Spectroscopy and Chemometrics/Machine-Learning News Weekly #27, 2022

NIR Calibration-Model Services

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Near-Infrared Spectroscopy (NIRS)

“Simulation of an Algorithm for Space Target Materials Identification Based on vis-NIR Hyperspectral Data” LINK

“Near-Infrared Sensitive Nanoparticle Mediated Photothermal Ablation of Ventricular Myocardium” LINK

“Advances in NIR Spectroscopy Analytical Technology in Food Industries” | LINK

“Machine Learning Approach for Classifying College Scholastic Ability Test Levels with Unsupervised Features from Prefrontal Functional Near-Infrared Spectroscopy …” LINK

“Determination of the Soluble Solids Content in Korla Fragrant Pears Based on Visible and Near-Infrared Spectroscopy Combined With Model Analysis and Variable Selection” LINK

“Non-destructive Evaluation of the Quality Characteristics of Pomegranate Kernel Oil by Fourier Transform Near-Infrared and Mid-Infrared Spectroscopy” LINK

“Evaluation of Vis-NIR preprocessing combined with PLS regression for estimation soil organic carbon, cation exchange capacity and clay from eastern Croatia” LINK

“Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry” LINK

“근적외선분광 (NIRS) 을 이용한 참깨의 lignan 함량 비파괴 분석 방법 확립” LINK

“Non-destructive measurement of antioxidant activity and water content in chili powder (Capsicum annuum L.) using near-infrared spectroscopy”LINK

“Design of an Integrated Near-Infrared Spectroscopy Module for Sugar Content Estimation of Apples” LINK

“A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid Strategy” | LINK

“Novel Application of NIR Spectroscopy for Non-Destructive Determination of ‘Maratina’ Wine Parameters” LINK




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

“Near-infrared spectroscopy for Non-destructive determination of Quality of fresh cut cucumber during shelf life” LINK

“Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral imaging technology coupled with human sensory information to evaluate the fermentation degree of black tea” LINK

“Short-Wave Infrared Hyperspectral Imaging System for Nondestructive Evaluation of Powdered Food” | LINK

“Integrated smart hyperspectral imaging and CARS-based characteristic band selection for rapid determination of SO_2 content in sulphur-fumigated Achyranthis Bidentatae Radix” LINK

“Effect of germ orientation during Vis-NIR hyperspectral imaging for the detection of fungal contamination in maize kernel using PLS-DA, ANN and 1D-CNN modelling” LINK




Chemometrics and Machine Learning

“Development of a Soil Organic Matter Content Prediction Model Based on Supervised Learning Using Vis-NIR/SWIR Spectroscopy” LINK

“Slice spectra approach to synchronous Two-dimensional correlation spectroscopy analysis for milk adulteration discriminate” LINK

“Validação prática de modelos de infravermelho próximo para tomate: sólidos solúveis e acidez” LINK

“Performance evaluation of variable selection methods coupled with partial least squares regression to determine the target component in solid samples” LINK

“APPLICATION OF VIS/NIR SPECTROSCOPY AND PARTIAL LEAST SQUARE REGRESSION (PLSR) FOR ESTIMATION OF SKIN COLOR IN CAYENNE PEPPER …” LINK

“Flipped detection of psychoactive substances in complex mixtures using handheld Raman spectroscopy coupled to chemometrics” LINK

“Agriculture : Calibration Spiking of MIR-DRIFTS Soil Spectra for Carbon Predictions Using PLSR Extensions and Log-Ratio Transformations” LINK

“波长漂移对近红外光谱 PLSR 分析模型的影响” LINK

“Diffuse Reflection Infrared Fourier Transform Spectroscopy and Partial Least Squares Regression Analysis for Temperature Prediction of Irreversible Thermochromic Paints” LINK




Optics for Spectroscopy

“Photonics : Ultra-Sensitive Si-Based Optical Sensor for Nanoparticle-Size Traditional Water Pollutant Detection” LINK




Research on Spectroscopy

“Diet quality, liveweight change and responses to N supplements by cattle grazing Astrebla spp.(Mitchell grass) pastures in the semi-arid tropics in northwest …” LINK




Equipment for Spectroscopy

“Polymers : Recovery of Waste Material from Biobags: 3D Printing Process and Thermo-Mechanical Characteristics in Comparison to Virgin and Composite Matrices” LINK




