Spectroscopy and Chemometrics/Machine-Learning News Weekly #20, 2023

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Spectroscopy and Chemometrics News Weekly 19, 2023 | 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 19, 2023 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 19, 2023 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

Near-Infrared Spectroscopy (NIRS)

“Olfactory Perceptual-Ability Assessment by Near-Infrared Spectroscopy using Vertical-Slice based Fuzzy Reasoning” LINK

“Application of near-infrared spectroscopy and CNN-TCN for the identification of foreign fibers in cotton layers” LINK

“Estimation of moisture, total nitrogen and total organic carbon in tropical livestock manures: Application of near Infrared Spectroscopy on wet and dry samples” LINK

“Rapid Determination of Biochemical Methane Potential of Tropical Organic Waste using Near-Infrared Reflectance Spectroscopy” LINK

“Prediction of chevon quality through near infrared spectroscopy and multivariate analyses” LINK

“Rapid evaluation of Radix Paeoniae Alba and its processed products by near-infrared spectroscopy combined with multivariate algorithms” | LINK

“Rapid Classification of Coffee Origin Using Near-Infrared (Nir) Spectroscopy and (Non) Linear Machine Learning” LINK

“Soil Content Prediction Based on Multi-Band Feature Fusion By Vis-Nir Spectroscopy” LINK

“Combination of near-infrared spectroscopy and key wavelength-based screening algorithm for rapid determination of rice protein content” LINK

“A rapid identification based on FT-NIR spectroscopies and machine learning for drying temperatures of Amomum tsao-ko” LINK

“Toward new tools for biodiversity studies: the use of portable near-infrared spectroscopy combined with machine learning to identify species of Decapoda” LINK

Raman Spectroscopy

“Chemosensors : Analyzing the Electrochemical Interaction of the Angiogenesis Inhibitor Batimastat by Surface-Enhanced Raman Spectroscopy” | LINK

Hyperspectral Imaging (HSI)

“Multi-harmonic spectral phasor analysis of LAURDAN hyperspectral imaging enables the in vivo study of membrane dynamics of multiple membrane-bound …” LINK

Chemometrics and Machine Learning

“Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation by determination of MDA” LINK

“Application of NIR spectroscopy coupled with DD-SIMCA class modelling for the authentication of pork meat” LINK

” Using a global diversity panel of Cannabis sativa L. to develop a near InfraRed-based chemometric application for cannabinoid quantification” LINK

Environment NIR-Spectroscopy Application

“Antioxidants : Antioxidant Activity Enhancement Effect of Silver-Ionized Water: Silver Cation Prepared by Electrolysis” LINK

Agriculture NIR-Spectroscopy Usage

“Liquid MetalEnabled Microspheres with High Drug Loading and Multimodal Imaging for Artery Embolization” LINK

“Agronomy : Summer Maize Growth Estimation Based on Near-Surface Multi-Source Data” LINK

“Remote Sensing : Combination of Continuous Wavelet Transform and Successive Projection Algorithm for the Estimation of Winter Wheat Plant Nitrogen Concentration” LINK

“Polymers : Fourier Transform Infrared Spectroscopy to Assess the Degree of Alteration of Artificially Aged and Environmentally Weathered Microplastics” | LINK

Horticulture NIR-Spectroscopy Applications

“Internal quality assessment of mango fruit: an automated grading system with ensemble classifier” LINK

Food & Feed Industry NIR Usage

“A non-destructive determination of protein content in potato flour noodles using near-infrared hyperspectral imaging technology” | LINK

“Detection and Quantification of Corn Starch and Wheat Flour as Adulterants in Powdered Milk by Near-and Mid-Infrared Spectroscopy Coupled to Chemometric …” LINK

Medicinal Spectroscopy

“Photothermal Lysis of Engineered Bacteria to Modulate Amino Acid Metabolism against Tumors” LINK

Other

“Applied Sciences : Low-Cost Handheld Spectrometry for Detecting Flavescence Dorée in Vineyards” | LINK

“Using the extract of pomegranate peel as a natural indicator for colorimetric detection and simultaneous determination of Fe3+ and Fe2+ by partial least squaresartificial neural network” LINK

“Synthesis and modification of the structural, optical, and thermal properties of PVA-PEO by LDH nanoplates” LINK

“2D Rhenium Dichalcogenides: From Fundamental Properties to Recent Advances in Photodetector Technology” LINK

Spectroscopy and Chemometrics/Machine-Learning News Weekly #13, 2023

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Spectroscopy and Chemometrics News Weekly 12, 2023 | 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 12, 2023 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 12, 2023 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

Time Saving Calibration of near-infrared Spectroscopy NIRS | nir Chemistry LINK

Near-Infrared Spectroscopy (NIRS)

“Artificial Intelligence-based Prediction of In Vitro Dissolution Profile of Immediate Release Tablets with Near-infrared and Raman Spectroscopy” LINK

“Combination of NIR spectroscopy and algorithms for rapid differentiation between one-year and two-year stored rice” LINK

“Gaussian Process Regression for Quantitative Degree of Polymerization Analysis of Oil-paper Insulation by EPO-NIRS: A Solution to Field Moisture” LINK

“Biosensors : NIR Luminescent Oxygen-Sensing Nanoparticles for Continuous Glucose and Lactate Monitoring” | LINK

“Application of Portable Near‐Infrared (NIR) Spectroscopy for Rapid Detection and Quantification of Adulterants in Baobab Fruit Pulp Powder” LINK

“Mesane çıkış obstrüksiyonu bulunan hastalarda non-invaziv yöntem olan? near-ınfrared spectroscopy?(NIRS) uygulaması” LINK

“Quality Evaluation of Fair-Trade Cocoa Beans from Different Origins Using Portable Near-Infrared Spectroscopy (NIRS)” | LINK

“Near-infrared Spectroscopy as Process Analytical Technology in Continuous Solid Dosage Form Manufacturing” LINK

“Non-invasive measurement of shear force in chicken meat using near infrared spectroscopy supported by neural network analysis” LINK

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

“Hydrogen Bonding from Perspective of Overtones and Combination Modes: Near‐Infrared Spectroscopic Study” LINK

Hyperspectral Imaging (HSI)

“Chemical Imaging-Is an Image Always Worth a Thousand Spectra?” LINK

“Raw Beef Patty Analysis Using Near-Infrared Hyperspectral Imaging: Identification of Four Patty Categories” LINK

“Hyperspectral image-based measurement of total flavonoid content of leaf-use Ginkgo biloba L.” LINK

Chemometrics and Machine Learning

“Remote Sensing : Lithium-Bearing Pegmatite Identification, Based on Spectral Analysis and Machine Learning: A Case Study of the Dahongliutan Area, NW China” LINK

“Applied Sciences : Robust Full-Screen Wavelength Calibration Algorithm” LINK

“Authentication/discrimination, identification and quantification of cinnamon adulterants using NIR spectroscopy and different chemometric tools: A tutorial to deal with …” LINK

Equipment for Spectroscopy

“Effect of spectrum measurement position on detection of Klason lignin content of snow pears by a portable NIR spectrometer” LINK

“Present and Future of Miniaturized NIR Spectrometers Combined with Challenging Data Management Strategies” | LINK

“1D-Inception-Resnet for NIR quantitative analysis and its transferability between different spectrometers” | LINK

Environment NIR-Spectroscopy Application

“Sensors : Feasibility of Skin Water Content Imaging Using CMOS Sensors” | LINK

Agriculture NIR-Spectroscopy Usage

“Plants : Soybean Seed Sugars: A Role in the Mechanism of Resistance to Charcoal Rot and Potential Use as Biomarkers in Selection” LINK

“Polymers : Investigating the Synthesis and Characteristics of UV-Cured Bio-Based Epoxy Vegetable Oil-Lignin Composites Mediated by Structure-Directing Agents” LINK

Horticulture NIR-Spectroscopy Applications

“Is this pear sweeter than this apple? A universal SSC model for fruits with similar physicochemical properties” | LINK

Food & Feed Industry NIR Usage

“Foods : Comprehensive Evaluation of Quality Characteristics of Four Oil-Tea Camellia Species with Red Flowers and Large Fruit” | LINK

Pharma Industry NIR Usage

“Bakir oksit/çinko oksit heteroeklem yapilarin elektriksel ve optiksel özelliklerinin incelenmesi” LINK

Laboratory and NIR-Spectroscopy

“Application of Hyper-Spectral Imaging Technique for Colorimetric Analysis of Paintings” LINK

Other

“Detailed optical analysis of Dy3+ and Pr3+ co-doped alumino-borate glasses for visible lighting applications” LINK

“Characterization of Biodegraded Ignitable Liquids by Headspace-Ion Mobility Spectrometry” | LINK

Spectroscopy and Chemometrics/Machine-Learning News Weekly #11, 2023

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Spectroscopy and Chemometrics News Weekly 10, 2023 | 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 10, 2023 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 10, 2023 | 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 Metabolomic Fingerprinting Study of Lichen Thalli and Phycobionts in Culture: Aquaphotomics of Trebouxia lynnae Dehydration” | LINK

“Novel method for the detection of adulterants in coffee and the determination of a coffee’s geographical origin using near infrared spectroscopy complemented by an …” LINK

“Remote Sensing : Comparison of Phenological Parameters Extracted from SIF, NDVI and NIRv Data on the Mongolian Plateau” LINK

“Support vector machine-based rapid detection and quantification of butter yellow adulteration in mustard oil using NIR spectra” | LINK

“Foods : Application of Near-Infrared Spectroscopy and Hyperspectral Imaging Combined with Machine Learning Algorithms for Quality Inspection of Grape: A Review” | LINK

