applications of NIR spectroscopy and chemometrics to illicit drug analysis: an example from inhalant drug screening tests" LINK

"Remote Sensing : Extraction of Kenyan Grassland Information Using PROBA-V Based on RFE-RF Algorithm" LINK

"Monitoring Molecular Weight Changes during Technical Lignin Depolymerization by Operando Attenuated Total Reflectance Infrared Spectroscopy and Chemometrics" LINK

"Modification of the effect of maturity variation on nondestructive detection of apple quality based on the compensation model" LINK

"Foods : Rapid Detection of Thermal Treatment of Honey by Chemometrics-Assisted FTIR Spectroscopy" LINK

"Applied Sciences : Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine" LINK




Optics for Spectroscopy

Five highly cited papers in the fields of biosensors materials sensors (a thread) LINK




Facts

"Remote Sensing : Towards a Deep-Learning-Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection" LINK




Research on Spectroscopy

"Residence Time Distribution as a Traceability Method for Lot Changes in A Pharmaceutical Continuous Manufacturing System" LINK




Environment NIR-Spectroscopy Application

"Remote Sensing : Inversion Evaluation of Rare Earth Elements in Soil by Visible-Shortwave Infrared Spectroscopy" LINK

"Heavy rainfall in peak growing season had larger effects on soil nitrogen flux and pool than in the late season in a semiarid grassland" LINK

"Rachis browning and water loss description during postharvest storage of 'Krissy'and 'Thompson Seedless' table grapes" LINK

"Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites" | LINK

"Remote Sensing : Soil Organic Carbon Content Prediction Using Soil-Reflected Spectra: A Comparison of Two Regression Methods" LINK




Agriculture NIR-Spectroscopy Usage

"The Promise of Hyperspectral Imaging for the Early Detection of Crown Rot in Wheat" LINK

"Ecological effects on the nutritional value of bromeliads, and its influence on Andean bears' diet selection" LINK

"Agronomy : Complex Spectroscopic Study for Fusarium Genus Fungi Infection Diagnostics of “Zalp” Cultivar Oat" LINK

"Predicting Protein Content in Grain Using Hyperspectral Deep Learning" LINK

"Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods" | LINK




Horticulture NIR-Spectroscopy Applications

"Determination of Sugar Adulteration in Honey Using Conductivity Meter and pH Meter" LINK

"A Comparative Analysis of Hybrid SVM and LS-SVM Classification Algorithms to Identify Dried Wolfberry Fruits Quality Based on Hyperspectral Imaging Technology" LINK




Chemical Industry NIR Usage

"Polymers : Hybrid Proton-Exchange Membrane Based on Perfluorosulfonated Polymers and Resorcinol-Formaldehyde Hydrogel" LINK




Laboratory and NIR-Spectroscopy

"Improving Quality Inspection of Textiles by an Augmented RGB-IR-HS-AI Approach" LINK




Other

"External beam irradiation angle measurement using Cerenkov emission I: Signal dependencies consideration" LINK

"Applications of Sensing for Disease Detection" LINK

"Functionalized Tris (anilido) triazacyclononanes as Hexadentate Ligands for the Encapsulation of U (III), U (IV) And La (III) Cations" LINK

"การ ประยุกต์ ใช้ เทคนิค สเปก โทร ส โค ปี อินฟราเรด ย่าน ใกล้ สำหรับ ทำนาย ปริมาณ แค โร ที น อย ด์ ใน เชื้อ พันธุกรรม ข้าวโพด หวาน" LINK

"抑郁症的近红外光谱研究进展" LINK

"高光谱成像技术在医药领域中的应用进展研究" LINK



NIR Calibration-Model Services

NIR Spectrometry Custom Applications for chemical analysis | laboratory analyzer analyser QA QC Testing QAQC LINK

Protip: For NIR Spectroscopy Data Analysis use a Data Analytics Service that is NIR Domain related LINK

Spectroscopy and Chemometrics News Weekly 1, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 1, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 1, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Minerals : VIS-NIR/SWIR Spectral Properties of H2O Ice Depending on Particle Size and Surface Temperature" LINK

"AKURASI KESAMAAN KELOMPOK DATA BERDASARKAN FCM DAN PCA-FCM PADA DATA GULA DARAH HASIL PEMINDAIAN NIRS TERHADAP DATA GULA ..." LINK

"Prediksi Kehilangan Hara Pada Tanah Tererosi Menggunakan Near Infrared Reflectance Spectroscopy (NIRS)" LINK

"Aplikasi Teknologi Near Infrared Reflectance Spectroscopy Dengan Metode Partial Least Square Untuk Prediksi Kadar Patchouli Alkohol Minyak Nilam" LINK

"Near infrared spectroscopy and aquaphotomics evaluation of the efficiency of solar dehydration processes in pineapple slices" LINK

"Comparisons of commercially available NIRS-based analyte predictions of haylage quality for equid nutrition" LINK

"Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy" LINK

"Identification of cocoa bean quality by near infrared spectroscopy and multivariate modeling" LINK

"The Influence of Ingredients, Corn Particle Size, and Sample Preparation on the Predictability of the Near Infrared Reflectance Spectroscopy" LINK

"Machine Learning Approach Using a Handheld Near-Infrared (NIR) Device to Predict the Effect of Storage Conditions on Tomato Biomarkers" LINK

"Solid Physical State Transformation in Hot Melt Extrusion Revealed by Inline Near-Infrared (NIR) Spectroscopy and Offline Terahertz (THz) Raman Imaging" LINK

"Thermal Insulation Performance of Novel Coated Fabrics Based on Fe-Doped BaSnO3 Near-Infrared Reflectance Pigments" LINK

"Non-destructive method for discrimination of weedy rice using near infrared spectroscopy and modified self-organizing maps (SOMs)" LINK

"Potential of VIS/NIR spectroscopy to detect and predict bitter pit in 'Golden Smoothee'apples" LINK

"Litterbag-NIRS to Forecast Yield: a Horticultural Case with Biofertilizer Effectors" | LINK

"Determination of SSC and TA content of pear by Vis-NIR spectroscopy combined CARS and RF algorithm" LINK

"Evaluation of the robustness of a novel NIR-based technique to measure the residual moisture in freeze-dried products" LINK

"Comparison of Partial Least Square, Artificial Neural Network and Support Vector Regressions for real time monitoring of CHO cell culture processes using in situ Near Infrared spectroscopy" LINK

"Evaluating the impact of NIR pre-processing methods via multiblock partial least-squares" LINK

"Differentiation of Organic Cocoa Beans and Conventional Ones by Using Handheld NIR Spectroscopy and Multivariate Classification Techniques" | LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"NearInfrared II Plasmonic Phototheranostics with Glutathione Depletion for Multimodal ImagingGuided HypoxiaTolerant ChemodynamicPhotocatalyticPhotothermal Cancer Therapy Triggered by a Single Laser" LINK

"Nearinfrared spectroscopy aids ecological restoration by classifying variation of taxonomy and phenology of a native shrub" LINK

"Optimization of sweet basil harvest time and cultivar characterization using nearinfrared spectroscopy, liquid and gas chromatography, and chemometric statistical methods" LINK




Hyperspectral Imaging (HSI)

"Prediction and Distribution Visualization of Salmon Quality Based on Hyperspectral Imaging Technology" LINK

"A data fusion method of electronic nose and hyperspectral to identify the origin of rice" LINK

"Plants : Hyperspectral Reflectance Response of Wild Rocket (Diplotaxis tenuifolia) Baby-Leaf to Bio-Based Disease Resistance Inducers Using a Linear Mixed Effect Model" LINK

"Prediction of moisture content in steamed and dried purple sweet potato using hyperspectral imaging analysis" | LINK

"Integration of textural and spectral features of Raman hyperspectral imaging for quantitative determination of a single maize kernel mildew coupled with chemometrics" LINK




Chemometrics and Machine Learning

"Near infrared spectroscopy combined with chemometrics for quantitative analysis of corn oil in edible blend oil" LINK

"Applications of NIR spectroscopy and chemometrics to illicit drug analysis: an example from inhalant drug screening tests" LINK

"Remote Sensing : Extraction of Kenyan Grassland Information Using PROBA-V Based on RFE-RF Algorithm" LINK

"Monitoring Molecular Weight Changes during Technical Lignin Depolymerization by Operando Attenuated Total Reflectance Infrared Spectroscopy and Chemometrics" LINK

"Modification of the effect of maturity variation on nondestructive detection of apple quality based on the compensation model" LINK

"Foods : Rapid Detection of Thermal Treatment of Honey by Chemometrics-Assisted FTIR Spectroscopy" LINK

"Applied Sciences : Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine" LINK




Optics for Spectroscopy

Five highly cited papers in the fields of biosensors materials sensors (a thread) LINK




Facts

"Remote Sensing : Towards a Deep-Learning-Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection" LINK




Research on Spectroscopy

"Residence Time Distribution as a Traceability Method for Lot Changes in A Pharmaceutical Continuous Manufacturing System" LINK




Environment NIR-Spectroscopy Application

"Remote Sensing : Inversion Evaluation of Rare Earth Elements in Soil by Visible-Shortwave Infrared Spectroscopy" LINK

"Heavy rainfall in peak growing season had larger effects on soil nitrogen flux and pool than in the late season in a semiarid grassland" LINK

"Rachis browning and water loss description during postharvest storage of 'Krissy'and 'Thompson Seedless' table grapes" LINK

"Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites" | LINK

"Remote Sensing : Soil Organic Carbon Content Prediction Using Soil-Reflected Spectra: A Comparison of Two Regression Methods" LINK




Agriculture NIR-Spectroscopy Usage

"The Promise of Hyperspectral Imaging for the Early Detection of Crown Rot in Wheat" LINK

"Ecological effects on the nutritional value of bromeliads, and its influence on Andean bears' diet selection" LINK