Environment NIR-Spectroscopy Application

“Transfer learning strategy for plastic pollution detection in soil: Calibration transfer from high-throughput HSI system to NIR sensor” LINK




Agriculture NIR-Spectroscopy Usage

“Effect of Phosphorus deficiency on chlorophyll a fluorescence and visible near-infrared reflectance of wheat plants (Triticum aestivum L.) grown in hydroponic …” LINK

“Sensors : NIR Instruments and Prediction Methods for Rapid Access to Grain Protein Content in Multiple Cereals” LINK

“Utilizing Hyper-Spectral No-Image Measurement to Assess the Development of disease severity of Cercospora Leaf Spot disease in sugar beet canopy” LINK




Horticulture NIR-Spectroscopy Applications

“Forests : Quality Analysis and Comprehensive Evaluation of Fruits from Different Cultivars of Pecan (Carya illinoinensis (Wangenheim) K. Koch)” LINK




Food & Feed Industry NIR Usage

“Foods : Date, Apple, and Pear By-Products as Functional Ingredients in Pasta: Cooking Quality Attributes and Physicochemical, Rheological, and Sensorial Properties” LINK




Laboratory and NIR-Spectroscopy

“Absolute radiometric calibration of an imaging spectroradiometer using a laboratory detector-based approach” LINK




Other

“Increased multimorbidity is associated with impaired cerebral and peripheral hemodynamic stabilization during active standing” LINK

“Synthesis of N-Doped ZnO Nanocomposites for Sunlight Photocatalytic Degradation of Textile Dye Pollutants” LINK

“Symmetry : Asymmetric Prefrontal Cortex Activation Associated with Mutual Gaze of Mothers and Children during Shared Play” LINK

“Coatings : Evaluation on Thermal Protection Performance of TiO2 Coated Aramid Nonwoven” LINK

“土壤水分去除算法的田间原位光谱反演棉田有机质” LINK

“近红外光谱技术用于银杏叶色谱分离过程多种内酯成分含量预测” LINK

“近红外光谱技术在微生物检测中的应用进展” LINK

“식품 산업에서의 근적외선 분광법을 이용한 비파괴 분석법 동향” LINK

“Applied Sciences : On the Absorption and Photoluminescence Properties of Pure ZnSe and Co-Doped ZnSe:Eu3+/Yb3+ Crystals” LINK

This is a mathematics joke. LINK

Table of organic compounds & their smells.LINK

“A Comparative Investigation of Chemically Reduced Graphene Oxide Thin Films Deposited via Spray Pyrolysis” | LINK





Spectroscopy and Chemometrics/Machine-Learning News Weekly #26, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 25, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 25, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 25, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

“A study on the rapidly non-destructive detection method of Huoxiang Zhengqi oral liquid using near infrared spectroscopy” LINK

“NIR spectroscopy for reaction monitoring and reaction mixture identification of cycloaliphatic epoxides” (SICI) LINK

“근적외선분광 (NIRS) 을 이용한 참깨의 lignan 함량 비파괴 분석 방법 확립” LINK

“Differences between chemical analysis and portable near-infrared reflectance spectrometry in maize hybrids” | LINK

“Rapid Detection of Goat Milk Mixed with Bovine Milk and Infant Goat Milk Formulas Mixed with Bovine Whey Powder by NIRS Fingerprints” |) LINK

“Neurovascular coupling analysis of working memory based on electroencephalography and functional near-infrared spectroscopy” LINK

“Fundamental effective temperature measurements for eclipsing binary stars–III. SPIRou near-infrared spectroscopy and CHEOPS photometry of the benchmark G0V …” LINK

“Physiological variable predictions using VIS-NIR spectroscopy for water stress detection on grapevine: interest in combining climate data using multiblock method” LINK

“SpectraNet-53: A Deep Residual Learning Architecture for Predicting Soluble Solids Content with VIS-NIR Spectroscopy” LINK

“Remote Sensing : Comparing the Use of Red-Edge and Near-Infrared Wavelength Ranges for Detecting Submerged Kelp Canopy” LINK

“Near-infrared spectroscopy combined with chemometrics to classify cosmetic foundations from a crime scene” LINK

“Broadband Near-Infrared-Emitting Phosphors with Suppressed Concentration Quenching in a Two-Dimensional Structure” LINK

“Using Machine Learning Methods and vis-NIRS in Screening of GMO, Non-GMO, and Hybrids of Brassica” LINK