“Forests : Improved Soil Organic Carbon Prediction in a Forest Area by Near-Infrared Spectroscopy: Spiking of a Soil Spectral Library” | LINK

“Foods : Non-Destructive Detection of Meat Quality Based on Multiple Spectral Dimension Reduction Methods by Near-Infrared Spectroscopy” LINK

“Integrated system of an optical cryostat and single-photon detectors for applications in near infrared spectroscopy of quantum emitters” LINK

“The potential of near infrared reflectance spectroscopy (NIRS) for the estimation of quality parameters in tomato paste” | LINK

“Ultrathin TwoDimensional BiOClBi2S3Cu2S Ternary Heterostructures with Enhanced LSPR effect for NIR Photonic Bacterial Disinfection” LINK

“Novel method for the detection of adulterants in coffee and the determination of a coffee’s geographical origin using near infrared spectroscopy complemented by an autoencoder” LINK

“Resolving Near-Infrared Spectra by Generalized Window Factor Analysis for Understanding Interactions in Aqueous Solution” LINK

“Feature Reduction for the Classification of Bruise Damage to Apple Fruit Using a Contactless FT-NIR Spectroscopy with Machine Learning” | LINK

“Early detection of Verticillium wilt of potatoes using near-infrared spectroscopy and machine learning modeling” LINK

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

“Application of portable near‐infrared spectroscopy technology for grade identification of Panax notoginseng slices” LINK

“Detection and discrimination of sedative-hypnotics in spiked beverage dry residues using attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy combined with chemometrics” LINK

“Pendugaan Kandungan Kimia Minyak Goreng Menggunakan Near Infrared Spectroscopy” LINK

“Development of a smart spectral analysis method for the determination of mulberry (Morus alba var. nigra L.) juice quality parameters using FTIR spectroscopy” LINK

“Correlating near infrared data for improved polyolefin recycling” LINK

“Application of portable nearinfrared spectroscopy technology for grade identification of Panax notoginseng slices” LINK

Hyperspectral Imaging (HSI)

“Foods : Visual Monitoring of Fatty Acid Degradation during Green Tea Storage by Hyperspectral Imaging” | LINK

“Foods : Hyperspectral Imaging with Machine Learning Approaches for Assessing Soluble Solids Content of Tribute Citru” | LINK

“Hyperspectral Imaging Coupled with Multivariate Analyses for Efficient Prediction of Chemical, Biological and Physical Properties of Seafood Products” | LINK

Terahertz Spectroscopy

“Terahertz frequency-domain sensing combined with quantitative multivariate analysis for pharmaceutical tablet inspection” LINK

Chemometrics and Machine Learning

“A Rapid Method for Authentication of Macroalgae Based on Vis-NIR Spectroscopy Data Combined with Chemometrics Approach” LINK

“Machine learning-based prediction of total phenolic and flavonoid in horticultural products” | LINK

“A Rapid Method for Authentication of Macroalgae Based on Vis-NIR Spectroscopy Data Combined with Chemometrics Approach” LINK

“Polymers : Characterization and Prediction of Mechanical and Chemical Properties of Luanta Fir Wood with Vacuum Hydrothermal Treatment” LINK

“Develop NonDestructive Models to Predict Oil Content and Fatty Acid Composition in Gomenzer (Ethiopian Mustard) Using NearInfrared Reflectance Spectroscopy” LINK

“Combining portable NIR spectroscopy and multivariate calibration for the determination of ethanol in fermented alcoholic beverages by a multi-product model” LINK

“Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation by Determination of MDA” LINK

“Remote Sensing : Dynamic Maize Yield Predictions Using Machine Learning on Multi-Source Data” LINK

“Chemosensors : Extracting Information and Enhancing the Quality of Separation Data: A Review on Chemometrics-Assisted Analysis of Volatile, Soluble and Colloidal Samples” | LINK

“Improved Principal Component Analysis (IPCA): A Novel Method for Quantitative Calibration Transfer between Different Near-Infrared Spectrometers” | LINK

Research on Spectroscopy

“Polymers : Studying the Physical and Chemical Properties of Polydimethylsiloxane Matrix Reinforced by Nanostructured TiO2 Supported on Mesoporous Silica” | LINK

Process Control and NIR Sensors

“Aquaphotomics Monitoring of Lettuce Freshness during Cold Storage” | LINK

“Foods : Aquaphotomics Monitoring of Lettuce Freshness during Cold Storage” | LINK

Environment NIR-Spectroscopy Application

“Remote Sensing : The Impact of the Type and Spatial Resolution of a Source Image on the Effectiveness of Texture Analysis” LINK

“Remote Sensing : Quantifying Temperate Forest Diversity by Integrating GEDI LiDAR and Multi-Temporal Sentinel-2 Imagery” LINK

“Sensors : Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy” | LINK

“Remote Sensing : Informativeness of the Long-Term Average Spectral Characteristics of the Bare Soil Surface for the Detection of Soil Cover Degradation with the Neural Network Filtering of Remote Sensing Data” LINK

Agriculture NIR-Spectroscopy Usage

“Nondestructive discrimination of analogous density foreign matter inside soy protein meat semi-finished products based on transmission hyperspectral imaging” LINK

“Agronomy : Effect of Ustilago maydis on the Nutritive Value and Aerobic Deterioration of Maize Silage” | LINK

“Rootstock’s and Cover-Crops’ Influence on Grape: A NIR-Based ANN Classification Model” | LINK

“Rapid and nondestructive method for identification of molds growth time in wheat grains based on hyperspectral imaging technology and chemometrics” LINK

“Plants : Spectral Discrimination of Macronutrient Deficiencies in Greenhouse Grown Flue-Cured Tobacco” LINK

“Microplastics Have Rice Cultivar-dependent Impacts on Grain Yield and Quality, and Nitrogenous Gas Losses From Paddy, but Not on Soil Properties” | LINK

“Qualitative and quantitative analysis of the pile fermentation degree of Pu-erh tea” LINK

“Rootstock’s and Cover-Crops’ Influence on Grape: A NIR-Based ANN Classification Model” LINK

“Sextonia rubra (Mez.) van der Werff sawmills residues as a valuable resource for the production of larvicidal extracts against Ae. aegypti Linnaeus (Diptera: Culicidae)” | LINK

“Printing CrackFree Microporous Structures by Combining Additive Manufacturing with Colloidal Assembly” LINK

“Mitigating nitrate leaching in cropland by enhancing microbial nitrate transformation through the addition of liquid biogas slurry” | LINK

“LightGuided Dynamic Liquid Crystalline Elastomer Actuators enabled by Mussel Adhesive Protein Chemistry” LINK

“INFLUENCE OF INSECTICIDES FOR STORED GRAIN PROTECTION ON THE TECHNOLOGICAL PROPERTIES OF WINTER WHEAT” LINK

“Classification of Heavy Metal Contamination Risk in Typical Agricultural Soils by Visible and Near Infrared Reflectance Spectroscopy” LINK

Food & Feed Industry NIR Usage

“Foods : Non-Destructive Discrimination of Sunflower Seeds with Different Internal Mildew Grades by Fusion of Near-Infrared Diffuse Reflectance and Transmittance Spectra Combined with 1D-CNN” | LINK

“Foods : Micronization Effects on Structural, Functional, and Antioxidant Properties of Wheat Bran” | LINK

Beverage and Drink Industry NIR Usage

“Non-Invasive Digital Technologies to Assess Wine Quality Traits and Provenance through the Bottle” | LINK

Other

“Portable Diffuse Reflectance Spectroscopy of Potato Leaves for Pre-Symptomatic Detection of Late Blight Disease” LINK

“A novel wavelength interval selection based on split regularized regression for spectroscopic data” | LINK

“大腿動静脈送脱血時の遠位側灌流において 工夫を要した症例” LINK

“Results in Chemistry” LINK

“Decoupling Individual Optical Nanosensor Responses Using a Spin-Coated Hydrogel Platform” LINK

“Internal reflectance cell fluorescence measurement combined with multi-way analysis to detect fluorescence signatures of undiluted honeys and a fusion of …” LINK

“Effects of motor pacing on frontalhemodynamic responses during continuous upperlimb and wholebody movements” LINK

Spectroscopy and Chemometrics News Weekly #3, 2021Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #3, 2021Spettroscopia e Chemiometria Weekly News #3, 2021

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Spectroscopy and Chemometrics News Weekly 2, 2021 | 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 2, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 2, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"On the discrimination of soil samplesby derivative diffuse reflectance UV-Vis-NIR spectroscopy and Chemometric methods" LINK

"Quantitative Analysis of Organic Acids in Pomelo Fruit using FT-NIR Spectroscopy Coupled with Network Kernel PLS Regression" LINK

"Determination of foliar nitrogen in oil palm with spectroscopy in the middle infrared (MIR) and near infrared (NIR) by the method of regression of partial least squares of ..." LINK

"Low-cost handheld NIR spectroscopy for identification of organic solvents and low-level quantification of water contamination." LINK

"Prediction of Andrographolide Content in Andrographis paniculata Using NIR Spectroscopy" LINK

"Non-Destructive Prediction of Moisture Content of Philippine Coffea arabica and Coffea liberica Green Beans Using Locally-Developed NIR Spectroscopy Instrument" LINK

"Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy" LINK

"Detection of Flavor Adulterated Pu''er Tea by Near-Infrared Spectroscopy" LINK




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

"Near infrared spectroscopy model for analyzing chemical composition of biomass subjected to Fenton oxidation and hydrothermal treatment" LINK

"Texture evaluation of cooked parboiled rice using nondestructive milled whole grain near infrared spectroscopy" LINK

"Hyperspectral measurement of skin reflectance detects differences in the visible and nearinfrared regions according to race, gender, and body site." LINK