"Agronomy : Complex Spectroscopic Study for Fusarium Genus Fungi Infection Diagnostics of “Zalp” Cultivar Oat" LINK

"Predicting Protein Content in Grain Using Hyperspectral Deep Learning" LINK

"Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods" | LINK




Horticulture NIR-Spectroscopy Applications

"Determination of Sugar Adulteration in Honey Using Conductivity Meter and pH Meter" LINK

"A Comparative Analysis of Hybrid SVM and LS-SVM Classification Algorithms to Identify Dried Wolfberry Fruits Quality Based on Hyperspectral Imaging Technology" LINK




Chemical Industry NIR Usage

"Polymers : Hybrid Proton-Exchange Membrane Based on Perfluorosulfonated Polymers and Resorcinol-Formaldehyde Hydrogel" LINK




Laboratory and NIR-Spectroscopy

"Improving Quality Inspection of Textiles by an Augmented RGB-IR-HS-AI Approach" LINK




Other

"External beam irradiation angle measurement using Cerenkov emission I: Signal dependencies consideration" LINK

"Applications of Sensing for Disease Detection" LINK

"Functionalized Tris (anilido) triazacyclononanes as Hexadentate Ligands for the Encapsulation of U (III), U (IV) And La (III) Cations" LINK

"การ ประยุกต์ ใช้ เทคนิค สเปก โทร ส โค ปี อินฟราเรด ย่าน ใกล้ สำหรับ ทำนาย ปริมาณ แค โร ที น อย ด์ ใน เชื้อ พันธุกรรม ข้าวโพด หวาน" LINK

"抑郁症的近红外光谱研究进展" LINK

"高光谱成像技术在医药领域中的应用进展研究" LINK



Digitization in the field of NIR spectroscopy (smart sensors) / Digitalisierung im Bereich der NIR-Spektroskopie / Digitalizzazione nel campo della spettroscopia NIR (sensori intelligenti)

Digitalization is advancing, also in NIR spectroscopy, which enables trainable miniature smart sensors e.g. for analyses in the food&feed, chemical and pharmaceutical sectors.

The calibration is the core of a NIR spectroscopy sensor, it enables the numerous applications and should therefore not be the weakest link in the measurement chain.

The development of calibrations that turn NIR spectrometers into smart sensors is done manually by experts (NIR specialist, chemometrician, data scientist) with so-called chemometrics software.

This is very time-consuming (time to market) and the result is person-dependent and thus suboptimal, because each expert has his own preferred way of proceeding.
In addition, the calibrations have to be maintained, as new data has been collected in the meantime, which can be used to extend and improve the calibrations.

This is where our automated service comes in, combining the knowledge and good practices of NIR spectroscopy and chemometrics collected in one software and using machine learning to generate optimal calibrations.

Based on this, we have developed a complete technology platform (Time to Market) that covers the entire process from sending NIR + Lab data, to NIR Calibration as a Service, from online purchase of calibrations, to NIR Predictor software that directly evaluates newly measured NIR data locally and generates result reports.

Besides the free desktop version with user interface, the NIR Predictor can also be integrated (OEM). This can be integrated in parallel as a complement to your current Predictor, allowing the user to choose how they want to calibrate.
And give them the advantage in NIR feasibility studies and NIR spectrometer evaluations to quickly provide the customer with a solid and accurate calibration that will make their NIR system deliver better results.

Advantages for your NIR users (internal or external)

  • no initial costs (no chemometrics software license required),
  • calculable operating costs (fixed amount instead of time and hourly rate) (calibration development, calibration maintenance)
  • easy to use (no chemometrics and software training),
  • quicker to use (no calibration development work) and
  • better calibrations (precision, accuracy, robustness, ...)

Our chargeable service is based on the calibration development and the annual calibration use.
Calibration development and calibration use can also be carried out separately (manufacturer / user).

For you as a spectrometer manufacturer, this means that you can deliver your system pre-calibrated for certain applications without incurring software license costs. And without your application specialists having to provide additional calibration services.

The unique advantages of our calibration service together with the free NIR Predictor are:

  • no software license costs (chemometrics software, predictor software, OEM integration)
  • no chemometrics know-how necessary
  • no time needed to develop optimal NIR calibrations.

If interested in using/evaluating the service :

About CalibrationModel.com : Time and knowledge intensive creation and optimization of chemometric evaluation methods for spectrometers as a service to enable more accurate analysis and measurement results.

see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR - Total cost of ownership (TCO)

OEM / White Label Software

White Paper


Die Digitalisierung schreitet voran, so auch in der NIR-Spektroskopie, die trainierbare miniatur Smart-Sensors ermöglicht z.B. für Analysen im Bereich Food&Feed, Chemie und Pharma.

Die Kalibration ist das Kernstück eines NIR-Spektroskopie Sensors, sie ermöglicht die zahlreichen Applikationen und sollte darum nicht das schwächste Glied in der Messkette sein.

Das Entwickeln von Kalibrationen die NIR-Spektrometer zu Smart-Sensoren macht, wird bis an hin von Experten (NIR-Spezialist, Chemometriker, Data Scientist) manuell gemacht mit sogenannter Chemometrie Software.

Das ist sehr zeitintensiv (Time to Market) und das Ergebnis ist personenabhängig und somit suboptimal, denn jeder Experte hat seine eigene bevorzugte Weise wie er vorgeht.
Dazu kommt, dass die Kalibrationen gewartet werden müssen, da in der Zwischenzeit neue Daten gesammelt wurden, die zur Erweiterung und Verbesserung der Kalibrationen genutzt werden kann.

Hier setzt unser automatisierter Service an, der das Wissen und Good-Practices der NIR-Spektroskopie und Chemometrie gesammelt in einer Software vereint und mittels Machine-Learning optimale Kalibrationen erzeugt.

Wir haben darauf aufbauend eine komplette Technologie-Plattform entwickelt (Time to Market), die den ganzen Ablauf vom Senden der NIR + Lab Daten, zu NIR-Kalibration as a Service, vom Online-Kauf der Kalibrationen, bis hin zur NIR-Predictor Software die neu gemessene NIR Daten direkt lokal auswertet und Ergebnis Reports erstellt.

Nebst der freien Desktop Variante mit User Interface kann der NIR-Predictor auch integriert werden (OEM). Das kann parallel als Ergänzung zu ihrem jetzigen Predictor integriert werden und so dem Anwender die Wahl ermöglichen, wie er Kalibrieren möchte.
Und ihnen so den Vorteil verschaffen, bei NIR Feasibility Studies und NIR-Spektrometer Evaluationen, dem Kunden rasch eine solide und genaue Kalibration bereitzustellen, die ihr NIR System bessere Ergebnisse liefern lässt.

Vorteile für ihre NIR-Anwender (intern oder extern)

  • keine Initial-Kosten (keine Chemometrie Software Lizenz nötig),
  • kalkulierbare Betriebs Kosten (fix Betrag statt nach Aufwand und Stundensatz) (Kalibrationsentwicklung, Kalibrations-Pflege)
  • einfach Anwendbar (keine Chemometrie- und Software-Trainings),
  • schneller Einsatzbereit (keine Kalibrations-Entwicklungs Arbeit) und
  • bessere Kalibrationen (precision, accuracy, robustness, …)

Unsere kostenpflichtige Serviceleistung beruht auf der Kalibrationsentwicklung und der jährlichen Kalibrationsnutzung.
Dabei kann die Kalibrationsentwicklung und Kalibrationsnutzung auch getrennt voneinander (Hersteller / User) erfolgen.

Für Sie als Spektrometer Hersteller kommt so die Möglichkeit hinzu, dass Sie für bestimmte Applikationen ihr System Vorkalibriert ausliefern können, ohne dass Software-Lizenz-Kosten fällig werden. Und ohne dass ihre Applikations-Spezialisten zusätzliche Kalibrationsleistung erbringen müssen.

Die einzigartigen Vorteile unseres Calibrations-Service zusammen mit dem free NIR-Predictor sind:

  • keine Software Lizenz Kosten (Chemometrie Software, Predictor Software, OEM integration)
  • kein Chemometrie Know-How nötig
  • kein Zeitaufwand nötig um optimale NIR-Kalibrationen zu entwickeln.

Bei Interesse zur Nutzung/Evaluation des Services :

Über CalibrationModel.com : Zeit- und Wissens-intensive Erstellung und Optimierung von chemometrischen Auswertemethoden für Spektrometer als Service, um präzisere Analysen- und Messergebnisse zu ermöglichen.

see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR - Total cost of ownership (TCO)

OEM / White Label Software

White Paper


La digitalizzazione sta progredendo, anche nella spettroscopia NIR, che consente l'uso di sensori intelligenti in miniatura addestrabili, ad esempio per analisi nei settori alimentare e dei mangimi, chimico e farmaceutico.

La calibrazione è il cuore di un sensore di spettroscopia NIR, consente le numerose applicazioni e non dovrebbe quindi essere l'anello più debole della catena di misura.

Lo sviluppo delle calibrazioni che trasformano gli spettrometri NIR in sensori intelligenti viene effettuato manualmente da esperti (specialista NIR, chemiometrista, scienziato dei dati) con il cosiddetto software di chemiometria.

Ciò richiede molto tempo (time to market) e il risultato dipende dalla persona ed è quindi subottimale, perché ogni esperto ha il suo modo di procedere preferito.
Inoltre, le calibrazioni devono essere mantenute, poiché nel frattempo sono stati raccolti nuovi dati che possono essere utilizzati per ampliare e migliorare le calibrazioni.

Qui entra in gioco il nostro servizio automatizzato, che combina le conoscenze e le buone pratiche della spettroscopia NIR e della chemiometria in un unico software e genera calibrazioni ottimali mediante l'apprendimento automatico.