“Fourier transform near-infrared spectroscopy coupled with variable selection methods for fast determination of salmon fillets storage time” LINK

“Guayulin content, resin and rubber fraction by near infrared spectroscopy in guayule stems (Parthenium argentatum, A. Gray)” LINK

“Near Infrared Technology in Agricultural Sustainability: Rapid Prediction of Nitrogen Content from Organic Fertilizer” LINK

“Digital Detection of Olive Oil Rancidity Levels and Aroma Profiles Using Near-Infrared Spectroscopy, a Low-Cost Electronic Nose and Machine Learning …” LINK

“Evaluation of the freshness of rainbow trout (Oncorhynchus mykiss) fillets by the NIR, E-nose and SPME-GC-MS” | LINK

“Trends in non-destructive analysis using near infrared spectroscopy in food industry” LINK

“Potential of NIRS Technology for the Determination of Cannabinoid Content in Industrial Hemp (Cannabis sativa L.)” LINK

“Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning” | LINK




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

“Development of a near‐infrared spectroscopy calibration for Hagberg falling number assessment of barley (Hordeum vulgare): A comparison of methods” LINK

“Integration of near-infrared spectroscopy and aquaphotomics for discrimination of cultured cancerous cells using phenol red” LINK

“Yb3+Doped Phenylethylammonium Lead Bromide 2D Layered Hybrid Perovskite for Near Infrared Emission” LINK




Raman Spectroscopy

“A Component Content Measurement Method Modified Using Indirect Hard Modeling for Polymer Blends Based on Raman Spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral and genome-wide association analyses of leaf phosphorus status in local Thai indica rice” LINK

“Moldy Peanuts Identification Based on Hyperspectral Images and Point-centered Convolutional Neural Network Combined with Embedded Feature Selection” LINK

“Moisture detection of single corn seed based on hyperspectral imaging and deep learning” LINK

“Remote Sensing : Combining Different Transformations of Ground Hyperspectral Data with Unmanned Aerial Vehicle (UAV) Images for Anthocyanin Estimation in Tree Peony Leaves” LINK

“Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks” LINK

“Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality” LINK

“A new quantitative index for the assessment of tomato quality using Vis-NIR hyperspectral imaging” LINK

“Sensors : Inversion of Nitrogen Concentration in Apple Canopy Based on UAV Hyperspectral Images” LINK

“Hyperspectral time series datasets of maize during the grain filling period” | LINK




Chemometrics and Machine Learning

“Authenticity green coffee bean species and geographical origin using nearinfrared spectroscopy combined with chemometrics” LINK

“Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering” LINK

“Calibration set optimization and library transfer for soil carbon estimation using soil spectroscopy A review” LINK

“IAI SPECIAL EDITION: Infrared spectroscopy chemometric model for determination of phenolic content of plant leaf powder” LINK

“Plants : Correlation of Glucosinolates and Volatile Constituents of Six Brassicaceae Seeds with Their Antioxidant Activities Based on Partial Least Squares Regression” LINK

“Study on the Classification Method of Rice Leaf Blast Levels Based on Fusion Features and Adaptive-Weight Immune Particle Swarm Optimization Extreme Learning Machine Algorithm” | LINK

“Classification of Waste Wood Categories According to the Best Reuse Using Ft-Nir Spectroscopy and Chemometrics” LINK

“Remote Sensing : Spectral Method for Liming Recommendation in Oxisol Based on the Prediction of Chemical Characteristics Using Interval Partial Least Squares Regression” LINK




Optics for Spectroscopy

“Polymers : Interfaces Based on Laser-Structured Arrays of Carbon Nanotubes with Albumin for Electrical Stimulation of Heart Cell Growth” LINK




Equipment for Spectroscopy

“Experimental methods in chemical engineering: Optical fibre probes in multiphase systems” LINK

“Assessing the potential of a handheld visible-near infrared microspectrometer for sugar beet phenotyping” LINK




Process Control and NIR Sensors

“Multi critical quality attributes monitoring of Chinese oral liquid extraction process with a spectral sensor fusion strategy” LINK




Environment NIR-Spectroscopy Application

“Remote Sensing : Detection of Tree Decline (Pinus pinaster Aiton) in European Forests Using Sentinel-2 Data” LINK

“Mapping Organizational Changes of FiberLike Structures in Disease Progression by Multiparametric, Quantitative Imaging” LINK