"Effects of polymer molecular weight on curcumin amorphous solid dispersion; at-line monitoring system based on attenuated total reflectance mid-infrared and near-infrared spectroscopy" LINK

"Near-infrared hyperspectral imaging for monitoring the thickness distribution of thin poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) layers." LINK

"Improved prediction of potassium and nitrogen in dried bell pepper leaves with visible and near-infrared spectroscopy utilising wavelength selection techniques" LINK

"Identification of Aspergillus species in human blood plasma by infrared spectroscopy and machine learning" LINK

"PLS-DA and Infrared Spectroscopy based rapid and non-destructive discrimination of black ball and gel pen inks for forensic application" forensic LINK

" Analysis of Glycated Hemoglobin by Near-Infrared Spectroscopy" LINK




Hyperspectral Imaging (HSI)

"Spectral feature selection from hyperspectral dataset to identify pistachio leaves infected by Psylla" LINK




Chemometrics and Machine Learning

"Classification of Megathyrsus maximus Accessions Grown in The Colombian Dry Tropical Forest by Nutritional Assessment during contrasting seasons" LINK

"A global calibration model for prediction of intramuscular fat and pH in red meat using hyperspectral imaging" LINK

"Application of near-infrared spectroscopy and chemometrics for the rapid quality assessment of Sargassum fusiforme" LINK

"Comparison of Soil Total Nitrogen Content Prediction Models Based on Vis-NIR Spectroscopy" LINK

"An efficient tea quality classification algorithm based on near infrared spectroscopy and random Forest" LINK

"NIR spectroscopy fruit quality detection algorithm based on the least angle regression model" LINK




Process Control and NIR Sensors

"Free radical detection in water after processing by means of high voltage electrical discharges and high power ultrasound" LINK




Environment NIR-Spectroscopy Application

"Image and Point Data Fusion for Enhanced Discrimination of Ore and Waste in Mining" Minerals LINK




Agriculture NIR-Spectroscopy Usage

"Design of storage time identification system of lettuce based on Adaboost" LINK




Horticulture NIR-Spectroscopy Applications

"Determination of pectin in peach fruit by Fourier transform near infrared spectroscopy." LINK




Food & Feed Industry NIR Usage

"Lipid and Protein Oxidation Marker Compounds in Horse Meat Determined by MIR Spectroscopy" LINK




Beverage and Drink Industry NIR Usage

"Physical and Chemical Effects of Different Working Gases in Coffee Brewing: A Case Study of Caffè Firenze" LINK

"Simultaneous Determination of Caffeine and Taurine in Energy Drinks by FT-MIR Spectroscopy Coupled with Multivariate Analysis" LINK




Laboratory and NIR-Spectroscopy

"Accurate confidence intervals for inter-laboratory calibration and common mean estimation" LINK




Other

"Alteration in the Amount of Glomalin in Transition from Forest to Field/Meadow" LINK





NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 2, 2021 | 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 2, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 2, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"On the discrimination of soil samplesby derivative diffuse reflectance UV-Vis-NIR spectroscopy and Chemometric methods" LINK

"Quantitative Analysis of Organic Acids in Pomelo Fruit using FT-NIR Spectroscopy Coupled with Network Kernel PLS Regression" LINK

"Determination of foliar nitrogen in oil palm with spectroscopy in the middle infrared (MIR) and near infrared (NIR) by the method of regression of partial least squares of ..." LINK

"Low-cost handheld NIR spectroscopy for identification of organic solvents and low-level quantification of water contamination." LINK

"Prediction of Andrographolide Content in Andrographis paniculata Using NIR Spectroscopy" LINK

"Non-Destructive Prediction of Moisture Content of Philippine Coffea arabica and Coffea liberica Green Beans Using Locally-Developed NIR Spectroscopy Instrument" LINK

"Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy" LINK

"Detection of Flavor Adulterated Pu''er Tea by Near-Infrared Spectroscopy" LINK




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

"Near infrared spectroscopy model for analyzing chemical composition of biomass subjected to Fenton oxidation and hydrothermal treatment" LINK

"Texture evaluation of cooked parboiled rice using nondestructive milled whole grain near infrared spectroscopy" LINK

"Hyperspectral measurement of skin reflectance detects differences in the visible and nearinfrared regions according to race, gender, and body site." LINK

"Effects of polymer molecular weight on curcumin amorphous solid dispersion; at-line monitoring system based on attenuated total reflectance mid-infrared and near-infrared spectroscopy" LINK

"Near-infrared hyperspectral imaging for monitoring the thickness distribution of thin poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) layers." LINK

"Improved prediction of potassium and nitrogen in dried bell pepper leaves with visible and near-infrared spectroscopy utilising wavelength selection techniques" LINK

"Identification of Aspergillus species in human blood plasma by infrared spectroscopy and machine learning" LINK

"PLS-DA and Infrared Spectroscopy based rapid and non-destructive discrimination of black ball and gel pen inks for forensic application" forensic LINK

" Analysis of Glycated Hemoglobin by Near-Infrared Spectroscopy" LINK




Hyperspectral Imaging (HSI)

"Spectral feature selection from hyperspectral dataset to identify pistachio leaves infected by Psylla" LINK




Chemometrics and Machine Learning

"Classification of Megathyrsus maximus Accessions Grown in The Colombian Dry Tropical Forest by Nutritional Assessment during contrasting seasons" LINK

"A global calibration model for prediction of intramuscular fat and pH in red meat using hyperspectral imaging" LINK

"Application of near-infrared spectroscopy and chemometrics for the rapid quality assessment of Sargassum fusiforme" LINK

"Comparison of Soil Total Nitrogen Content Prediction Models Based on Vis-NIR Spectroscopy" LINK

"An efficient tea quality classification algorithm based on near infrared spectroscopy and random Forest" LINK

"NIR spectroscopy fruit quality detection algorithm based on the least angle regression model" LINK




Process Control and NIR Sensors

"Free radical detection in water after processing by means of high voltage electrical discharges and high power ultrasound" LINK




Environment NIR-Spectroscopy Application

"Image and Point Data Fusion for Enhanced Discrimination of Ore and Waste in Mining" Minerals LINK




Agriculture NIR-Spectroscopy Usage

"Design of storage time identification system of lettuce based on Adaboost" LINK




Horticulture NIR-Spectroscopy Applications

"Determination of pectin in peach fruit by Fourier transform near infrared spectroscopy." LINK




Food & Feed Industry NIR Usage

"Lipid and Protein Oxidation Marker Compounds in Horse Meat Determined by MIR Spectroscopy" LINK




Beverage and Drink Industry NIR Usage

"Physical and Chemical Effects of Different Working Gases in Coffee Brewing: A Case Study of Caffè Firenze" LINK

"Simultaneous Determination of Caffeine and Taurine in Energy Drinks by FT-MIR Spectroscopy Coupled with Multivariate Analysis" LINK




Laboratory and NIR-Spectroscopy

"Accurate confidence intervals for inter-laboratory calibration and common mean estimation" LINK




Other

"Alteration in the Amount of Glomalin in Transition from Forest to Field/Meadow" LINK





NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 2, 2021 | 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 2, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 2, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"On the discrimination of soil samplesby derivative diffuse reflectance UV-Vis-NIR spectroscopy and Chemometric methods" LINK

"Quantitative Analysis of Organic Acids in Pomelo Fruit using FT-NIR Spectroscopy Coupled with Network Kernel PLS Regression" LINK

"Determination of foliar nitrogen in oil palm with spectroscopy in the middle infrared (MIR) and near infrared (NIR) by the method of regression of partial least squares of ..." LINK

"Low-cost handheld NIR spectroscopy for identification of organic solvents and low-level quantification of water contamination." LINK

"Prediction of Andrographolide Content in Andrographis paniculata Using NIR Spectroscopy" LINK

"Non-Destructive Prediction of Moisture Content of Philippine Coffea arabica and Coffea liberica Green Beans Using Locally-Developed NIR Spectroscopy Instrument" LINK

"Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy" LINK

"Detection of Flavor Adulterated Pu''er Tea by Near-Infrared Spectroscopy" LINK




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

"Near infrared spectroscopy model for analyzing chemical composition of biomass subjected to Fenton oxidation and hydrothermal treatment" LINK

"Texture evaluation of cooked parboiled rice using nondestructive milled whole grain near infrared spectroscopy" LINK

"Hyperspectral measurement of skin reflectance detects differences in the visible and nearinfrared regions according to race, gender, and body site." LINK

"Effects of polymer molecular weight on curcumin amorphous solid dispersion; at-line monitoring system based on attenuated total reflectance mid-infrared and near-infrared spectroscopy" LINK

"Near-infrared hyperspectral imaging for monitoring the thickness distribution of thin poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) layers." LINK

"Improved prediction of potassium and nitrogen in dried bell pepper leaves with visible and near-infrared spectroscopy utilising wavelength selection techniques" LINK

"Identification of Aspergillus species in human blood plasma by infrared spectroscopy and machine learning" LINK

"PLS-DA and Infrared Spectroscopy based rapid and non-destructive discrimination of black ball and gel pen inks for forensic application" forensic LINK

" Analysis of Glycated Hemoglobin by Near-Infrared Spectroscopy" LINK




Hyperspectral Imaging (HSI)

"Spectral feature selection from hyperspectral dataset to identify pistachio leaves infected by Psylla" LINK




Chemometrics and Machine Learning

"Classification of Megathyrsus maximus Accessions Grown in The Colombian Dry Tropical Forest by Nutritional Assessment during contrasting seasons" LINK

"A global calibration model for prediction of intramuscular fat and pH in red meat using hyperspectral imaging" LINK

"Application of near-infrared spectroscopy and chemometrics for the rapid quality assessment of Sargassum fusiforme" LINK