Su questa base, abbiamo sviluppato una piattaforma tecnologica completa (Time to Market), che copre l'intero processo dall'invio dei dati NIR + Lab, alla calibrazione NIR come servizio, dall'acquisto online delle calibrazioni, al software NIR Predictor, che valuta direttamente i dati NIR appena misurati a livello locale e genera rapporti sui risultati.

Oltre alla versione desktop gratuita con interfaccia utente, il NIR Predictor può essere integrato (OEM). Questo può essere integrato in parallelo come complemento al vostro Predictor attuale, permettendo all'utente di scegliere come vuole calibrare.
Questo vi offre il vantaggio negli studi di fattibilità NIR e nelle valutazioni degli spettrometri NIR per fornire rapidamente al cliente una calibrazione solida e accurata che farà sì che il vostro sistema NIR fornisca risultati migliori.

Vantaggi per i vostri utenti NIR (interni o esterni)

  • nessun costo iniziale (non è necessaria la licenza del software di chemiometria),
  • costi operativi calcolabili (importo fisso anziché tariffa oraria) (sviluppo della taratura, manutenzione della taratura)
  • facile da usare (nessuna chemiometria e formazione software),
  • più veloce da usare (nessun lavoro di sviluppo di calibrazione) e
  • calibrazioni migliori (precisione, accuratezza, robustezza, ...)

Il nostro servizio a pagamento si basa sullo sviluppo della taratura e sull'utilizzo annuale della taratura.
Lo sviluppo della taratura e l'uso della taratura possono essere effettuati anche separatamente (produttore/utente).

Per voi, in qualità di produttori di spettrometri, ciò significa che potete fornire il vostro sistema pre-calibrato per determinate applicazioni senza incorrere in costi di licenza del software. E senza che i vostri specialisti delle applicazioni debbano fornire ulteriori servizi di taratura.

I vantaggi unici del nostro servizio di calibrazione insieme al predittore NIR Predictor gratuito sono:

  • nessun costo di licenza software (software di chemiometria, software di previsione, integrazione OEM)
  • non è necessario alcun know-how in chemiometria
  • non c'è bisogno di tempo per sviluppare calibrazioni NIR ottimali.

Se interessati all'uso/valutazione del servizio :

Informazioni su CalibrationModel.com : Creazione e ottimizzazione dei metodi di valutazione chemiometrica per gli spettrometri come servizio per consentire analisi e risultati di misura più precisi.

see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR - Total cost of ownership (TCO)

OEM / White Label Software

White Paper

NIR Analysis in Laboratory and Laboratories – aka NIR Labs and NIR testingNIR-Analyse im Labor und in Laboratorien – aka NIR-Labore und NIR-TestsAnalisi NIR in laboratorio e nei laboratori – noti anche come laboratori NIR e test NIR


Do you have a NIR spectrometer in your Lab?

How many other analytics you do in the Lab could be done faster and cheaper with NIR?

Is this possible and precise enough?

Try, we have the solution for you!
You have the NIR, scan the samples, you have the lab values and the spectra, we calibrate for you!

To see if the application is possible and how precise it can be due to knowledge based intensive model optimizations.

We do the NIR feasibility study with data for you. Fixed prices

NIR has huge application potentials and it's a Green analytical method, that's fast and easy to use. And has today the possibility to scale out with inexpensive mobile NIR spectrometers.

Bring the Lab to the sample. To avoid sample transport and get immediate results for decision at the place or in the process.

Just try the NIR application, use the NIR daily, collect data in parallel, we develop, optimize and maintain the calibration models for you.

How do you think?

Start Calibrate


What is possible today with NIR?
The number of different Applications exploded in the last 2-3 years!
See NIR research papers news daily on @CalibModel or the 7-day summaries "NIR News Weekly" here.

Haben Sie ein NIR-Spektrometer in Ihrem Labor?

Wie viele andere Analysen, die Sie im Labor durchführen, könnten mit NIR schneller und billiger durchgeführt werden?

Ist dies möglich und präzise genug?

Versuchen Sie es, wir haben die Lösung für Sie!
Sie haben das NIR, scannen sie Proben, Sie haben die Laborwerte und die Spektren, wir kalibrieren für Sie!

Um zu sehen, ob die Anwendung möglich ist und wie präzise sie aufgrund von wissensbasierten intensiven Modelloptimierungen sein kann.

Wir führen die NIR-Machbarkeitsstudie mit Daten für Sie durch. Fixpreise

NIR hat ein riesiges Anwendungspotential und ist eine grüne Analysemethode, die schnell und einfach anzuwenden ist. Und hat heute die Möglichkeit, mit kostengünstigen mobilen NIR-Spektrometern zu skalieren.

Bringen Sie das Labor zu der Probe. So vermeiden Sie den Probentransport und erhalten sofortige Ergebnisse zur Entscheidung am Ort oder im Prozess.

Probieren Sie einfach die NIR-Anwendung aus, nutzen Sie das NIR täglich, sammeln Sie parallel dazu Daten, wir entwickeln, optimieren und warten die Kalibriermodelle für Sie.

Wie denken Sie darüber?

Start Calibrate


Was ist heute mit NIR möglich?
Die Zahl der verschiedenen Anwendungen ist in den letzten 2-3 Jahren explodiert!
Sehen Sie hier die täglichen NIR-Forschungsberichte über @CalibModel oder die 7-Tage-Zusammenfassungen "NIR News Weekly".

Avete uno spettrometro NIR nel vostro laboratorio?

Quante altre analisi si possono fare in laboratorio in modo più veloce ed economico con il NIR?

È possibile e sufficientemente preciso?

Provate, abbiamo la soluzione per voi!
Avete il NIR, scansionate i campioni, avete i valori di laboratorio e gli spettri, noi calibriamo per voi!

Per vedere se l'applicazione è possibile e quanto precisa può essere grazie all'ottimizzazione intensiva del modello basata sulla conoscenza.
Facciamo lo studio di fattibilità NIR con i dati per voi. Prezzi fissi

Il NIR ha enormi potenzialità applicative ed è un metodo analitico Green, veloce e facile da usare. E ha oggi la possibilità di scalare con gli economici spettrometri mobili NIR.
Portate il laboratorio al campione. Per evitare il trasporto del campione e ottenere risultati immediati per la decisione sul posto o nel processo.

Basta provare l'applicazione NIR, usare il NIR quotidianamente, raccogliere dati in parallelo, noi sviluppiamo, ottimizziamo e manteniamo i modelli di calibrazione per voi.

Come pensate di fare?

Inizia a calibrare


Cosa è possibile oggi con il NIR?
Il numero di diverse Applicazioni è esploso negli ultimi 2-3 anni!
Vedi le notizie dei giornali di ricerca NIR su @CalibModel o i riassunti di 7 giorni "NIR News Weekly" qui.
________________________________________________

Análise NIR no laboratório e laboratórios - também conhecidos como laboratórios NIR e testes NIR


Tem um espectrómetro NIR no seu laboratório?

Quantas outras análises que faz no Laboratório poderiam ser feitas mais rapidamente e mais baratas com o NIR? Será isto possível e suficientemente preciso?

Tente, nós temos a solução para si!

Tem o NIR, digitaliza as amostras, tem os valores de laboratório e os espectros, nós calibramos para si! Para ver se a aplicação é possível e quão precisa pode ser devido a optimizações de modelos intensivas baseadas no conhecimento.
Fazemos o estudo de viabilidade do NIR com dados para si. Preços fixos

NIR tem um enorme potencial de aplicação e é um método analítico Verde, que é rápido e fácil de usar. E tem hoje a possibilidade de ser escalado com espectrómetros NIR móveis de baixo custo.

Traga o Laboratório para a amostra. Para evitar o transporte de amostras e obter resultados imediatos para decisão no local ou no processo.

Basta experimentar a aplicação NIR, utilizar o NIR diariamente, recolher dados em paralelo, nós desenvolvemos, optimizamos e mantemos os modelos de calibração para si.

Como pensa?

Iniciar a calibração


O que é possível hoje com o NIR?
O número de diferentes Aplicações explodiu nos últimos 2-3 anos!
Ver os jornais de investigação NIR diariamente sobre @CalibModel ou os resumos de 7 dias "NIR News Weekly" aqui.
________________________________________________

El análisis NIR en el laboratorio y los laboratorios - también conocidos como laboratorios NIR y pruebas NIR


Tiene un espectrómetro NIR en su laboratorio?

Cuántos análisis más haces en el laboratorio podrían hacerse más rápido y más barato con el NIR? Es esto posible y suficientemente preciso?

¡Inténtelo, tenemos la solución para usted!
Tienes el NIR, escaneas las muestras, tienes los valores del laboratorio y los espectros, ¡calibramos para ti!

Para ver si la aplicación es posible y cuán precisa puede ser gracias a las optimizaciones intensivas de modelos basadas en el conocimiento.

Hacemos el estudio de viabilidad del NIR con los datos para usted. Precios fijos

El NIR tiene un enorme potencial de aplicación y es un método analítico verde, que es rápido y fácil de usar. Y tiene hoy la posibilidad de escalar con espectrómetros NIR móviles baratos.
Trae el laboratorio a la muestra. Para evitar el transporte de la muestra y obtener resultados inmediatos para la decisión en el lugar o en el proceso.

Pruebe la aplicación NIR, utilice el NIR diariamente, recoja los datos en paralelo, nosotros desarrollamos, optimizamos y mantenemos los modelos de calibración para usted.

Cómo cree usted?

Comenzar a calibrar


Qué es posible hoy en día con el NIR?
¡El número de aplicaciones diferentes explotó en los últimos 2-3 años!
Vea las noticias diarias de los trabajos de investigación del NIR en @CalibModel o los resúmenes de 7 días "NIR News Weekly" aquí.