“Remote Sensing : Recognition of the Bare Soil Using Deep Machine Learning Methods to Create Maps of Arable Soil Degradation Based on the Analysis of Multi-Temporal Remote Sensing Data” LINK

“Sensors : On the Acquisition of High-Quality Digital Images and Extraction of Effective Color Information for Soil Water Content Testing” LINK




Agriculture NIR-Spectroscopy Usage

“Aggregation Reduces Subcellular Localization and Cytotoxicity of Single-Walled Carbon Nanotubes” LINK

“Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods” | LINK

“Design of a Phenotypic Sensor About Protein and Moisture in Wheat Grain” LINK




Horticulture NIR-Spectroscopy Applications

“Rapid detection and quantification of the adulteration of orange juice with grapefruit juice using handheld Raman spectroscopy and multivariate analysis” LINK




Food & Feed Industry NIR Usage

“Synthesis and characterization of the `Japanese riceball’shaped Molybdenum Blue Na4[Mo2O2(OH)4(C6H4NO2)2]2[Mo120Ce6O366H12(OH)2(H2O)76]200H2O” LINK

“Methodology for Olive Fruit Quality Assessment by Means of a Low-Cost Multispectral Device” LINK




Chemical Industry NIR Usage

“Polymers : The Impact of Selected Laser-Marking Parameters and Surface Conditions on White Polypropylene Moldings” LINK

“Polymers : Electrical Transport, Structural, Optical and Thermal Properties of [(1−x)Succinonitrile: xPEO]-LiTFSI-Co(bpy)3(TFSI)2-Co(bpy)3(TFSI)3 Solid Redox Mediators” LINK




Other

“การ ตรวจ สอบ องค์ประกอบ ทาง เคมี ใน ข้าวเปลือก แบบ รวดเร็ว ด้วย เนีย ร์ อินฟราเรด สเปก โต รส โค ปี” LINK

“Structural and Optical Characterization of Mechanochemically Synthesized CuSbS2 Compounds” LINK

“Site-specific Seeding Using Proximal and Remote Sensors Data Fusion” LINK

“Enhanced electrocatalysis of WSe2 nanosheets by partial oxidation for hydrogen generation” LINK



Spectroscopy and Chemometrics/Machine-Learning News Weekly #20, 2022

NIR Calibration-Model Services

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Spettroscopia e Chemiometria Weekly News 19, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

“Why People and AI Make Good Business Partners” | human AI relationships AI as a Service ( AIaaS ) LabManager NIRS MachineLearning LINK

“A novel aquaphotomics based approach for understanding salvianolic acid A conversion reaction with near infrared spectroscopy” LINK

“ex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learnin” LINK

“DETERMINATION OF QUALITY AND RIPENING STAGES OF ‘PACOVAN’BANANAS USING VIS-NIR SPECTROSCOPY AND MACHINE LEARNING” LINK

“Rapid authentication and composition determination of cellulose films by UV-VIS-NIR spectroscopy” LINK

“Interoceptive Attentiveness Induces Significantly More PFC Activation during a Synchronized Linguistic Task Compared to a Motor Task as Revealed by Functional Near-Infrared Spectroscopy” | LINK

“Near-infrared spectroscopy and machine learning-based technique to predict quality-related parameters in instant tea” | LINK

“Sensors : LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI” LINK

“Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy” LINK

“Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks” LINK

“Multimodal diffuse optical system integrating DSCA-NIRS and cSFDI for measuring tissue metabolism” LINK

extruded granules extruder NIR AEE audible acoustic emission granule drying process PAT LINK

“Fast Noniterative Data Analysis Method for Frequency-Domain Near-Infrared Spectroscopy with the Microscopic Beer-Lambert Law” LINK

“Vis-NIR Hyperspectral Dimensionality Reduction for Nondestructive Identification of China Northeast Rice” | LINK

“FT-NIR Spectroscopy for the Non-Invasive Study of Binders and Multi-Layered Structures in Ancient Paintings: Artworks of the Lombard Renaissance as Case Studies” LINK

“In Vivo Measurement Strategy for Near-Infrared Noninvasive Glucose Detection and Human Body Verification” LINK

“A Standard-Free Calibration Transfer Strategy for a Discrimination Model of Apple Origins Based on Near-Infrared Spectroscopy” LINK

“Comparative study on the real-time monitoring of a fluid bed drying process of extruded granules using near-infrared spectroscopy and audible acoustic emission” LINK