"Comparison of Soil Total Nitrogen Content Prediction Models Based on Vis-NIR Spectroscopy" LINK

"An efficient tea quality classification algorithm based on near infrared spectroscopy and random Forest" LINK

"NIR spectroscopy fruit quality detection algorithm based on the least angle regression model" LINK




Process Control and NIR Sensors

"Free radical detection in water after processing by means of high voltage electrical discharges and high power ultrasound" LINK




Environment NIR-Spectroscopy Application

"Image and Point Data Fusion for Enhanced Discrimination of Ore and Waste in Mining" Minerals LINK




Agriculture NIR-Spectroscopy Usage

"Design of storage time identification system of lettuce based on Adaboost" LINK




Horticulture NIR-Spectroscopy Applications

"Determination of pectin in peach fruit by Fourier transform near infrared spectroscopy." LINK




Food & Feed Industry NIR Usage

"Lipid and Protein Oxidation Marker Compounds in Horse Meat Determined by MIR Spectroscopy" LINK




Beverage and Drink Industry NIR Usage

"Physical and Chemical Effects of Different Working Gases in Coffee Brewing: A Case Study of Caffè Firenze" LINK

"Simultaneous Determination of Caffeine and Taurine in Energy Drinks by FT-MIR Spectroscopy Coupled with Multivariate Analysis" LINK




Laboratory and NIR-Spectroscopy

"Accurate confidence intervals for inter-laboratory calibration and common mean estimation" LINK




Other

"Alteration in the Amount of Glomalin in Transition from Forest to Field/Meadow" 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

Spectroscopy and Chemometrics News Weekly #26, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #26, 2020Spettroscopia e Chemiometria Weekly News #26, 2020

NIR Calibration-Model Services

Get the new Free NIR-Predictor V2.6 software - Reads and predicts *.spc spectra file format (Thermo-Scientific / Galactic GRAMS) - Spectra Plots on the Prediction Reports NIRS NIR Spectroscopy Spectrometer QualityControl Laboratory Food Analysis LINK

Pro Tip: The NIR calibration is the central key to accurate NIR measurement | NIRS LINK

Spectroscopy and Chemometrics News Weekly 25, 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 25, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 25, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"Study on Detection Methods for Frying Times of Soybean Oil Based on NIRS" LINK

"Non-destructive Detection the Content of Acid Detergent Fiber in Corn Stalk Using NIRS" LINK

"Differentiation of South African Game Meat Using Near-Infrared (NIR) Spectroscopy and Hierarchical Modelling" LINK

"Changes in chemical components with NIR spectroscopy and durability of samama wood treated with boron, methyl methacrylate and heat treatment" LINK

"NIR spectroscopy application for determination caffeine content of Arabica green bean coffee" LINK

"Principle Component Analysis (PCA)-Classification of Arabica green bean coffee of North Sumatera Using FT–NIRS" LINK

"Prediction of water content in Lintong green bean coffee using FT-NIRS and PLS method" LINK




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

"Detection of aflatoxin B1 on corn kernel surfaces using visible-near infrared spectroscopy" LINK

"Soil NPK Levels Characterization Using Near Infrared and Artificial Neural Network" LINK

"Rapid and Non-destructive Detecting Frying Times of Peanut Oil Based on Near Infrared Reflectance Spectroscopy" LINK

"Biosensors, Vol. 10, Pages 41: Rapid Nondestructive Detection of Water Content and Granulation in Postharvest Shatian Pomelo Using Visible/Near-Infrared Spectroscopy" LINK

" Estimation of moisture in wood chips by Near Infrared Spectroscopy" LINK

"Nondestructive determination of lignin content in Korla fragrant pear based on near-infrared spectroscopy" LINK

"Near-infrared spectroscopy of the placenta for monitoring fetal oxygenation during labour." LINK

"Confirmation of brand identification in infant formulas by near-infrared spectroscopy fingerprints" LINK

"Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds" LINK

"Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)." phenotyping LINK

"Estimating δ15N and δ13C in Barley and Pea Mixtures Using Near-Infrared Spectroscopy with Genetic Algorithm Based Partial Least Squares Regression" LINK




Raman Spectroscopy

"Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition" LINK




Hyperspectral Imaging (HSI)

"Germination Prediction of Sugar Beet Seeds Based on HSI and SVM-RBF" LINK

"Diagnosis of Late Blight of Potato Leaves Based on Deep Learning Hyperspectral Images" LINK

"Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging." LINK

"Applied Sciences, Vol. 10, Pages 2259: Hyperspectral Inversion Model of Chlorophyll Content in Peanut Leaves" LINK




Chemometrics and Machine Learning

"Spectroscopic techniques combined with chemometrics for fast on-site characterization of suspected illegal antimicrobials" LINK

"Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands" LINK




Research on Spectroscopy

"Lanthanide complexes with N-(2, 6-dimethylphenyl) oxamate: Synthesis, characterisation and cytotoxicity" LINK




Equipment for Spectroscopy

"Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts" LINK




Agriculture NIR-Spectroscopy Usage

"Rapid Measurement of Soybean Seed Viability Using Kernel-Based Multispectral Image Analysis" LINK

"Remote Sensing, Vol. 12, Pages 1256: Crop Separability from Individual and Combined Airborne Imaging Spectroscopy and UAV Multispectral Data" LINK

"Portable IoT NIR Spectrometer for Detecting Undesirable Substances in Forages of Dairy Farms" LINK




Food & Feed Industry NIR Usage

"Prediction of infertile chicken eggs before hatching by the Naïve-Bayes method combined with visible near infrared transmission spectroscopy" LINK

"Statistical Analysis of Protein Content in Wheat Germplasm Based on Near-infrared Reflectance Spectroscopy" LINK




Other

"On-Site Identification of the Material Composition of PV Modules with Mobile Spectroscopic Devices" LINK





.

NIR-Kalibrierungs-Modell-Dienstleistungen

Get the new Free NIR-Predictor V2.6 software - Reads and predicts *.spc spectra file format (Thermo-Scientific / Galactic GRAMS) - Spectra Plots on the Prediction Reports NIRS NIR Spectroscopy Spectrometer QualityControl Laboratory Food Analysis LINK

Pro Tip: The NIR calibration is the central key to accurate NIR measurement | NIRS LINK

Spectroscopy and Chemometrics News Weekly 25, 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 25, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 25, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Nah-Infrarot-Spektroskopie (NIRS)

"Study on Detection Methods for Frying Times of Soybean Oil Based on NIRS" LINK

"Non-destructive Detection the Content of Acid Detergent Fiber in Corn Stalk Using NIRS" LINK

"Differentiation of South African Game Meat Using Near-Infrared (NIR) Spectroscopy and Hierarchical Modelling" LINK

"Changes in chemical components with NIR spectroscopy and durability of samama wood treated with boron, methyl methacrylate and heat treatment" LINK

"NIR spectroscopy application for determination caffeine content of Arabica green bean coffee" LINK

"Principle Component Analysis (PCA)-Classification of Arabica green bean coffee of North Sumatera Using FT–NIRS" LINK

"Prediction of water content in Lintong green bean coffee using FT-NIRS and PLS method" LINK




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

"Detection of aflatoxin B1 on corn kernel surfaces using visible-near infrared spectroscopy" LINK

"Soil NPK Levels Characterization Using Near Infrared and Artificial Neural Network" LINK

"Rapid and Non-destructive Detecting Frying Times of Peanut Oil Based on Near Infrared Reflectance Spectroscopy" LINK

"Biosensors, Vol. 10, Pages 41: Rapid Nondestructive Detection of Water Content and Granulation in Postharvest Shatian Pomelo Using Visible/Near-Infrared Spectroscopy" LINK

" Estimation of moisture in wood chips by Near Infrared Spectroscopy" LINK

"Nondestructive determination of lignin content in Korla fragrant pear based on near-infrared spectroscopy" LINK

"Near-infrared spectroscopy of the placenta for monitoring fetal oxygenation during labour." LINK

"Confirmation of brand identification in infant formulas by near-infrared spectroscopy fingerprints" LINK

"Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds" LINK

"Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)." phenotyping LINK

"Estimating δ15N and δ13C in Barley and Pea Mixtures Using Near-Infrared Spectroscopy with Genetic Algorithm Based Partial Least Squares Regression" LINK




Raman Spectroscopy

"Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition" LINK




Hyperspektrale Bildgebung (HSI)

"Germination Prediction of Sugar Beet Seeds Based on HSI and SVM-RBF" LINK

"Diagnosis of Late Blight of Potato Leaves Based on Deep Learning Hyperspectral Images" LINK

"Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging." LINK

"Applied Sciences, Vol. 10, Pages 2259: Hyperspectral Inversion Model of Chlorophyll Content in Peanut Leaves" LINK




Chemometrie und Maschinelles Lernen

"Spectroscopic techniques combined with chemometrics for fast on-site characterization of suspected illegal antimicrobials" LINK

"Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands" LINK




Forschung zur Spektroskopie

"Lanthanide complexes with N-(2, 6-dimethylphenyl) oxamate: Synthesis, characterisation and cytotoxicity" LINK




Ausrüstung für Spektroskopie

"Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts" LINK




Landwirtschaft NIR-Spektroskopie

"Rapid Measurement of Soybean Seed Viability Using Kernel-Based Multispectral Image Analysis" LINK

"Remote Sensing, Vol. 12, Pages 1256: Crop Separability from Individual and Combined Airborne Imaging Spectroscopy and UAV Multispectral Data" LINK

"Portable IoT NIR Spectrometer for Detecting Undesirable Substances in Forages of Dairy Farms" LINK




Lebens- und Futtermittelindustrie NIR-Verwendung

"Prediction of infertile chicken eggs before hatching by the Naïve-Bayes method combined with visible near infrared transmission spectroscopy" LINK

"Statistical Analysis of Protein Content in Wheat Germplasm Based on Near-infrared Reflectance Spectroscopy" LINK




Andere

"On-Site Identification of the Material Composition of PV Modules with Mobile Spectroscopic Devices" LINK





.