Spectroscopy and Chemometrics News Weekly #37, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #37, 2020Spettroscopia e Chemiometria Weekly News #37, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 36, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 36, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 36, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"NIR Spectroscopic Techniques for Quality and Process Control in the Meat Industry" LINK

"Estimating coefficient of linear extensibility using Vis–NIR reflectance spectral data: Comparison of model validation approaches" LINK

"NIR spectroscopy and chemometric tools to identify high content of deoxynivalenol in barley" LINK

"Combining multivariate method and spectral variable selection for soil total nitrogen estimation by Vis–NIR spectroscopy" LINK

"Multi-task deep learning of near infrared spectra for improved grain quality trait predictions" LINK

"Multi-factor Fusion Models for Soluble Solid Content Detection in Pear (Pyrus bretschneideri 'Ya') Using Vis/NIR Online Half-transmittance Technique" LINK

"Determining regression equations for predicting the metabolic energy values of barley-producing cultivars in Iran and comparing the results with the results of NIRS method and cultivars ..." LINK

"Using Near-Infrared Reflectance Spectroscopy (NIRS) to Predict Glucobrassicin Concentrations in Cabbage and Brussels Sprout Leaf Tissue" LINK

"Near-Infrared Spectroscopy for Analyzing Changes of Pulp Color of Kiwifruit in Different Depths" LINK

"Novel NIR modeling design and assignment in process quality control of Honeysuckle flower by QbD" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Near-infrared spectroscopy to determine cold-flow improver concentrations in diesel fuel" LINK

"Improving spatial synchronization between X-ray and near-infrared spectra information to predict wood density profiles" LINK

"Functional principal component analysis for near-infrared spectral data: a case study on Tricholoma matsutakeis" LINK

"Midinfrared spectroscopy as a tool for realtime monitoring of ethanol absorption in glycols" LINK

"Inline characterization of dispersion uniformity evolution during a twinscrew blending extrusion based on nearinfrared spectroscopy" LINK

"Development of Fourier Transform near Infrared Spectroscopy Methods for the Rapid Quantification of Starch and Cellulose in Mozzarella and Other Italian-Type CHEESES" LINK

"Prediction of Anthocyanin Content in Three Types of Blueberry Pomace by Near-Infrared Spectroscopy" LINK

"Sweetness Detection and Grading of Peaches and Nectarines by Combining Short-and Long-Wave Fourier-Transform Near-Infrared Spectroscopy" LINK




Spectral Imaging

"Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn" Remote Sensing LINK




Chemometrics and Machine Learning

"Combination of visible reflectance and acoustic response to improve nondestructive assessment of maturity and indirect prediction of internal quality of redfleshed pomelo" LINK

"Green Analytical Methods of Antimalarial Artemether-Lumefantrine Analysis for Falsification Detection Using a LowCost Handled NIR Spectrometer with DD-SIMCA and Drug Quantification by HPLC" LINK

"Data fusion of UPLC data, NIR spectra and physicochemical parameters with chemometrics as an alternative to evaluating kombucha fermentation" LINK

"Effect of physicochemical factors and use of milk powder on milk rennet-coagulation: Process understanding by near infrared spectroscopy and chemometrics" LINK

"A Digital Approach to Model Quality and Sensory Traits of Beers Fermented under Sonication Based on Chemical Fingerprinting" LINK

"Latent Variable Graphical Modeling for High Dimensional Data Analysis" LINK




Equipment for Spectroscopy

"Evaluation of Salmon, Tuna, and Beef Freshness Using a Portable Spectrometer" Sensors LINK

"Developing a soil spectral library using a low-cost NIR spectrometer for precision fertilization in Indonesia" LINK

"Compact Solid Etalon Computational Spectrometer: FY19 Optical Systems Technology Line-Supported Program" LINK




Agriculture NIR-Spectroscopy Usage

"Detection of Melamine Adulteration in Milk Powder by Using Optical Spectroscopy Technologies in the Last Decade—a Review" LINK




Horticulture NIR-Spectroscopy Applications

"Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy" LINK

"Recent Advances in Spectral Analysis Techniques for Non-Destructive Detection of Internal Quality in Watermelon and Muskmelon: A Review" "光谱分析在西甜瓜内部品质无损检测中的研究进展" LINK




Food & Feed Industry NIR Usage

"Detection of fraud in highquality rice by nearinfrared spectroscopy" LINK

"Detecting food fraud in extra virgin olive oil using a prototype portable hyphenated photonics sensor" LINK

"Nondestructive detection of sunset yellow in cream based on near-infrared spectroscopy and interval random forest" LINK




Other

"The Detection of Substitution Adulteration of Paprika with Spent Paprika by the Application of Molecular Spectroscopy Tools." LINK

"The Effect of Monomers on the Recognition Properties of Molecularly Imprinted Beads for Proto-hypericin and Proto-pseudohypericin" | FLOREA GAVRILA 1 20.pdf LINK





.

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 36, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 36, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 36, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"NIR Spectroscopic Techniques for Quality and Process Control in the Meat Industry" LINK

"Estimating coefficient of linear extensibility using Vis–NIR reflectance spectral data: Comparison of model validation approaches" LINK

"NIR spectroscopy and chemometric tools to identify high content of deoxynivalenol in barley" LINK

"Combining multivariate method and spectral variable selection for soil total nitrogen estimation by Vis–NIR spectroscopy" LINK

"Multi-task deep learning of near infrared spectra for improved grain quality trait predictions" LINK

"Multi-factor Fusion Models for Soluble Solid Content Detection in Pear (Pyrus bretschneideri 'Ya') Using Vis/NIR Online Half-transmittance Technique" LINK

"Determining regression equations for predicting the metabolic energy values of barley-producing cultivars in Iran and comparing the results with the results of NIRS method and cultivars ..." LINK

"Using Near-Infrared Reflectance Spectroscopy (NIRS) to Predict Glucobrassicin Concentrations in Cabbage and Brussels Sprout Leaf Tissue" LINK

"Near-Infrared Spectroscopy for Analyzing Changes of Pulp Color of Kiwifruit in Different Depths" LINK

"Novel NIR modeling design and assignment in process quality control of Honeysuckle flower by QbD" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Near-infrared spectroscopy to determine cold-flow improver concentrations in diesel fuel" LINK

"Improving spatial synchronization between X-ray and near-infrared spectra information to predict wood density profiles" LINK

"Functional principal component analysis for near-infrared spectral data: a case study on Tricholoma matsutakeis" LINK

"Midinfrared spectroscopy as a tool for realtime monitoring of ethanol absorption in glycols" LINK

"Inline characterization of dispersion uniformity evolution during a twinscrew blending extrusion based on nearinfrared spectroscopy" LINK

"Development of Fourier Transform near Infrared Spectroscopy Methods for the Rapid Quantification of Starch and Cellulose in Mozzarella and Other Italian-Type CHEESES" LINK

"Prediction of Anthocyanin Content in Three Types of Blueberry Pomace by Near-Infrared Spectroscopy" LINK

"Sweetness Detection and Grading of Peaches and Nectarines by Combining Short-and Long-Wave Fourier-Transform Near-Infrared Spectroscopy" LINK




Spectral Imaging

"Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn" Remote Sensing LINK




Chemometrics and Machine Learning

"Combination of visible reflectance and acoustic response to improve nondestructive assessment of maturity and indirect prediction of internal quality of redfleshed pomelo" LINK

"Green Analytical Methods of Antimalarial Artemether-Lumefantrine Analysis for Falsification Detection Using a LowCost Handled NIR Spectrometer with DD-SIMCA and Drug Quantification by HPLC" LINK

"Data fusion of UPLC data, NIR spectra and physicochemical parameters with chemometrics as an alternative to evaluating kombucha fermentation" LINK

"Effect of physicochemical factors and use of milk powder on milk rennet-coagulation: Process understanding by near infrared spectroscopy and chemometrics" LINK

"A Digital Approach to Model Quality and Sensory Traits of Beers Fermented under Sonication Based on Chemical Fingerprinting" LINK

"Latent Variable Graphical Modeling for High Dimensional Data Analysis" LINK




Equipment for Spectroscopy

"Evaluation of Salmon, Tuna, and Beef Freshness Using a Portable Spectrometer" Sensors LINK

"Developing a soil spectral library using a low-cost NIR spectrometer for precision fertilization in Indonesia" LINK

"Compact Solid Etalon Computational Spectrometer: FY19 Optical Systems Technology Line-Supported Program" LINK




Agriculture NIR-Spectroscopy Usage

"Detection of Melamine Adulteration in Milk Powder by Using Optical Spectroscopy Technologies in the Last Decade—a Review" LINK




Horticulture NIR-Spectroscopy Applications

"Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy" LINK

"Recent Advances in Spectral Analysis Techniques for Non-Destructive Detection of Internal Quality in Watermelon and Muskmelon: A Review" "光谱分析在西甜瓜内部品质无损检测中的研究进展" LINK




Food & Feed Industry NIR Usage

"Detection of fraud in highquality rice by nearinfrared spectroscopy" LINK

"Detecting food fraud in extra virgin olive oil using a prototype portable hyphenated photonics sensor" LINK

"Nondestructive detection of sunset yellow in cream based on near-infrared spectroscopy and interval random forest" LINK




Other

"The Detection of Substitution Adulteration of Paprika with Spent Paprika by the Application of Molecular Spectroscopy Tools." LINK

"The Effect of Monomers on the Recognition Properties of Molecularly Imprinted Beads for Proto-hypericin and Proto-pseudohypericin" | FLOREA GAVRILA 1 20.pdf LINK





.