“Fast detection of cotton content in silk/cotton textiles by handheld near-infrared spectroscopy: a performance comparison of four different instruments” LINK

“Evaluation of optical properties of tofu samples produced with different coagulation temperatures and times using near-infrared transmission spectroscopy” LINK

“Near-Infrared Spectroscopy and Mode Cloning (NIR-MC) for In-Situ Analysis of Crude Protein in Bamboo” LINK

“Near-infrared spectroscopy to estimate the chemical element concentration in soils and sediments in a rural catchment” LINK

“Ensemble classification and regression techniques combined with portable near infrared spectroscopy for facile and rapid detection of water adulteration in bovine …” LINK

“Characterization of crude oils with a portable NIR spectrometer” CrudeOil NIRspectrometer LINK




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

“A Device for Measuring Apple Sweetness Using Near Infrared Spectroscopy” LINK

“Nearinfrared fluorophores based on heptamethine cyanine dyes: from their synthesis and photophysical properties to recent optical sensing and bioimaging applications” LINK

“Use of Attenuated Total Reflection Fourier Transform Infrared Spectroscopy and Principal Component Analysis for the Assessment of Engine Oils” | LINK

“Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview” LINK

“Analyzing the Water Confined in Hydrogel Using Near-Infrared Spectroscopy” LINK

“Near-infrared spectra of aqueous glucose solutions” LINK

“Determination of storage period of harvested plums by nearinfrared spectroscopy and quality attributes” LINK




Hyperspectral Imaging (HSI)

“Rapid Detection of Different Types of Soil Nitrogen Using Near-Infrared Hyperspectral Imaging” LINK

“Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview” LINK

“Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning” LINK

“Improving rice nitrogen stress diagnosis by denoising strips in hyperspectral images via deep learning” LINK

“Identification of Soil Arsenic Contamination in Rice Paddy Field Based on Hyperspectral Reflectance Approach” LINK




Chemometrics and Machine Learning

“Remote Sensing : Early Detection of Dendroctonus valens Infestation with Machine Learning Algorithms Based on Hyperspectral Reflectance” LINK

“Applied microwave power estimation of black carrot powders using spectroscopy combined with chemometrics” LINK

DataScientist Job: Expectation vs. Reality [infographic] BigData DataScience Analytics AI MachineLearning ArtificialIntelligence Data DataAnalytics Python SQL Statistics DataViz Careers Jobs FeatureEngineering DataPrep DataCleaning LINK

“Agronomy : Detection of Adulterations in Fruit Juices Using Machine Learning Methods over FT-IR Spectroscopic Data” LINK

“Reflectance Based Models for Non-Destructive Prediction of Lycopene Content in Tomato Fruits” | LINK

“The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation” LINK

“Machine Learning Strategies for the Retrieval of Leaf-Chlorophyll Dynamics: Model Choice, Sequential Versus Retraining Learning, and Hyperspectral Predictors” | LINK

“In-line near-infrared analysis of milk coupled with machine learning methods for the daily prediction of blood metabolic profile in dairy cattle” LINK

“Near-infrared spectroscopy with chemometrics for identification and quantification of adulteration in high-quality stingless bee honey” LINK

“Rapid identification and quantification of intramuscular fat adulteration in lamb meat with VIS-NIR spectroscopy and chemometrics methods” LINK




Optics for Spectroscopy

“Spectrum Reconstruction with Filter-Free Photodetectors Based on Graded-Band-Gap Perovskite Quantum Dot Heterojunctions” LINK




Facts

“Sensors : Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach” | LINK




Research on Spectroscopy

“A Study of C= O… HO and OH… OH (Dimer, Trimer, and Oligomer) Hydrogen Bonding in a Poly (4-vinylphenol) 30%/Poly (methyl methacrylate) 70% Blend and its …” LINK

“Deeper insights into the photoluminescence properties and (photo) chemical reactivity of cadmium red (CdS1− xSex) paints in renowned twentieth century …” | LINK




Equipment for Spectroscopy

“Green Textile Materials for Surface Enhanced Raman Spectroscopy Identification of Pesticides Using a Raman Handheld Spectrometer for In-Field Detection” LINK

“Characterization of Crude Oils with a Portable Nir Spectrometer” LINK

“Discrimination of the Red Jujube Varieties Using a Portable NIR Spectrometer and Fuzzy Improved Linear Discriminant Analysis” LINK