NIR Calibration-Model Services

Get the new Free NIR-Predictor V2.6 software - Reads and predicts *.spc spectra file format (Thermo-Scientific / Galactic GRAMS) - Spectra Plots on the Prediction Reports NIRS NIR Spectroscopy Spectrometer QualityControl Laboratory Food Analysis LINK

Pro Tip: The NIR calibration is the central key to accurate NIR measurement | NIRS LINK

Spectroscopy and Chemometrics News Weekly 25, 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 25, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 25, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"Study on Detection Methods for Frying Times of Soybean Oil Based on NIRS" LINK

"Non-destructive Detection the Content of Acid Detergent Fiber in Corn Stalk Using NIRS" LINK

"Differentiation of South African Game Meat Using Near-Infrared (NIR) Spectroscopy and Hierarchical Modelling" LINK

"Changes in chemical components with NIR spectroscopy and durability of samama wood treated with boron, methyl methacrylate and heat treatment" LINK

"NIR spectroscopy application for determination caffeine content of Arabica green bean coffee" LINK

"Principle Component Analysis (PCA)-Classification of Arabica green bean coffee of North Sumatera Using FT–NIRS" LINK

"Prediction of water content in Lintong green bean coffee using FT-NIRS and PLS method" LINK




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

"Detection of aflatoxin B1 on corn kernel surfaces using visible-near infrared spectroscopy" LINK

"Soil NPK Levels Characterization Using Near Infrared and Artificial Neural Network" LINK

"Rapid and Non-destructive Detecting Frying Times of Peanut Oil Based on Near Infrared Reflectance Spectroscopy" LINK

"Biosensors, Vol. 10, Pages 41: Rapid Nondestructive Detection of Water Content and Granulation in Postharvest Shatian Pomelo Using Visible/Near-Infrared Spectroscopy" LINK

" Estimation of moisture in wood chips by Near Infrared Spectroscopy" LINK

"Nondestructive determination of lignin content in Korla fragrant pear based on near-infrared spectroscopy" LINK

"Near-infrared spectroscopy of the placenta for monitoring fetal oxygenation during labour." LINK

"Confirmation of brand identification in infant formulas by near-infrared spectroscopy fingerprints" LINK

"Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds" LINK

"Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)." phenotyping LINK

"Estimating δ15N and δ13C in Barley and Pea Mixtures Using Near-Infrared Spectroscopy with Genetic Algorithm Based Partial Least Squares Regression" LINK




Raman Spectroscopy

"Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition" LINK




Hyperspectral Imaging (HSI)

"Germination Prediction of Sugar Beet Seeds Based on HSI and SVM-RBF" LINK

"Diagnosis of Late Blight of Potato Leaves Based on Deep Learning Hyperspectral Images" LINK

"Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging." LINK

"Applied Sciences, Vol. 10, Pages 2259: Hyperspectral Inversion Model of Chlorophyll Content in Peanut Leaves" LINK




Chemometrics and Machine Learning

"Spectroscopic techniques combined with chemometrics for fast on-site characterization of suspected illegal antimicrobials" LINK

"Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands" LINK




Research on Spectroscopy

"Lanthanide complexes with N-(2, 6-dimethylphenyl) oxamate: Synthesis, characterisation and cytotoxicity" LINK




Equipment for Spectroscopy

"Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts" LINK




Agriculture NIR-Spectroscopy Usage

"Rapid Measurement of Soybean Seed Viability Using Kernel-Based Multispectral Image Analysis" LINK

"Remote Sensing, Vol. 12, Pages 1256: Crop Separability from Individual and Combined Airborne Imaging Spectroscopy and UAV Multispectral Data" LINK

"Portable IoT NIR Spectrometer for Detecting Undesirable Substances in Forages of Dairy Farms" LINK




Food & Feed Industry NIR Usage

"Prediction of infertile chicken eggs before hatching by the Naïve-Bayes method combined with visible near infrared transmission spectroscopy" LINK

"Statistical Analysis of Protein Content in Wheat Germplasm Based on Near-infrared Reflectance Spectroscopy" LINK




Other

"On-Site Identification of the Material Composition of PV Modules with Mobile Spectroscopic Devices" LINK





.

Spectroscopy and Chemometrics News Weekly #19, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #19, 2020Spettroscopia e Chemiometria Weekly News #19, 2020

NIR Calibration-Model Services

"Simultaneously multi quantitative value determination from a bunch of NIR spectra by drag and drop of multiple spectral files." | NIRS Spectroscopy - Image is Preview of V2.6 LINK

Calibration Model's free NIR-Predictor V2.5 Software Update is available today | Download here | NIRS NIR Spectroscopy Sensor Application Chemometric Prediction Report QualityControl Lab Laboratory Analysis Production LINK

Spectroscopy and Chemometrics News Weekly 18, 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 18, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 18, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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




Near-Infrared Spectroscopy (NIRS)

"Estimation of Harumanis (Mangifera indica L.) Sweetness using Near-Infrared (NIR) Spectroscopy" LINK

"Near-Infrared (NIR) Spectroscopy to Differentiate Longissimus thoracis et lumborum (LTL) Muscles of Game Species" LINK

"Fault detection with moving window PCA using NIRS spectra for the monitoring of anaerobic digestion process" LINK

"New applications of visnir spectroscopy for the prediction of soil properties" LINK

"Simultaneous determination of quality parameters in yerba mate (Ilex paraguariensis) samples by application of near-infrared (NIR) spectroscopy and partial least …" LINK

"Control of ascorbic acid in fortified powdered soft drinks using near-infrared spectroscopy (NIRS) and multivariate analysis." LINK




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

"Determination of nutritional parameters of bee pollen by Raman and infrared spectroscopy." LINK

"Rapid quantitative detection of mineral oil contamination in vegetable oil by near-infrared spectroscopy" LINK

"Scientists demonstrate the ability of infrared ion spectroscopy to identify and distinguish the molecular structure of three isomers of fluoroamphetamine and two ring-isomers of both MDA and MDMA." LINK

"Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds" LINK

"Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)." phenotyping LINK

"Investigating the Quality of Antimalarial Generic Medicines Using Portable Near-Infrared Spectroscopy" LINK

"THE DETERMINATION OF FATTY ACIDS IN CHEESES OF VARIABLE COMPOSITION (COW, EWE'S, AND GOAT) BY MEANS OF NEAR INFRARED SPECTROSCOPY" LINK

"Modeling bending strength of oil-heat-treated wood by near-infrared spectroscopy" LINK

"Non-Invasive Blood Glucose Monitoring using Near-Infrared Spectroscopy based on Internet of Things using Machine Learning" LINK

"Protein, weight, and oil prediction by singleseed nearinfrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)" LINK

"Estimating δ15N and δ13C in Barley and Pea Mixtures Using Near-Infrared Spectroscopy with Genetic Algorithm Based Partial Least Squares Regression" LINK

"ripening stages monitoring of Lamuyo pepper using a new‐generation near‐infrared spectroscopy sensor" LINK

"Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interface Using Regularized Linear Discriminant Analysis Ensemble Classifier Based on Bootstrap Aggregating." LINK

"Continuously measurement of the dry matter content using near-infrared spectroscopy" LINK

"Rapid identification of Lilium species and polysaccharide contents based on near infrared spectroscopy and weighted partial least square method." LINK

"A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy." LINK




Raman Spectroscopy

"Quantitative models for detecting the presence of lead in turmeric using Raman spectroscopy" LINK

"Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition" LINK




Hyperspectral Imaging (HSI)

"Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging." LINK

"Diagnosis of Late Blight of Potato Leaves Based on Deep Learning Hyperspectral Images" LINK

"Applied Sciences, Vol. 10, Pages 2259: Hyperspectral Inversion Model of Chlorophyll Content in Peanut Leaves" LINK

"Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging" LINK

"Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms" LINK

"A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves" LINK

"Deep learning applied to hyperspectral endoscopy for online spectral classification" DOI:10.1038/s41598-020-60574-6 LINK

"Detection of fish fillet substitution and mislabeling using multimode hyperspectral imaging techniques" LINK




Chemometrics and Machine Learning

"Incorporation of two-dimensional correlation analysis into discriminant analysis as a potential tool for improving discrimination accuracy: Near-infrared spectroscopic discrimination of adulterated olive oils." LINK

"Building kinetic models for apple crispness to determine the optimal freshness preservation time during shelf life based on spectroscopy" LINK

"Molecules, Vol. 25, Pages 1453: Characterization, Quantification and Quality Assessment of Avocado (Persea americana Mill.) Oils" LINK

"Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands" LINK




Research on Spectroscopy

"Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel" LINK

"Plenary Lecture Methods and Tools for Sensors Information Processing" LINK




Equipment for Spectroscopy

"Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts" LINK

"Determination of soluble solids content in Prunus avium by Vis/NIR equipment using linear and non-linear regression methods" LINK

"Characterization of Deep Green Infection in Tobacco Leaves Using a Hand-Held Digital Light Projection Based Near-Infrared Spectrometer and an Extreme Learning …" LINK




Agriculture NIR-Spectroscopy Usage

"Portable IoT NIR Spectrometer for Detecting Undesirable Substances in Forages of Dairy Farms" LINK

"Hyperspectral imaging using multivariate analysis for simulation and prediction of agricultural crops in Ningxia, China" LINK

"Robustness of visible/near and midinfrared spectroscopic models to changes in the quantity and quality of crop residues in soil" LINK




Horticulture NIR-Spectroscopy Applications

" The Effect of Spent Mushroom Substrate and Cow Slurry on Sugar Content and Digestibility of Alfalfa Grass Mixtures" LINK




Food & Feed Industry NIR Usage

"Quantification of Ash and Moisture in Wheat Flour by Raman Spectroscopy" LINK




Laboratory and NIR-Spectroscopy

"The influence analysis of reflectance anisotropy of canopy on the prediction accuracy of Cu stress based on laboratory multi-directional measurement" LINK





.