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 36, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 36, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 36, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"NIR Spectroscopic Techniques for Quality and Process Control in the Meat Industry" LINK

"Estimating coefficient of linear extensibility using Vis–NIR reflectance spectral data: Comparison of model validation approaches" LINK

"NIR spectroscopy and chemometric tools to identify high content of deoxynivalenol in barley" LINK

"Combining multivariate method and spectral variable selection for soil total nitrogen estimation by Vis–NIR spectroscopy" LINK

"Multi-task deep learning of near infrared spectra for improved grain quality trait predictions" LINK

"Multi-factor Fusion Models for Soluble Solid Content Detection in Pear (Pyrus bretschneideri 'Ya') Using Vis/NIR Online Half-transmittance Technique" LINK

"Determining regression equations for predicting the metabolic energy values of barley-producing cultivars in Iran and comparing the results with the results of NIRS method and cultivars ..." LINK

"Using Near-Infrared Reflectance Spectroscopy (NIRS) to Predict Glucobrassicin Concentrations in Cabbage and Brussels Sprout Leaf Tissue" LINK

"Near-Infrared Spectroscopy for Analyzing Changes of Pulp Color of Kiwifruit in Different Depths" LINK

"Novel NIR modeling design and assignment in process quality control of Honeysuckle flower by QbD" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Near-infrared spectroscopy to determine cold-flow improver concentrations in diesel fuel" LINK

"Improving spatial synchronization between X-ray and near-infrared spectra information to predict wood density profiles" LINK

"Functional principal component analysis for near-infrared spectral data: a case study on Tricholoma matsutakeis" LINK

"Midinfrared spectroscopy as a tool for realtime monitoring of ethanol absorption in glycols" LINK

"Inline characterization of dispersion uniformity evolution during a twinscrew blending extrusion based on nearinfrared spectroscopy" LINK

"Development of Fourier Transform near Infrared Spectroscopy Methods for the Rapid Quantification of Starch and Cellulose in Mozzarella and Other Italian-Type CHEESES" LINK

"Prediction of Anthocyanin Content in Three Types of Blueberry Pomace by Near-Infrared Spectroscopy" LINK

"Sweetness Detection and Grading of Peaches and Nectarines by Combining Short-and Long-Wave Fourier-Transform Near-Infrared Spectroscopy" LINK




Spectral Imaging

"Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn" Remote Sensing LINK




Chemometrics and Machine Learning

"Combination of visible reflectance and acoustic response to improve nondestructive assessment of maturity and indirect prediction of internal quality of redfleshed pomelo" LINK

"Green Analytical Methods of Antimalarial Artemether-Lumefantrine Analysis for Falsification Detection Using a LowCost Handled NIR Spectrometer with DD-SIMCA and Drug Quantification by HPLC" LINK

"Data fusion of UPLC data, NIR spectra and physicochemical parameters with chemometrics as an alternative to evaluating kombucha fermentation" LINK

"Effect of physicochemical factors and use of milk powder on milk rennet-coagulation: Process understanding by near infrared spectroscopy and chemometrics" LINK

"A Digital Approach to Model Quality and Sensory Traits of Beers Fermented under Sonication Based on Chemical Fingerprinting" LINK

"Latent Variable Graphical Modeling for High Dimensional Data Analysis" LINK




Equipment for Spectroscopy

"Evaluation of Salmon, Tuna, and Beef Freshness Using a Portable Spectrometer" Sensors LINK

"Developing a soil spectral library using a low-cost NIR spectrometer for precision fertilization in Indonesia" LINK

"Compact Solid Etalon Computational Spectrometer: FY19 Optical Systems Technology Line-Supported Program" LINK




Agriculture NIR-Spectroscopy Usage

"Detection of Melamine Adulteration in Milk Powder by Using Optical Spectroscopy Technologies in the Last Decade—a Review" LINK




Horticulture NIR-Spectroscopy Applications

"Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy" LINK

"Recent Advances in Spectral Analysis Techniques for Non-Destructive Detection of Internal Quality in Watermelon and Muskmelon: A Review" "光谱分析在西甜瓜内部品质无损检测中的研究进展" LINK




Food & Feed Industry NIR Usage

"Detection of fraud in highquality rice by nearinfrared spectroscopy" LINK

"Detecting food fraud in extra virgin olive oil using a prototype portable hyphenated photonics sensor" LINK

"Nondestructive detection of sunset yellow in cream based on near-infrared spectroscopy and interval random forest" LINK




Other

"The Detection of Substitution Adulteration of Paprika with Spent Paprika by the Application of Molecular Spectroscopy Tools." LINK

"The Effect of Monomers on the Recognition Properties of Molecularly Imprinted Beads for Proto-hypericin and Proto-pseudohypericin" | FLOREA GAVRILA 1 20.pdf LINK





.

Spectroscopy and Chemometrics News Weekly #33, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #33, 2020Spettroscopia e Chemiometria Weekly News #33, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 32, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 32, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 32, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Integrated soluble solid and nitrate content assessment of spinach plants using portable NIRS sensors along the supply chain" LINK

"Evaluation of Near Infrared Spectroscopy (NIRS) and Remote Sensing (RS) for Estimating Pasture Quality in Mediterranean Montado Ecosystem" LINK

"Evaluation of Homogeneity in Drug Seizures Using Near-Infrared (NIR) Hyperspectral Imaging and Principal Component Analysis (PCA)"LINK

"FT-NIRS Coupled with PLS Regression as a Complement to HPLC Routine Analysis of Caffeine in Tea Samples" Foods LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer" LINK

"EXPRESS: Monitoring Polyurethane Foaming Reactions Using Near-Infrared Hyperspectral Imaging" LINK

"Near-infrared spectroscopy for monitoring free jejunal flap." LINK

"Real-Time and Online Inspection of Multiple Pork Quality Parameters Using Dual-Band Visible/N ear-Infrared Spectroscopy" LINK

"An approach to quantify natural durability of Eucalyptus bosistoana by near infrared spectroscopy for genetic selection" LINK

"Rapid detection of green pea adulteration in ground pistachio nuts using near and mid-infrared spectroscopy" LINK

"Non‐invasive quality analysis of thawed tuna using near infrared spectroscopy with baseline correction" LINK




Raman Spectroscopy

"Low-Content Quantitation in Entecavir Tablets Using 1064 nm Raman Spectroscopy" LINK




Hyperspectral Imaging (HSI)

"Detecting defects on cheese using hyperspectral image analysisLINK

"Non-destructive discrimination of the variety of sweet maize seeds based on hyperspectral image coupled with wavelength selection algorithm" LINK

"Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water" Remote Sensing LINK

"Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning" LINK




Chemometrics and Machine Learning

"Maintaining the predictive abilities of near-infrared spectroscopy models for the determination of multi-parameters in White Paeony Root" LINK

"Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data" Sensors LINK

"Authentication of the Geographical Origin of “Vallerano” Chestnut by Near Infrared Spectroscopy Coupled with Chemometrics" LINK




Agriculture NIR-Spectroscopy Usage

"Relationship between chemical composition and standardized ileal digestible amino acid contents of corn grain in broiler chickens" LINK

"NIR spectroscopy and management of bioactive components, antioxidant activity, and macronutrients in fruits" LINK

"Determination of mechanical properties of whey protein films during accelerated aging: Application of FTIR profiles and chemometric tools" LINK

"A portable IoT NIR spectroscopic system to analyze the quality of dairy farm forage" LINK

"Exploring Relevant Wavelength Regions for Estimating Soil Total Carbon Contents of Rice Fields in Madagascar from Vis-NIR Spectra with Sequential Application of …" LINK

"Applied Sciences, Vol. 10, Pages 4345: Observation of Potential Contaminants in Processed Biomass Using Fourier Transform Infrared Spectroscopy" LINK

"Animals, Vol. 10, Pages 1095: Comparison of Fatty Acid Proportions Determined by Mid-Infrared Spectroscopy and Gas Chromatography in Bulk and Individual Milk Samples" LINK

"Manipulation of Fruit Dry Matter via Seasonal Pruning and Its Relationship to dAnjou Pear Yield and Fruit Quality" Agronomy LINK




Forestry and Wood Industry NIR Usage

"The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties" LINK




Food & Feed Industry NIR Usage

"Analysis of sorghum content in corn–sorghum flour bioethanol feedstock by near infrared spectroscopy" LINK

"Quantitative detection of fatty acid value during storage of wheat flour based on a portable near-infrared (NIR) spectroscopy system" LINK

"Integration of spectra and image features of Vis/NIR hyperspectral imaging for prediction of deoxynivalenol contamination in whole wheat flour" LINK

"Ongoing Research on Microgreens: Nutritional Properties, Shelf-Life, Sustainable Production, Innovative Growing and Processing Approaches" Foods LINK




Pharma Industry NIR Usage

"Direct Catalytic Fuel Cell Device Coupled to Chemometric Methods to Detect Organic Compounds of Pharmaceutical and Biomedical Interest" Sensors LINK




Laboratory and NIR-Spectroscopy

"Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips" LINK




Other

"Phenotypic plasticity and nonstructural carbohydrates in annual growth rings of the australian red cedar clones in contrasting enviroments" LINK





NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 32, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 32, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 32, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Integrated soluble solid and nitrate content assessment of spinach plants using portable NIRS sensors along the supply chain" LINK

"Evaluation of Near Infrared Spectroscopy (NIRS) and Remote Sensing (RS) for Estimating Pasture Quality in Mediterranean Montado Ecosystem" LINK

"Evaluation of Homogeneity in Drug Seizures Using Near-Infrared (NIR) Hyperspectral Imaging and Principal Component Analysis (PCA)"LINK

"FT-NIRS Coupled with PLS Regression as a Complement to HPLC Routine Analysis of Caffeine in Tea Samples" Foods LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer" LINK

"EXPRESS: Monitoring Polyurethane Foaming Reactions Using Near-Infrared Hyperspectral Imaging" LINK

"Near-infrared spectroscopy for monitoring free jejunal flap." LINK

"Real-Time and Online Inspection of Multiple Pork Quality Parameters Using Dual-Band Visible/N ear-Infrared Spectroscopy" LINK