“Rapid authentication of the geographical origin of milk using portable near‐infrared spectrometer and fuzzy uncorrelated discriminant transformation” LINK




Environment NIR-Spectroscopy Application

“Remote Sensing : Estimating Forest Soil Properties for Humus Assessment—Is Vis-NIR the Way to Go?” LINK

“Sensors : Evaluation of Two Portable Hyperspectral-Sensor-Based Instruments to Predict Key Soil Properties in Canadian Soils” LINK

“Evaluation of Vis-Nir Pretreatments Combined with Pls Regression for Estimation SOC, Cec and Clay in Silty Soils from Eastern Croatia” LINK

“Comparing Two Different Development Methods of External Parameter Orthogonalization for Estimating Organic Carbon from Field-Moist Intact Soils by Reflectance …” LINK




Agriculture NIR-Spectroscopy Usage

“Site-specific seeding for maize production using management zone maps delineated with multi-sensors data fusion scheme” LINK

“Rapid Identification of Soybean Varieties by Terahertz Frequency-Domain Spectroscopy and Grey Wolf Optimizer-Support Vector Machine” | LINK

“A LUCASbased midinfrared soil spectral library: Its usefulness for soil survey and precision agriculture” LINK

“Identification of Microplastics in Biosolids Using Ftir and Vis-Nir Spectroscopy Enhanced by Chemometric Methods” LINK

“Agriculture : Feature Wavelength Selection Based on the Combination of Image and Spectrum for Aflatoxin B1 Concentration Classification in Single Maize Kernels” LINK




Food & Feed Industry NIR Usage

“Agronomy : Analysis of Physico-Chemical and Organoleptic Fruit Parameters Relevant for Tomato Quality” LINK




Chemical Industry NIR Usage

“Polymers : Microscopic and Structural Studies of an Antimicrobial Polymer Film Modified with a Natural Filler Based on Triterpenoids” LINK




Laboratory and NIR-Spectroscopy

“Laboratory Hyperspectral Image Acquisition System Setup and Validation” LINK




Other

“A sensor combination based automatic sorting system for waste washing machine parts” LINK





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Spectroscopy and Chemometrics/Machine-Learning News Weekly #11, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 10, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

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Spettroscopia e Chemiometria Weekly News 10, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

“Rapid Measurement of Cellulose, Hemicellulose, and Lignin Content in Sargassum horneri by Near-Infrared Spectroscopy and Characteristic Variables Selection Methods” LINK

“Freshness Identification of Oysters Based on Colorimetric Sensor Array Combined with Image Processing and Visible Near-Infrared Spectroscopy” LINK

“Impaired Brain Activity in Patients With Persistent Atrial Fibrillation Assessed by Near-infrared Spectroscopy and Its Changes After Catheter Ablation” LINK

“Evaluation of a novel wireless near-infrared spectroscopy (NIRS) device in the detection of tourniquet induced ischaemia” LINK

“Identification and Quantitative Determination of Virgin and Recycled Cashmere: a Near-Infrared Spectroscopy Study” LINK

“Effect of Different Scanning Distances on Estimation of Oil Content in Oil Palm Fruitlets using Visible Shortwave Near Infrared Spectroscopy” LINK

“Prediction for total moisture content in wood pellets by Near Infrared Spectroscopy (NIRS)” LINK

“Rapid Construction of an Optimal Model for Near-Infrared Spectroscopy (NIRS) by Particle Swarm Optimization (PSO)” | LINK

“Learning fruit class from short wave near infrared spectral features, an AI approach towards determining fruit type” LINK

“Near infrared spectroscopy as a fast and non-destructive technique for total acidity prediction of intact mango: Comparison among regression approaches” LINK

“Non-destructive determination of four tea polyphenols in fresh tea using visible and near-infrared spectroscopy” LINK

“Invited review: A comprehensive review of visible and near-infrared spectroscopy for predicting the chemical composition of cheese” |(21)01099-7/fulltext LINK

“Cr3+-Doped Broadband Near Infrared Diopside Phosphor for NIR pc-LED” | LINK

“RAPID PREDICTION OF HYDROCARBON MOLECULAR COMPOSITION OF NAPHTHA BASED ON NEAR INFRARED SPECTROSCOPY” LINK

“Prediction of the intramuscular fat and protein content of freeze dried ground meat from cattle and sheep using NearInfrared Spectroscopy (NIRS)” LINK