NIR Calibration-Model Services

"Simultaneously multi quantitative value determination from a bunch of NIR spectra by drag and drop of multiple spectral files." | NIRS Spectroscopy - Image is Preview of V2.6 LINK

Calibration Model's free NIR-Predictor V2.5 Software Update is available today | Download here | NIRS NIR Spectroscopy Sensor Application Chemometric Prediction Report QualityControl Lab Laboratory Analysis Production LINK

Spectroscopy and Chemometrics News Weekly 18, 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 18, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 18, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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




Near-Infrared Spectroscopy (NIRS)

"Estimation of Harumanis (Mangifera indica L.) Sweetness using Near-Infrared (NIR) Spectroscopy" LINK

"Near-Infrared (NIR) Spectroscopy to Differentiate Longissimus thoracis et lumborum (LTL) Muscles of Game Species" LINK

"Fault detection with moving window PCA using NIRS spectra for the monitoring of anaerobic digestion process" LINK

"New applications of visnir spectroscopy for the prediction of soil properties" LINK

"Simultaneous determination of quality parameters in yerba mate (Ilex paraguariensis) samples by application of near-infrared (NIR) spectroscopy and partial least …" LINK

"Control of ascorbic acid in fortified powdered soft drinks using near-infrared spectroscopy (NIRS) and multivariate analysis." LINK




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

"Determination of nutritional parameters of bee pollen by Raman and infrared spectroscopy." LINK

"Rapid quantitative detection of mineral oil contamination in vegetable oil by near-infrared spectroscopy" LINK

"Scientists demonstrate the ability of infrared ion spectroscopy to identify and distinguish the molecular structure of three isomers of fluoroamphetamine and two ring-isomers of both MDA and MDMA." LINK

"Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds" LINK

"Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)." phenotyping LINK

"Investigating the Quality of Antimalarial Generic Medicines Using Portable Near-Infrared Spectroscopy" LINK

"THE DETERMINATION OF FATTY ACIDS IN CHEESES OF VARIABLE COMPOSITION (COW, EWE'S, AND GOAT) BY MEANS OF NEAR INFRARED SPECTROSCOPY" LINK

"Modeling bending strength of oil-heat-treated wood by near-infrared spectroscopy" LINK

"Non-Invasive Blood Glucose Monitoring using Near-Infrared Spectroscopy based on Internet of Things using Machine Learning" LINK

"Protein, weight, and oil prediction by singleseed nearinfrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)" LINK

"Estimating δ15N and δ13C in Barley and Pea Mixtures Using Near-Infrared Spectroscopy with Genetic Algorithm Based Partial Least Squares Regression" LINK

"ripening stages monitoring of Lamuyo pepper using a new‐generation near‐infrared spectroscopy sensor" LINK

"Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interface Using Regularized Linear Discriminant Analysis Ensemble Classifier Based on Bootstrap Aggregating." LINK

"Continuously measurement of the dry matter content using near-infrared spectroscopy" LINK

"Rapid identification of Lilium species and polysaccharide contents based on near infrared spectroscopy and weighted partial least square method." LINK

"A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy." LINK




Raman Spectroscopy

"Quantitative models for detecting the presence of lead in turmeric using Raman spectroscopy" LINK

"Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition" LINK




Hyperspectral Imaging (HSI)

"Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging." LINK

"Diagnosis of Late Blight of Potato Leaves Based on Deep Learning Hyperspectral Images" LINK

"Applied Sciences, Vol. 10, Pages 2259: Hyperspectral Inversion Model of Chlorophyll Content in Peanut Leaves" LINK

"Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging" LINK

"Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms" LINK

"A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves" LINK

"Deep learning applied to hyperspectral endoscopy for online spectral classification" DOI:10.1038/s41598-020-60574-6 LINK

"Detection of fish fillet substitution and mislabeling using multimode hyperspectral imaging techniques" LINK




Chemometrics and Machine Learning

"Incorporation of two-dimensional correlation analysis into discriminant analysis as a potential tool for improving discrimination accuracy: Near-infrared spectroscopic discrimination of adulterated olive oils." LINK

"Building kinetic models for apple crispness to determine the optimal freshness preservation time during shelf life based on spectroscopy" LINK

"Molecules, Vol. 25, Pages 1453: Characterization, Quantification and Quality Assessment of Avocado (Persea americana Mill.) Oils" LINK

"Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands" LINK




Research on Spectroscopy

"Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel" LINK

"Plenary Lecture Methods and Tools for Sensors Information Processing" LINK




Equipment for Spectroscopy

"Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts" LINK

"Determination of soluble solids content in Prunus avium by Vis/NIR equipment using linear and non-linear regression methods" LINK

"Characterization of Deep Green Infection in Tobacco Leaves Using a Hand-Held Digital Light Projection Based Near-Infrared Spectrometer and an Extreme Learning …" LINK




Agriculture NIR-Spectroscopy Usage

"Portable IoT NIR Spectrometer for Detecting Undesirable Substances in Forages of Dairy Farms" LINK

"Hyperspectral imaging using multivariate analysis for simulation and prediction of agricultural crops in Ningxia, China" LINK

"Robustness of visible/near and midinfrared spectroscopic models to changes in the quantity and quality of crop residues in soil" LINK




Horticulture NIR-Spectroscopy Applications

" The Effect of Spent Mushroom Substrate and Cow Slurry on Sugar Content and Digestibility of Alfalfa Grass Mixtures" LINK




Food & Feed Industry NIR Usage

"Quantification of Ash and Moisture in Wheat Flour by Raman Spectroscopy" LINK




Laboratory and NIR-Spectroscopy

"The influence analysis of reflectance anisotropy of canopy on the prediction accuracy of Cu stress based on laboratory multi-directional measurement" LINK





.

NIR Calibration-Model Services

"Simultaneously multi quantitative value determination from a bunch of NIR spectra by drag and drop of multiple spectral files." | NIRS Spectroscopy - Image is Preview of V2.6 LINK

Calibration Model's free NIR-Predictor V2.5 Software Update is available today | Download here | NIRS NIR Spectroscopy Sensor Application Chemometric Prediction Report QualityControl Lab Laboratory Analysis Production LINK

Spectroscopy and Chemometrics News Weekly 18, 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 18, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 18, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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




Near-Infrared Spectroscopy (NIRS)

"Estimation of Harumanis (Mangifera indica L.) Sweetness using Near-Infrared (NIR) Spectroscopy" LINK

"Near-Infrared (NIR) Spectroscopy to Differentiate Longissimus thoracis et lumborum (LTL) Muscles of Game Species" LINK

"Fault detection with moving window PCA using NIRS spectra for the monitoring of anaerobic digestion process" LINK

"New applications of visnir spectroscopy for the prediction of soil properties" LINK

"Simultaneous determination of quality parameters in yerba mate (Ilex paraguariensis) samples by application of near-infrared (NIR) spectroscopy and partial least …" LINK

"Control of ascorbic acid in fortified powdered soft drinks using near-infrared spectroscopy (NIRS) and multivariate analysis." LINK




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

"Determination of nutritional parameters of bee pollen by Raman and infrared spectroscopy." LINK

"Rapid quantitative detection of mineral oil contamination in vegetable oil by near-infrared spectroscopy" LINK

"Scientists demonstrate the ability of infrared ion spectroscopy to identify and distinguish the molecular structure of three isomers of fluoroamphetamine and two ring-isomers of both MDA and MDMA." LINK

"Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds" LINK

"Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)." phenotyping LINK

"Investigating the Quality of Antimalarial Generic Medicines Using Portable Near-Infrared Spectroscopy" LINK

"THE DETERMINATION OF FATTY ACIDS IN CHEESES OF VARIABLE COMPOSITION (COW, EWE'S, AND GOAT) BY MEANS OF NEAR INFRARED SPECTROSCOPY" LINK

"Modeling bending strength of oil-heat-treated wood by near-infrared spectroscopy" LINK

"Non-Invasive Blood Glucose Monitoring using Near-Infrared Spectroscopy based on Internet of Things using Machine Learning" LINK

"Protein, weight, and oil prediction by singleseed nearinfrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)" LINK

"Estimating δ15N and δ13C in Barley and Pea Mixtures Using Near-Infrared Spectroscopy with Genetic Algorithm Based Partial Least Squares Regression" LINK

"ripening stages monitoring of Lamuyo pepper using a new‐generation near‐infrared spectroscopy sensor" LINK

"Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interface Using Regularized Linear Discriminant Analysis Ensemble Classifier Based on Bootstrap Aggregating." LINK

"Continuously measurement of the dry matter content using near-infrared spectroscopy" LINK

"Rapid identification of Lilium species and polysaccharide contents based on near infrared spectroscopy and weighted partial least square method." LINK

"A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy." LINK




Raman Spectroscopy

"Quantitative models for detecting the presence of lead in turmeric using Raman spectroscopy" LINK

"Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition" LINK




Hyperspectral Imaging (HSI)

"Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging." LINK

"Diagnosis of Late Blight of Potato Leaves Based on Deep Learning Hyperspectral Images" LINK

"Applied Sciences, Vol. 10, Pages 2259: Hyperspectral Inversion Model of Chlorophyll Content in Peanut Leaves" LINK

"Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging" LINK

"Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms" LINK

"A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves" LINK

"Deep learning applied to hyperspectral endoscopy for online spectral classification" DOI:10.1038/s41598-020-60574-6 LINK

"Detection of fish fillet substitution and mislabeling using multimode hyperspectral imaging techniques" LINK




Chemometrics and Machine Learning

"Incorporation of two-dimensional correlation analysis into discriminant analysis as a potential tool for improving discrimination accuracy: Near-infrared spectroscopic discrimination of adulterated olive oils." LINK

"Building kinetic models for apple crispness to determine the optimal freshness preservation time during shelf life based on spectroscopy" LINK

"Molecules, Vol. 25, Pages 1453: Characterization, Quantification and Quality Assessment of Avocado (Persea americana Mill.) Oils" LINK

"Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands" LINK




Research on Spectroscopy

"Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel" LINK

"Plenary Lecture Methods and Tools for Sensors Information Processing" LINK




Equipment for Spectroscopy

"Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts" LINK

"Determination of soluble solids content in Prunus avium by Vis/NIR equipment using linear and non-linear regression methods" LINK

"Characterization of Deep Green Infection in Tobacco Leaves Using a Hand-Held Digital Light Projection Based Near-Infrared Spectrometer and an Extreme Learning …" LINK




Agriculture NIR-Spectroscopy Usage

"Portable IoT NIR Spectrometer for Detecting Undesirable Substances in Forages of Dairy Farms" LINK

"Hyperspectral imaging using multivariate analysis for simulation and prediction of agricultural crops in Ningxia, China" LINK

"Robustness of visible/near and midinfrared spectroscopic models to changes in the quantity and quality of crop residues in soil" LINK




Horticulture NIR-Spectroscopy Applications

" The Effect of Spent Mushroom Substrate and Cow Slurry on Sugar Content and Digestibility of Alfalfa Grass Mixtures" LINK




Food & Feed Industry NIR Usage

"Quantification of Ash and Moisture in Wheat Flour by Raman Spectroscopy" LINK




Laboratory and NIR-Spectroscopy

"The influence analysis of reflectance anisotropy of canopy on the prediction accuracy of Cu stress based on laboratory multi-directional measurement" LINK





.

NIR Calibration Service explained

Our Service is different

  • We build the optimal quantitative prediction models for your NIR analytical needs (No need for mathematical/statistical model building software usage at your site).
  • The NIR-Predictor software and the calibration models are at your site. No internet connection needed to our service. You can do unlimited predictions, that allows fast measurement cycles with no extra cost (Not payed per prediction).
  • You own your NIR + Lab data and the calibrations. You can have access to the detailed Calibration Report with all the settings and statistics (No Black-Box Models).

Get NIR Calibrations

Get NIR Calibrations - Workflow

Your 4 steps to the applicable NIR calibration:

  1. Download free NIR-Predictor here
  2. Combine your NIR-Spectra with Lab-Reference values, see Video for 2. and 3.
    (manual)

  3. Create a Calibration Request and sent it to info@CalibrationModel.com (CM)
  4. After processing you will get a link to the Web Shop to download the calibrations.

Use NIR Calibrations

Use NIR Calibrations Workflow



see more Videos

In other words

Calibration Model simplifies the process of training machine learning models for NIRS data
while providing an opportunity to trying different algorithms and applied near-infrared spectroscopy (NIRS) knowledge.
It’s more than an AutoML platform, it’s a full service where you can download the optimal model and its describing Calibration Report
that provide insights into the data preparation, feature engineering, model training, and hyperparameter tuning.

Start Calibrate


Unser Service ist anders

  • Wir erstellen die optimalen quantitativen Vorhersagemodelle für Ihre NIR-Analysebedürfnisse (kein Bedarf an mathematisch/statistischer Modellbildungssoftware an Ihrem Standort).
  • Die NIR-Predictor-Software und die Kalibrierungsmodelle sind bei Ihnen vor Ort. Für unseren Service ist keine Internetverbindung erforderlich. Sie können unbegrenzt Vorhersagen machen, die schnelle Messzyklen ohne zusätzliche Kosten ermöglichen (Nicht pro Vorhersage bezahlt).
  • Sie besitzen Ihre NIR + Lab Daten und die Kalibrierungen. Sie können auf den detaillierten Kalibrierbericht mit allen Einstellungen und Statistiken zugreifen (keine Black-Box-Modelle).

NIR-Kalibrierungen erhalten

Workflow für NIR-Kalibrierungen

Ihre 4 Schritte zur anwendbaren NIR Kalibrierung:

  1. Download kostenloser NIR-Prädiktor hier
  2. Kombiniere deine NIR-Spektren mit Labor-Referenzwerten, siehe Video für 2. und 3.
    (Handbuch)

  3. Erstellen Sie eine Kalibrierungsanfrage und senden Sie sie an info@CalibrationModel.com (CM)
  4. Nach der Bearbeitung erhalten Sie einen Link zum Web Shop zum Herunterladen der Kalibrierungen.

NIR-Kalibrierungen verwenden

NIR-Kalibrierungs-Workflow verwenden



weitere Videos ansehen

Mit anderen Worten

Calibration Model vereinfacht den Prozess des Trainings von maschinellen Lernmodellen für NIRS-Daten
und bietet gleichzeitig die Möglichkeit, verschiedene Algorithmen und angewandtes Wissen aus der Nahinfrarotspektroskopie (NIRS) auszuprobieren.
Es ist mehr als nur eine AutoML-Plattform, es ist ein umfassender Service, bei dem Sie das optimale Modell und seinen beschreibenden Kalibrierungsbericht herunterladen können,
die Einblicke in die Datenaufbereitung, Feature-Engineering, Modelltraining und Hyperparameter-Tuning geben.

NIR Kalibrierung Starten


Spectroscopy and Chemometrics News Weekly #49, 2019Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #49, 2019Spettroscopia e Chemiometria Weekly News #49, 2019

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 48, 2019 | NIRS NIR Spectroscopy machinelearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Check LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 48 2019 | NIRS NIR Spektroskopie MachineLearning Spektrometer SmartSensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 48, 2019 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem datascience prediction 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 (NIR)

"Development of near infrared reflectance spectroscopy (NIRS) calibration model to estimate the forage quality of shrub species" LINK

"Estimation and classification of popping expansion capacity in popcorn breeding programs using NIR spectroscopy" LINK

"Authentication of liquid egg composition using ATR-FTIR and NIR spectroscopy in combination with PCA" LINK

"Non-Destructive Method for Predicting Sapodilla Fruit Quality Using Near Infrared Spectroscopy" LINK

"Discrimination of white teas produced from fresh leaves with different maturity by near-infrared spectroscopy" LINK

"AI and InfraRed Spectroscopy to Accelerate Malaria Control" LINK

"Near infrared spectroscopic data for rapid and simultaneous prediction of quality attributes in intact mango fruits." LINK

"Reflectance Properties of Brown Mass Dyed Poly (ethylene terephthalate) Filament Yarns in the Visible-near Infrared Region" LINK

" The contribution of Visible Near Infrared Reflectance spectroscopy to colour determination: the case of the experimental ceramic briquettes" | Mineralogy, Petrology, Economic GeologyLINK

"Non-destructive measurement of soluble solids content of three melon cultivars using portable visible/near infrared spectroscopy" LINK

" Predicting plant available phosphorus using infrared spectroscopy with consideration for future mobile sensing applications in precision farming" LINK

"Molecules, Vol. 24, Pages 3900: Antioxidant Activity of Blueberry (Vaccinium spp.) Cultivar Leaves: Differences Across the Vegetative Stage and the Application of Near Infrared Spectroscopy" LINK




Hyperspectral

"A novel hyperspectral line-scan imaging method for whole surfaces of round shaped agricultural products" LINK

"Setting up a methodology to distinguish between green oranges and leaves using hyperspectral imaging" LINK

"Early detection of tomato spotted wilt virus infection in tobacco using the hyperspectral imaging technique and machine learning algorithms" LINK

"The Future of Hyperspectral Imaging" LINK

"Soil fertility status assessment using hyperspectral remote sensing" LINK




Chemometrics / Machine Learning

"Authentication of PGI Gragnano Pasta by Near Infrared (NIR) spectroscopy and chemometrics" LINK

" Prediction of Salt in Soil by PLS Regression Using Hyperspectral Laboratory Data" LINK

"Measurement of quality parameters of sugar beet juices using near-infrared spectroscopy and chemometrics" LINK

"Classification of oolong tea varieties based on hyperspectral imaging technology and BOSS-LightGBM model" LINK

"Analytical and sensory data correlation to understand consumers' grape preference" LINK




Process Control

" A review on mechanisms, screening and engineering for pest resistance in sugarcane (Saccharum spp)" LINK




Environment

"Visible and Near-Infrared Reflectance Spectroscopy Analysis of Soils" LINK

"Spektroradyometre teknigi ile toprak özelliklerinin belirlenmesi; Harran Ovasi cullap sulama birligi alani örnegi/Determination of soil properties using …" LINK




Agriculture

" Assessing plant performance in the Enviratron" LINK

"Broad near infrared spectroscopy calibrations can predict the nutritional value of over one hundred forage species within the Australian feedbase" LINK




Other

"The study of combustion characteristics of corn stalks and cobs via TGA-DTG-DSC analysis" LINK

" Gravimetric and Spectrophotometric Determination of Surface Wax Content in Maize Kernels" LINK

"Detection of Multi-frozen and Single-frozen Fish Using Optical Spectroscopy" LINK





CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 48, 2019 | NIRS NIR Spectroscopy machinelearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Check LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 48 2019 | NIRS NIR Spektroskopie MachineLearning Spektrometer SmartSensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 48, 2019 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem datascience prediction 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 (NIR)