"An approach to quantify natural durability of Eucalyptus bosistoana by near infrared spectroscopy for genetic selection" LINK

"Rapid detection of green pea adulteration in ground pistachio nuts using near and mid-infrared spectroscopy" LINK

"Non‐invasive quality analysis of thawed tuna using near infrared spectroscopy with baseline correction" LINK




Raman Spectroscopy

"Low-Content Quantitation in Entecavir Tablets Using 1064 nm Raman Spectroscopy" LINK




Hyperspectral Imaging (HSI)

"Detecting defects on cheese using hyperspectral image analysisLINK

"Non-destructive discrimination of the variety of sweet maize seeds based on hyperspectral image coupled with wavelength selection algorithm" LINK

"Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water" Remote Sensing LINK

"Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning" LINK




Chemometrics and Machine Learning

"Maintaining the predictive abilities of near-infrared spectroscopy models for the determination of multi-parameters in White Paeony Root" LINK

"Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data" Sensors LINK

"Authentication of the Geographical Origin of “Vallerano” Chestnut by Near Infrared Spectroscopy Coupled with Chemometrics" LINK




Agriculture NIR-Spectroscopy Usage

"Relationship between chemical composition and standardized ileal digestible amino acid contents of corn grain in broiler chickens" LINK

"NIR spectroscopy and management of bioactive components, antioxidant activity, and macronutrients in fruits" LINK

"Determination of mechanical properties of whey protein films during accelerated aging: Application of FTIR profiles and chemometric tools" LINK

"A portable IoT NIR spectroscopic system to analyze the quality of dairy farm forage" LINK

"Exploring Relevant Wavelength Regions for Estimating Soil Total Carbon Contents of Rice Fields in Madagascar from Vis-NIR Spectra with Sequential Application of …" LINK

"Applied Sciences, Vol. 10, Pages 4345: Observation of Potential Contaminants in Processed Biomass Using Fourier Transform Infrared Spectroscopy" LINK

"Animals, Vol. 10, Pages 1095: Comparison of Fatty Acid Proportions Determined by Mid-Infrared Spectroscopy and Gas Chromatography in Bulk and Individual Milk Samples" LINK

"Manipulation of Fruit Dry Matter via Seasonal Pruning and Its Relationship to dAnjou Pear Yield and Fruit Quality" Agronomy LINK




Forestry and Wood Industry NIR Usage

"The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties" LINK




Food & Feed Industry NIR Usage

"Analysis of sorghum content in corn–sorghum flour bioethanol feedstock by near infrared spectroscopy" LINK

"Quantitative detection of fatty acid value during storage of wheat flour based on a portable near-infrared (NIR) spectroscopy system" LINK

"Integration of spectra and image features of Vis/NIR hyperspectral imaging for prediction of deoxynivalenol contamination in whole wheat flour" LINK

"Ongoing Research on Microgreens: Nutritional Properties, Shelf-Life, Sustainable Production, Innovative Growing and Processing Approaches" Foods LINK




Pharma Industry NIR Usage

"Direct Catalytic Fuel Cell Device Coupled to Chemometric Methods to Detect Organic Compounds of Pharmaceutical and Biomedical Interest" Sensors LINK




Laboratory and NIR-Spectroscopy

"Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips" LINK




Other

"Phenotypic plasticity and nonstructural carbohydrates in annual growth rings of the australian red cedar clones in contrasting enviroments" LINK





NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 32, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 32, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 32, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Integrated soluble solid and nitrate content assessment of spinach plants using portable NIRS sensors along the supply chain" LINK

"Evaluation of Near Infrared Spectroscopy (NIRS) and Remote Sensing (RS) for Estimating Pasture Quality in Mediterranean Montado Ecosystem" LINK

"Evaluation of Homogeneity in Drug Seizures Using Near-Infrared (NIR) Hyperspectral Imaging and Principal Component Analysis (PCA)"LINK

"FT-NIRS Coupled with PLS Regression as a Complement to HPLC Routine Analysis of Caffeine in Tea Samples" Foods LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer" LINK

"EXPRESS: Monitoring Polyurethane Foaming Reactions Using Near-Infrared Hyperspectral Imaging" LINK

"Near-infrared spectroscopy for monitoring free jejunal flap." LINK

"Real-Time and Online Inspection of Multiple Pork Quality Parameters Using Dual-Band Visible/N ear-Infrared Spectroscopy" LINK

"An approach to quantify natural durability of Eucalyptus bosistoana by near infrared spectroscopy for genetic selection" LINK

"Rapid detection of green pea adulteration in ground pistachio nuts using near and mid-infrared spectroscopy" LINK

"Non‐invasive quality analysis of thawed tuna using near infrared spectroscopy with baseline correction" LINK




Raman Spectroscopy

"Low-Content Quantitation in Entecavir Tablets Using 1064 nm Raman Spectroscopy" LINK




Hyperspectral Imaging (HSI)

"Detecting defects on cheese using hyperspectral image analysisLINK

"Non-destructive discrimination of the variety of sweet maize seeds based on hyperspectral image coupled with wavelength selection algorithm" LINK

"Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water" Remote Sensing LINK

"Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning" LINK




Chemometrics and Machine Learning

"Maintaining the predictive abilities of near-infrared spectroscopy models for the determination of multi-parameters in White Paeony Root" LINK

"Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data" Sensors LINK

"Authentication of the Geographical Origin of “Vallerano” Chestnut by Near Infrared Spectroscopy Coupled with Chemometrics" LINK




Agriculture NIR-Spectroscopy Usage

"Relationship between chemical composition and standardized ileal digestible amino acid contents of corn grain in broiler chickens" LINK

"NIR spectroscopy and management of bioactive components, antioxidant activity, and macronutrients in fruits" LINK

"Determination of mechanical properties of whey protein films during accelerated aging: Application of FTIR profiles and chemometric tools" LINK

"A portable IoT NIR spectroscopic system to analyze the quality of dairy farm forage" LINK

"Exploring Relevant Wavelength Regions for Estimating Soil Total Carbon Contents of Rice Fields in Madagascar from Vis-NIR Spectra with Sequential Application of …" LINK

"Applied Sciences, Vol. 10, Pages 4345: Observation of Potential Contaminants in Processed Biomass Using Fourier Transform Infrared Spectroscopy" LINK

"Animals, Vol. 10, Pages 1095: Comparison of Fatty Acid Proportions Determined by Mid-Infrared Spectroscopy and Gas Chromatography in Bulk and Individual Milk Samples" LINK

"Manipulation of Fruit Dry Matter via Seasonal Pruning and Its Relationship to dAnjou Pear Yield and Fruit Quality" Agronomy LINK




Forestry and Wood Industry NIR Usage

"The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties" LINK




Food & Feed Industry NIR Usage

"Analysis of sorghum content in corn–sorghum flour bioethanol feedstock by near infrared spectroscopy" LINK

"Quantitative detection of fatty acid value during storage of wheat flour based on a portable near-infrared (NIR) spectroscopy system" LINK

"Integration of spectra and image features of Vis/NIR hyperspectral imaging for prediction of deoxynivalenol contamination in whole wheat flour" LINK

"Ongoing Research on Microgreens: Nutritional Properties, Shelf-Life, Sustainable Production, Innovative Growing and Processing Approaches" Foods LINK




Pharma Industry NIR Usage

"Direct Catalytic Fuel Cell Device Coupled to Chemometric Methods to Detect Organic Compounds of Pharmaceutical and Biomedical Interest" Sensors LINK




Laboratory and NIR-Spectroscopy

"Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips" LINK




Other

"Phenotypic plasticity and nonstructural carbohydrates in annual growth rings of the australian red cedar clones in contrasting enviroments" LINK





Professional NIR-Spectroscopy Chemometric Data Science as a ServiceProfessionelle NIR-Spektroskopie Chemometrische Daten Science als DienstleistungLa scienza dei dati chemometrici NIR-Spectroscopia professionale come servizio

CalibrationModel.com is a Professional Development of
NIR-Spectroscopic Chemometric Calibration Models as a Service.

  • With CalibrationModel.com service, NIR-models can be developed without Chemometric Software.

  • It works for nearly all desktop and mobile NIR Spectrometers.

  • The included free NIR-Predictor software allows to create instantly analysis result reports with multiple NIR-models at once without an internet connection.

  • By sending the NIR and Lab data, quantitative models are developed and optimized to be downloaded in licensed or perpetual-unlimited versions.

  • The complete calibration settings that includes the intellectual property is also available.




  • The Trial Calibration is an individually tailored ready-to-use NIR calibration file that matches your data and product with 7 days evaluation possibility (try before you buy).

    Start Trial Calibration


    NIR Calibration Model Service explained
    CalibrationModel.com ist eine professionelle Dienstleistung zur Entwicklung
    von NIR-spektroskopischen chemometrischen Kalibrierungsmodellen.

    • Mit dem Dienst CalibrationModel.com können NIR-Modelle ohne chemometrische Software entwickelt werden.

    • Er funktioniert mit fast allen Desktop- und mobilen NIR-Spektrometern.

    • Die mitgelieferte kostenlose NIR-Predictor-Software ermöglicht die sofortige Erstellung von Analyse-Ergebnisberichten mit mehreren NIR-Modellen gleichzeitig ohne Internetverbindung.

    • Durch das Senden der NIR- und Labordaten werden quantitative Modelle entwickelt und optimiert, die in lizenzierter oder unbefristet unbegrenzter Version heruntergeladen werden können.

    • Die vollständigen Kalibrierungseinstellungen, die das geistige Eigentum einschließen, sind ebenfalls verfügbar.




    Die Testkalibrierung ist eine individuell zugeschnittene, gebrauchsfertige NIR Kalibrierungsdatei die mit Ihren Daten und Ihrem Produkt übereinstimmt, mit 7 Tagen Evaluierungsmöglichkeit (probieren Sie es aus, bevor Sie kaufen)

    Start Trial Calibration


    NIR Calibration Model Service erklärt
    CalibrationModel.com è uno sviluppo professionale di
    NIR-Spectroscopic Chemometric Calibration Models come servizio.