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

“Nearinfrared spectroscopy for the inline classification and characterization of fruit juices for a productcustomized flash pasteurization” | LINK




Raman Spectroscopy

“A Proof-of-Principle Study of Non-invasive Identification of Peanut Genotypes and Nematode Resistance Using Raman Spectroscopy” | LINK




Hyperspectral Imaging (HSI)

“Quantitative prediction of moisture content distribution in acetylated wood using near-infrared hyperspectral imaging” | LINK

“Hyperspectral Imaging for Clinical Applications” | LINK

“Indirect quantitative analysis of soluble solid content in citrus by the leaves using hyperspectral imaging combined with machine learning” LINK

“Polysaccharide prediction in Ganoderma lucidum fruiting body by hyperspectral imaging” LINK

“Accurate prediction of soluble solid content in dried Hami jujube using SWIR hyperspectral imaging with comparative analysis of models” LINK




Spectral Imaging

“Spectral Comparison of UAV-Based Hyper and Multispectral Cameras for Precision Viticulture” LINK




Chemometrics and Machine Learning

“Spectral Pre-Processing and Multivariate Calibration Methods for the Prediction of Wood Density in Chinese White Poplar by Visible and Near Infrared Spectroscopy” LINK

“Screening Method for the Detection of Other Allergenic Nuts in Cashew Nuts Using Chemometrics and a Portable Near-Infrared Spectrophotometer” | LINK

“Removal of external influences from on-line vis-NIR spectra for predicting soil organic carbon using machine learning” LINK

“Silica-Carbonate of Ba(II) and Fe<sup>2+</sup>/Fe<sup>3+</sup> Complex as Study Models to Understand Prebiotic Chemistry” LINK

“Estimation of soil organic carbon using chemometrics: a comparison between mid-infrared and visible near infrared diffuse reflectance spectroscopy” LINK

“Quantitative Analysis of Methanol in Methanol Gasoline by Calibration Transfer Strategy Based on Kernel Domain Adaptive Partial Least Squares (kda-PLS)” | LINK

“Transformer Model for Functional Near-Infrared Spectroscopy Classification” LINK

“Forests : Spectral Pre-Processing and Multivariate Calibration Methods for the Prediction of Wood Density in Chinese White Poplar by Visible and Near Infrared Spectroscopy” LINK

“Few-Shot Open-Set Recognition of Hyperspectral Images With Outlier Calibration Network” LINK

“DISCRIMINATING BETWEEN FOREST PLANTATION GENERA USING REMOTE SENSING AND MACHINE LEARNING ALGORITHMS” LINK

“A Data Fusion Model to Merge the Spectra Data of Intact and Powdered Cayenne Pepper for the Fast Inspection of Antioxidant Properties” LINK




Optics for Spectroscopy

“Ultrafast and efficient energy transfer in a one- and two-photon sensitized rhodamine-BODIPY dyad: a perspective for broadly absorbing photocages” LINK




Research on Spectroscopy

“Polymers : Multifunctional Slippery Polydimethylsiloxane/Carbon Nanotube Composite Strain Sensor with Excellent Liquid Repellence and Anti-Icing/Deicing Performance” LINK




Environment NIR-Spectroscopy Application

“Divergent responses of soil microbial functional groups to long-term high nitrogen presence in the tropical forests” LINK

“Ammonia-oxidizing bacteria and fungal denitrifier diversity are associated with N2O production in tropical soils” LINK

“In Situ Synthesis of Phenoxazine Dyes in Water: Application for “TurnOn” Fluorogenic and Chromogenic Detection of Nitric Oxide” LINK

“Remote Sensing : Autonomous Differential Absorption Laser Device for Remote Sensing of Atmospheric Greenhouse Gases” LINK

“Remote Sensing : Maize Characteristics Estimation and Classification by Spectral Data under Two Soil Phosphorus Levels” LINK




Agriculture NIR-Spectroscopy Usage

” Yield, Yield Components, and Nutritive Value of Perennial Forage Grass Grown under Supplementary Irrigation” | LINK

“Seasonality and Grazing Management Effect on Growth and Nutritional Composition of Herbage on Semi-Natural Grasslands Grazed by Dairy Cows in Southwest …” LINK

“Sensors : Enhancing Crop Yield Prediction Utilizing Machine Learning on Satellite-Based Vegetation Health Indices” LINK