"Development of near infrared reflectance spectroscopy (NIRS) calibration model to estimate the forage quality of shrub species" LINK

"Estimation and classification of popping expansion capacity in popcorn breeding programs using NIR spectroscopy" LINK

"Authentication of liquid egg composition using ATR-FTIR and NIR spectroscopy in combination with PCA" LINK

"Non-Destructive Method for Predicting Sapodilla Fruit Quality Using Near Infrared Spectroscopy" LINK

"Discrimination of white teas produced from fresh leaves with different maturity by near-infrared spectroscopy" LINK

"AI and InfraRed Spectroscopy to Accelerate Malaria Control" LINK

"Near infrared spectroscopic data for rapid and simultaneous prediction of quality attributes in intact mango fruits." LINK

"Reflectance Properties of Brown Mass Dyed Poly (ethylene terephthalate) Filament Yarns in the Visible-near Infrared Region" LINK

" The contribution of Visible Near Infrared Reflectance spectroscopy to colour determination: the case of the experimental ceramic briquettes" | Mineralogy, Petrology, Economic GeologyLINK

"Non-destructive measurement of soluble solids content of three melon cultivars using portable visible/near infrared spectroscopy" LINK

" Predicting plant available phosphorus using infrared spectroscopy with consideration for future mobile sensing applications in precision farming" LINK

"Molecules, Vol. 24, Pages 3900: Antioxidant Activity of Blueberry (Vaccinium spp.) Cultivar Leaves: Differences Across the Vegetative Stage and the Application of Near Infrared Spectroscopy" LINK




Hyperspectral

"A novel hyperspectral line-scan imaging method for whole surfaces of round shaped agricultural products" LINK

"Setting up a methodology to distinguish between green oranges and leaves using hyperspectral imaging" LINK

"Early detection of tomato spotted wilt virus infection in tobacco using the hyperspectral imaging technique and machine learning algorithms" LINK

"The Future of Hyperspectral Imaging" LINK

"Soil fertility status assessment using hyperspectral remote sensing" LINK




Chemometrics / Machine Learning

"Authentication of PGI Gragnano Pasta by Near Infrared (NIR) spectroscopy and chemometrics" LINK

" Prediction of Salt in Soil by PLS Regression Using Hyperspectral Laboratory Data" LINK

"Measurement of quality parameters of sugar beet juices using near-infrared spectroscopy and chemometrics" LINK

"Classification of oolong tea varieties based on hyperspectral imaging technology and BOSS-LightGBM model" LINK

"Analytical and sensory data correlation to understand consumers' grape preference" LINK




Process Control

" A review on mechanisms, screening and engineering for pest resistance in sugarcane (Saccharum spp)" LINK




Environment

"Visible and Near-Infrared Reflectance Spectroscopy Analysis of Soils" LINK

"Spektroradyometre teknigi ile toprak özelliklerinin belirlenmesi; Harran Ovasi cullap sulama birligi alani örnegi/Determination of soil properties using …" LINK




Agriculture

" Assessing plant performance in the Enviratron" LINK

"Broad near infrared spectroscopy calibrations can predict the nutritional value of over one hundred forage species within the Australian feedbase" LINK




Other

"The study of combustion characteristics of corn stalks and cobs via TGA-DTG-DSC analysis" LINK

" Gravimetric and Spectrophotometric Determination of Surface Wax Content in Maize Kernels" LINK

"Detection of Multi-frozen and Single-frozen Fish Using Optical Spectroscopy" LINK





CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 48, 2019 | NIRS NIR Spectroscopy machinelearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Check LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 48 2019 | NIRS NIR Spektroskopie MachineLearning Spektrometer SmartSensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 48, 2019 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem datascience prediction 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 (NIR)

"Development of near infrared reflectance spectroscopy (NIRS) calibration model to estimate the forage quality of shrub species" LINK

"Estimation and classification of popping expansion capacity in popcorn breeding programs using NIR spectroscopy" LINK

"Authentication of liquid egg composition using ATR-FTIR and NIR spectroscopy in combination with PCA" LINK

"Non-Destructive Method for Predicting Sapodilla Fruit Quality Using Near Infrared Spectroscopy" LINK

"Discrimination of white teas produced from fresh leaves with different maturity by near-infrared spectroscopy" LINK

"AI and InfraRed Spectroscopy to Accelerate Malaria Control" LINK

"Near infrared spectroscopic data for rapid and simultaneous prediction of quality attributes in intact mango fruits." LINK

"Reflectance Properties of Brown Mass Dyed Poly (ethylene terephthalate) Filament Yarns in the Visible-near Infrared Region" LINK

" The contribution of Visible Near Infrared Reflectance spectroscopy to colour determination: the case of the experimental ceramic briquettes" | Mineralogy, Petrology, Economic GeologyLINK

"Non-destructive measurement of soluble solids content of three melon cultivars using portable visible/near infrared spectroscopy" LINK

" Predicting plant available phosphorus using infrared spectroscopy with consideration for future mobile sensing applications in precision farming" LINK

"Molecules, Vol. 24, Pages 3900: Antioxidant Activity of Blueberry (Vaccinium spp.) Cultivar Leaves: Differences Across the Vegetative Stage and the Application of Near Infrared Spectroscopy" LINK




Hyperspectral

"A novel hyperspectral line-scan imaging method for whole surfaces of round shaped agricultural products" LINK

"Setting up a methodology to distinguish between green oranges and leaves using hyperspectral imaging" LINK

"Early detection of tomato spotted wilt virus infection in tobacco using the hyperspectral imaging technique and machine learning algorithms" LINK

"The Future of Hyperspectral Imaging" LINK

"Soil fertility status assessment using hyperspectral remote sensing" LINK




Chemometrics / Machine Learning

"Authentication of PGI Gragnano Pasta by Near Infrared (NIR) spectroscopy and chemometrics" LINK

" Prediction of Salt in Soil by PLS Regression Using Hyperspectral Laboratory Data" LINK

"Measurement of quality parameters of sugar beet juices using near-infrared spectroscopy and chemometrics" LINK

"Classification of oolong tea varieties based on hyperspectral imaging technology and BOSS-LightGBM model" LINK

"Analytical and sensory data correlation to understand consumers' grape preference" LINK




Process Control

" A review on mechanisms, screening and engineering for pest resistance in sugarcane (Saccharum spp)" LINK




Environment

"Visible and Near-Infrared Reflectance Spectroscopy Analysis of Soils" LINK

"Spektroradyometre teknigi ile toprak özelliklerinin belirlenmesi; Harran Ovasi cullap sulama birligi alani örnegi/Determination of soil properties using …" LINK




Agriculture

" Assessing plant performance in the Enviratron" LINK

"Broad near infrared spectroscopy calibrations can predict the nutritional value of over one hundred forage species within the Australian feedbase" LINK




Other

"The study of combustion characteristics of corn stalks and cobs via TGA-DTG-DSC analysis" LINK

" Gravimetric and Spectrophotometric Determination of Surface Wax Content in Maize Kernels" LINK

"Detection of Multi-frozen and Single-frozen Fish Using Optical Spectroscopy" LINK





Cost comparison / Price comparison of Chemometrics / Machine Learning / Data Science for NIR-Spectroscopy – Kostenvergleich / Preisvergleich von Chemometrie / Maschinelles Lernen / Data Science für die NIR-Spektroskopie – Confronto dei costi / Confronto dei prezzi della chemiometria / Apprendimento automatico / Scienza dei dati per la spettroscopia NIR

Reduce Operating Costs and Total Cost of Ownership (TCO) of NIR-Spectroscopy (NIRS) in the Digitalization Age.

NIR-Spectroscopy (NIRS) - Reduce cost, Increase revenue

Reduce Cost by automated NIR development.
Increase Revenue by higher accuracy NIR results.

CalibrationModel.com (CM) versus Others

Costs are not everything, there are other important factors listed in the table.

CM fix € pricing (approx.)Others € Price Range (approx.)
Software
included
Chemometric Packagenot‑needed
€3500 - €6500 per user
Chemometric Predictor
free‑software
€1500 - €2500 per NIR device
Knowledge
included
Chemometric Trainingnot‑needed
€1500 - €2500 per user
Chemometrician* Salarynot‑needed
1 years Salary / year
(+ risk of Employee Turnover)
Computation
included
Powerful Computer (many Processors, lot of RAM for big data)not‑needed
€1500 - €4500 per computer
Development and Usage
Development of a Calibration
€128
€80 - €150 / hour

of Chemometrician* using a Chemometric Software (click and wait) and applying it's knowledge

Usage of a Calibration
€60 / year
Total€178 in first year
€60 in second year
initial (min €8000 , max €15500)
+ 2 * (2 - 4)(hour to cost same! as CM service) * (€80 - €150) Chemometrician* work
no initial cost
very high initial costs
no personnel cost
high personnel* costs
constant CM services
risk of Employee Turnover
global knowledge
risk of only use personal knowledge
easy to calculate fix cost on demand
difficult to calculate variable cost on demand plus Chemometrician* Recruitment needed
Results :
calibration prediction performance
always reproducible highly optimized
only as good as your Chemometrician* daily condition
better prediction performance, due to best-of 10'000x calibrations
small size of experiments, non-optimal calibrations

See also:
pricing

Start Calibrate

*) Personnel / Chemometrician / Data Scientist / Data Analyst / Machine Learning Engineer :
We are not against it, we are one of them a long time ago, but the way the work is done is changing (see below).

2019 Digitalization and the Future of Work: Macroeconomic Consequences

2019 The Digitalization of the American Workforce

2017 Digitalization and the American workforce , full-report