    • Con il servizio CalibrationModel.com, i modelli NIR possono essere sviluppati senza Software Chemometrico.

    • Funziona per quasi tutti gli spettrometri NIR da tavolo e mobili.

    • Il software gratuito NIR-Predictor incluso permette di creare istantaneamente rapporti di analisi dei risultati con più modelli NIR in una sola volta senza connessione internet.

    • Inviando i dati NIR e Lab, i modelli quantitativi vengono sviluppati e ottimizzati per essere scaricati in versioni con licenza o perpetua illimitata.

    • Sono disponibili anche le impostazioni di calibrazione complete che includono la proprietà intellettuale.




    La Trial Calibration è un file di calibrazione NIR pronto per l'uso personalizzato che corrisponda ai vostri dati e al prodotto con possibilità di valutazione per 7 giorni (provare prima di acquistare)

    Start Trial Calibration


    Spiegazione del servizio di calibrazione del modello NIR

    NIR-Predictor – Manual


    NIR-Predictor – Manual

    Predicting Spectra

    It’s easy to use with NIR-Predictor,
    just drag & drop your data for getting the prediction results.

    It supports an automatic file format detection.
    So you don’t need to specify the instrument type and settings! See the list of supported formats and NIR Vendors: NIR-Predictor supported Spectral Data File Formats

    Use the included data to checkout how it feels:

    1. Open the demo Spectra folder by using the Menu > Open Demo Spectra or press F8.
      There are files with spectra from different Vendors.
    2. Drag & drop a spectra file onto the NIR-Predictor window (or press Ctrl+O as for ’Open some files).
    3. The spectra will be
      • loaded
      • pre-processed
      • predicted and
      • reported

    Note:
    All the steps are fully automatic.
    All calibrations that are compatible with the spectra, will produce prediction results in one go.
    To select specific calibrations choose the Application. Where the ” ” empty means use all the calibrations.
    To define a Application read more in chapter “Applications”

    Hint:
    To get access to Statistics of Predictions and Reports use the Menu > Show more/less (Ctrl+M) or you can simply resize the window. Here you can also re-do the Analyze step manually with changed inputs (e.g. Result Ordering).


    Creating your own Calibrations

    How it works – step by step

    1. You have measured your samples with you NIR-Instrument Software.
      And got the Lab-values of these samples.

      samples
      -> measured NIR-spectra
      -> Lab-references analytics

    2. Now you need to combine these data.

      NIR-spectra + Lab-references
      -> PropertiesBySamples

      Note: If you combined these data already in your NIR software used,
      and you can export it as a JCAMP-DX file then use
      Menu > Create Request File .req ... (F2)
      and read the “Help.html” and NIR-Predictor JCAMP.
      Else proceed as below.

      The NIR-Predictor provides tooling for that:

      Menu > Create Properties File... (F6)

      Select the folder with your NIR spectra measured for an application.
      NIR-Predictor creates a customized Properties file template for that data to enter the Lab values.

      Note: You don’t need to specify your instrument or vendor or an application. It’s all done automatically. And also the sample spectra are detected and grouped automatically!

    3. Use your favorite editor or spreadsheet program to enter and copy&paste
      the Lab-references Values into the columns “Prop1”, “Prop2” etc. and save the file.
    4. A final check of your entered data is done by NIR-Predictor,
      to make sure your data ist complete and all is fine.

      Menu > Create Calibration Request... (F7)

      Select the folder with the filled file.
      A CalibrationRequest.zip is created with the necessary data
      if enougth diverse Lab values are entered.

    5. Email the CalibrationRequest.zip file
      to info@CalibrationModel.com to develop the calibrations.
    6. When your calibrations are ready, you will receive an email with a link
      to the CalibrationModel WebShop where
      you can purchase and download the calibration files,
      that work with our free NIR-Predictor software without internet access.

      Note: Your sent NIR data is deleted after processing.
      We do not collect your NIR data!

    Note: Further details can be found under “Create Properties File” and “Create Calibration Request”.


    Configure the Calibrations for prediction usage

    Configuration:

    1. in NIR-Predictor : Menu > Open Calibrations (F9)
    2. an explorer window is opened where the calibrations are located
    3. create a folder for your application, choose a name
    4. copy the calibration file(s) (*.cm) into that folder
    5. in NIR-Predictor : Menu > Search and load Applications (F4)

    Usage:

    1. in NIR-Predictor : open the Application drop down list, and select your application by name
    2. if all is fine, the calibration file is valid and not expired, it shows : Calibration “1 valid calibation”
    3. the NIR-Predictor is now ready to predict
    4. to switch the application, goto 6.

    Applications

    The Application concept allows to group multiple Calibrations together for an Application. By selecting an Application before prediction, only the Calibrations belonging to the Application will be used for Prediction. In the Demo Data this is used to have multiple spectrometer as Application. This can be used easily as e.g. as Application “Meat Products” containing Fat and Moisture Calibration.

    To create an Application, create a folder with the Application’s name inside the Calibrations folder, and move/copy all the Calibrations files to this Application folder. To remove a Calibration from the Application, remove the Calibration file from the Application folder.

    After creating an new Application folder, press menu Search and load Applications (F4) to update the NIR-Predictor dialog where the Application can be selected via the dropdown list. You don’t need to close the NIR-Predictor.

    After moving Calibration files around, press menu Search and load Calibrations (F5) to update the NIR-Predictor dialog.

    The use-all case

    In the NIR-Predictor dialog where the Application can be selected via the dropdown list, the empty "" name means that all (yes all) valid Calibrations will be used for prediction.

    Note: The Prediction Report will contain only results from spectral compatible Calibrations with the given spectra. That allows to automatically handle the multi vendor NIR instrument usage.


    Prediction Result Report

    Histograms of Prediction Values per Property

    Shows the distribution of the predicted results per calibration. The histogram range contains the range of the calibrated property and includes the predicted results.

    The histogram bar (bin) color is defined as follow:

    • blue : all predictions inside calibration range.
    • red : all predictions outside calibration range.
    • orange : some overlaps with calibration range.
      So not all spectra in a orange bin are outside calibration range.
    Histograms

    Note: Predicted values are always shown in Histogram table and Prediction Value List table, even if the spectrum does not fit into model (spectrum different to model, aka Residual Outlier) shown as Out = X.

    Note: Old browsers like Microsoft Internet Explorer 11 don’t support the grafics for Histogram charts. Use an current browser like Firefox or Chrome or Edge.

    Note: If your browser opens the report too slow, try to deactivate some browser plugins, because they can filter what you look at and some add-ons are really slow.

    Spectra Plot Thumbnail on the Prediction Report

    Visualizes the min,median,max spectrum of the spectra dropped as files on the NIR-Predictor. This gives a minimal and good spectral overview of the predicted property results.

    • Spectra Plot color legend: min,median,max spectrum by predicted property or if no calibration is available by spectral intensity.
    • The min,median,max is determined from the predicted properties or if not available from the intensity of the spectra.
    • Beside the histogram of the predicted properties, where the distribution can be seen, the spectra shown are the ones from min,median,max predicted property.
    • This gives a minimal and good spectral overview of the predicted property results.
    • The “Spectral Range” and number of datapoints is shown in the Prediction Report Header below the listed spectra files.
    • To zoom the spectra plot a little, zoom the report in the browser (hold ctrl + mouse wheel, or pinch on touch screen).
    • The spectra plots and histograms are stored with the report and can be archived.

    Note

    • Note that the spectra are shown in the raw values that are loaded, they are not shown pre-processed as the calibration model uses them to make the prediction.
    • Note that the median property spectrum is the median from the predicted property pobulation and not the “median” of the calibration property range.
    • Note that in the multi calibration prediction case, the spectra are selected for each property based on the related predicted property values and so the spectra plots shows typical different spectra.
    Spectra Plot

    Outlier Detection

    To safeguard the prediction results, outliers are automatically checked for each individual prediction. This is based on limits that are determined when creating the calibration with the base data. Thus, a strange spectral measurement can be detected and signaled as an outlier even without base data only by means of the calibration and the NIR predictor. A prediction result with outlier warning is to be distrusted. How the various outlier tests are interpreted and how to avoid them in practice is described here.

    The spectrum is an outlier to the model, if the spectrum is not similar with the spectra and lab-values the model is built with.

    This legend is shown on each NIR-Predictor prediction report below the results:

    Outlier (Out) Symbol Description

    • “X” : spectrum does not fit into model (spectrum different to model)
    • “O” : spectrum is wide outside model center (spectrum similar to model but far away)
    • “=” : prediction is outside upper or lower range of model (property outside model range)
    • “-” : spectrum is incompatible to calibration

    Note: A prediction result with outlier warning is to be distrusted.

    There are 3 outlier cases (X, O, =) and the incompatible data case “-”.

    • The bad case is “X”
    • the medium case is “O”
    • and the soft case is “=”.

    The technical names in literature correspond to:

    • “X” : Spectral Residual Outlier
    • “O” : Leverage Outlier
    • “=” : Property Range Outlier

    These 3 outlier cases can appear in combinations, like “XO=” or “XO” or “O=” or “X=”. The more outlier marker are shown the more likely the spectrum is an Outlier.

    The default setting in NIR-Predictor Menu > “Report with Simplified Outlier Symbols”

    • is ON, that will show only the worst case instead of all combinations to have a simplified minimal information.
    • if OFF, that will show the combinations (e.g. “XO=” or “XO” or “O=” or “X=”), which is more informative for analyzing problem cases.

    Some hints to avoid these Outliers:

    • “X” : spectrum does not fit into model (spectrum different to model)
      Check if the spectrum is noise only, or has no proper signal. That can happen when measured past the sample or measured into the air or at a different substance. If you have multiple NIR instruments of the same type, use spectra measured with different instruments for the calibration.
    • “O” : spectrum is wide outside model center (spectrum similar to model but far away) Sample temperature has an effect on NIR spectra shape, use spectra measured at different (typical use) temperatures (sample temperature, instrument temperature).
    • “=” : prediction is outside upper or lower range of model (property outside model range)
      Use more spectra for the calibration in the Lab value region where your special interest is. If the predicted value is only a little bit out of the calibration range, it can be Ok. Add these spectra to the calibration spectra (with the Lab values), to extend the prediction range of the calibration.
    • “-” : spectrum is incompatible to calibration
      The spectra (from the NIR instrument) has a different wavelength range or a different resolution than the spectra used for calibration. Check Instrument settings (wavelength range, resolution)

    Result Ordering

    To change the ordering, a drop-down-box is located below the Analyze button. If there is an analysis from the current session, and the Result Ordering is changed, the data is re-Analyzed and reported with the new Result Ordering setting. That allows to compare the different orderings. The Result Ordering is listed in the Prediction Report above the Prediction Value List and stored in the settings.

    The order/sorting of the prediction results of the spectra can be defined:

    • GivenOrder (default) the given order of the spectra from file select dialog or drag&drop

    *) sorted : ascending sort

    • Date_Name sorted by Date (if any) and then by Name
    • Name_Date sorted by Name and then by Date
    • Date_NamesWithNumbers sorted by Date (if any) and then by Name with number logic
    • NamesWithNumbers_Date sorted by Name with number logic (e.g. “ABC1” is before “ABC002” ) and then by Date

    *) as above but sorted Rev : reverse sort = descending sort

    • Rev_Date_Name
    • Rev_Name_Date
    • Rev_Date_NamesWithNumbers
    • Rev_NamesWithNumbers_Date

    E.g. with reverse sort by Rev_Date_Name, the newest spectra appear on top.

    Depending on how many calibrations are used the result table is getting broader. To print the report (e.g. to Adobe PDF, FreePDF or Microsoft XPS), sometimes the landscape format is shorter in number of pages or in portrait a scale of 80% fits nicely. Or try another internet browser (Mozilla Firefox, Google Chrome, Microsoft Edge, …) to print the report and set the browser as your default browser so it will be opened by default.

    Archiving Reports

    Each report is contained in one file only, including the grafics. To save storage space the report file folder can be compressed to a zip file (.zip, .7z).


    Enter lab values to NIR spectra

    Entering the laboratory reference values for NIR calibrations

    We have developed specialized tools into NIR-Predictor to combine the NIR and Lab data is a sample-based safe manner.

    The main target is to improve Data Quality during the step of combining of the Lab data and the NIR data, because to model a good reliable calibration the data that build the base needs to be of high quality.

    It also simplifies to enter the lab values manually to the corresponding NIR data, because of automatically grouping repeated NIR measurements of the same sample, so the lab values can be entered sample based and not by spectrum.

    It helps to avoid false reference data, because of the broken relation of NIR spectra and reference values, data entry on the wrong position in the table.

    And Helps to detect errors of duplicated or multiple copies of spectra files, and checks for inconsistencies in Date-Time and Sample-Naming. It also checks for missing values.

    That all increases the Data Quality for the next step of Calibration Development, and makes data entry a less time consuming and less risky work.

    How it works

    1. Menu > Create Properties File... (F6) select the folder with your NIR spectra measured for an application. NIR-Predictor creates a Properties file template for that data : PropertiesBySamples.csv.txt
    2. Use your favorite editor or spreadsheet program to enter and copy&paste the Lab Values into the columns and save the file.
    3. Menu > Create Calibration Request... (F7) select the folder with the filled file for a last check and a Calibration Request file is created with the needed data as a single zip file.
    4. Email the Calibration Request file to info@CalibrationModel.com to develop the calibrations.

    Ok that is it, the NIR-Predictor guides you through the steps needed. And if you need to know more details, the Chapter “Create Properties File” is for you.

    Create Properties File

    Note:

    • If you have (exported) JCAMP-DX files containing the Lab-Values, you don’t need to do this step.
      You can send the JCAMP file with your Request (.req) file directly to the calibration service at info@CalibrationModel.com.
    • If your JCAMP-DX files does NOT contain Lab-Values, this is a way to go.

    For calibrating the spectra to the lab-values you need to assign the lab-values to the spectra. The easiest way is to have a table where each spectrum (row) is linked to multiple lab-values (columns). This function Create Properties File build such a table for the selected spectra folder automatically!

    This table is stored in the file PropertiesBySamples.csv.txt. This can be created for any spectra folder you like. The file extension is .csv.txt to make it easy to edit in a text editor and also in a spreadsheet (excel). The columns are standard TAB separated.

    The file header line contains :

    Sample Replicates Names Prop1 Prop2 Prop3 DateFirst DateLast Hashes

    Where Name and Date describes the spectrum.

    Prop1, Prop2, Prop3 are the place to enter the Lab Reference Concentrations properties corresponding to each spectrum. It can be extended to Prop4, Prop5, … etc. Of course you can enter real word names like “Fat (%)” instead of “Prop1”. It’s recommended to put the measurement unit beside the name.

    Replicates is the number of replicated or repeated spectra of a sample that is grouped together in the Sample based property file. Sample name and the DateFirst / DateLast between the sample spectra are measured.

    Date format is ISO-8601. Missing Dates are 0002-02-02T00:00:00.0000000.

    If the file PropertiesBySamples.csv.txt already exist in the selected folder, the user will be notified (it will not be overwritten, because the file may contain user entered Lab-values). The Lab Reference Concentrations values are initialized to 0 (zero) and needed to be changed.

    Note: 0 is not interpreted as missing value! If you have a 0 concentration value, put in 0 or 0.0 .

    The entry of properties is as easy as possible, because it’s organized by Sample (and not by Spectra), so it’s like your Lab-Value Table that is sample based. The sample rows are sorted in a special way by Sample name. Sorting by Date or alphabetically by Sample can done easily in a spreadsheet program.

    Note: when coping lab values to the samples make sure they correspond, so that there are no gaps and the sorting is the same.

    The Spectra (rows) are initially sorted by name (and date) to have the replicates/repeats together. You can sort for your convenience in a spreadsheet program.

    Enter the Lab Reference Concentrations to the spectra/sample.

    Enter the Lab-Values in spreadsheet (e.g. Excel) or a text editor (e.g. Notepad++). If done, use the next menu Create Calibration Request.

    Hints: Data handling:

    • The NIR-Predictor creates the PropertiesBySamples.csv.txt once, after that the user is responsible for its content. That means NIR-Predictor does not change this file anymore.
    • You can remove entire rows (spectra) in the property file. You don’t need to remove the spectra files. The NIR-Predictor is aware of the relation, the PropertiesBySamples.csv.txt defines what will be calibrated.
    • How to add more spectra files?

      The additional spectra can be handled in a separate folder, create the property file and copy the spectra to the other folder and copy/merge the property files together in your editor or spreadsheet.

      Or

      Copy the spectra into the folder, rename the PropertiesBySamples.csv.txt to e.g. “PropertiesBySamples-Part1.csv.txt” and use Create Properties File to create a new PropertiesBySamples.csv.txt with all the spectra. You can copy/merge the content of the Properties files together in your editor or spreadsheet.

    • What happens with possible duplicate rows? It does no harm to the Calibration because we do an exact checking and data cleaning in the calibration process.
    • What happens to duplicate spectra names? The spectra names are not relevant for the calibration process. The spectra names are helpful to assign the lab-values to the corresponding spectrum entry. That’s why the table is initially sorted by name. The spectra names can be edited by the user.

    Create Calibration Request

    The menu function Create Calibration Request packs a created Properties file (see “Create Properties File”) and it’s linked spectra files in a compressed ZIP file for sending to the CalibrationModel.com Service.

    Please note that the number of measured quantitative samples need to be at least 60 . That means you need at least 60 different spectra (not counting the replicate/repeated measurements).

    It shows additional property information about the data you have entered, like – the property type (Quantitative) – it’s range (min – max) and – the number of unique values and – if the Lab-values are enough diverse to get calibrated.

    First select the folder with the PropertiesBySamples.csv.txt and measured spectra files of samples you have Lab-values. The data is checked and you get notified what is missing or might be wrong. If something needs to be changed, edit the PropertiesBySamples.csv.txt and do Create Calibration Request again. Your last selected folder is remembered, so you can press return in the folder selection dialog.

    Hint: The keyboard shortcuts for redoing it after you edited some entries is : F7 Return – that allows you to get the property information quickly.

    Hint: If you open the PropertiesBySamples.csv.txt in a spreadsheet program, you can create Histogram plots of the entered Lab-values, to see in which range are to less samples measurements.

    When all is fine

    When all is fine the “CalibrationRequest.zip” file is created for that data.

    The ZIP file contains:

    • your PropertiesBySamples.csv.txt
    • your personal REQuest file for your computer system, that looks like
      e.g. “337dcdc06b2d6dfb0b5c4bba578642312edf2ae84d909281624d7e26283e8b07 WIN-GB0PB48GSK4.req”
    • the spectra data files

    Note: If the CalibrationRequest.zip file is already created and you change the PropertiesBySamples.csv.txt make sure to delete the old CalibrationRequest.zip file first! In the dialog it states if it was successfully created or NOT because it already exist. So you are always on the safe side.

    Note: CalibrationRequest.zip file name contains the property names to know what would be calibrated and at the end an identification number for referencing the file. E.g. “CalibrationRequest ‘Prop1’ – ‘Prop2’ h31T3wOH.zip”


    Program Settings

    • The users program settings are stored in UserSettings.json
    • The program counters are stored in GlobalCounters.json

    Further References