“Applied Sciences : Making Sense of Light: The Use of Optical Spectroscopy Techniques in Plant Sciences and Agriculture” LINK

“Determination of adulteration in wheat flour using multi-grained cascade forest-related models coupled with the fusion information of hyperspectral imaging” LINK

“Agronomy : Assessment of the Impact of Soil Contamination with Cadmium and Mercury on Leaf Nitrogen Content and Miscanthus Yield Applying Proximal Spectroscopy” LINK

“Agronomy : Current Skills of Students and Their Expected Future Training Needs on Precision Agriculture: Evidence from Euro-Mediterranean Higher Education Institutes” LINK




Horticulture NIR-Spectroscopy Applications

“Rapid and nondestructive prediction of firmness, soluble solids content, and pH in kiwifruit using Vis-NIR spatially resolved spectroscopy” LINK

“Spectral pattern study of citrus black rot caused by Alternaria alternata and selecting optimal wavelengths for decay detection” | LINK




Food & Feed Industry NIR Usage

“Phenomic selection in wheat breeding: identification and optimisation of factors influencing prediction accuracy and comparison to genomic selection” LINK

“Foods : Promoting Sustainable Lifestyle Habits: “Real Food” and Social Media in Spain” LINK

“Smartphone imaging spectrometer for egg/meat freshness monitoring” LINK




Beverage and Drink Industry NIR Usage

“The Potential of Spectroscopic Techniques in Coffee Analysis—A Review” LINK




Chemical Industry NIR Usage

“Polymers : Adsorption of Hydrolysed Polyacrylamide onto Calcium Carbonate” LINK




Pharma Industry NIR Usage

“Antibiotics : Curcumin: Biological Activities and Modern Pharmaceutical Forms” LINK




Other

“Better utilization of Lolium perenne in biorefineries based on its chemical composition” LINK

“Test-Retest Reliability of the Microvascular Oxygenation Recovery Response Subsequent to Submaximal Cycling Exercise” LINK

“Characterization of novel lunar highland and mare simulants for ISRU research applications” LINK

“Band Alignment of Ultrawide Bandgap ε-Ga2O3/h-BCN Heterojunction Epitaxially Grown by Metalorganic Chemical Vapor Deposition” LINK

“Coatings : Application of Artificial Neural Networks in Analysis of Time-Variable Optical Reflectance Spectra in Digital Light Projection Spectroscopy” LINK

“Kandungan karotenoid, antioksidan, dan kadar air dua varietas cabai rawit pada tingkat kematangan berbeda dan deteksi non-destruktif” LINK




Spectroscopy and Chemometrics/Machine-Learning News Weekly #3, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 2, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 2, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 2, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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

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




Near-Infrared Spectroscopy (NIRS)

“Qualitative Discrimination of Intact Tobacco Leaves Based on Near-Infrared Technology” | LINK

“Compositionally complex (Ca, Sr, Ba) ZrO3 fibrous membrane with excellent structure stability and NIR reflectance” LINK

“Applicability of Near Infrared Reflectance Spectroscopy to Predict Amylose Contents of Single-Grain Maize” LINK

“Potential of Near-Infrared (NIR) spectroscopy technique for early detection of Insidious Fruit Rot (IFR) disease in Harumanis mango” LINK

“Nondestructive prediction of fresh pepper hotness with a single scan using portable near infrared spectroscopy and variable selection strategy” LINK

“Interferometric near Infrared Spectroscopy (iNIRS): From Conception to Human Brain Imaging” LINK

“Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy” LINK

“… Square, Artificial Neural Network and Support Vector Regressions for real time monitoring of CHO cell culture processes using in situ Near Infrared spectroscopy” LINK

“Phonetic versus spatial processes during motor-oriented imitations of visuo-labial and visuo-lingual speech: a functional near-infrared spectroscopy study” LINK

” The Relationship Between Genetic Variations and NIRs Differences of Eucalyptus Pellita Provenances” LINK

“Sensors : Field Detection of Rhizoctonia Root Rot in Sugar Beet by Near Infrared Spectrometry” LINK

“Use of visible-near infrared spectroscopy to predict nutrient composition of poultry excreta” LINK

“Use of Functional Near-Infrared Spectroscopy to Predict and Measure Cochlear Implant Outcomes: A Scoping Review” LINK

“Applied Sciences : Potencial Use of Near Infrared Spectroscopy (NIRS) to Categorise Chorizo Sausages from Iberian Pigs According to Several Quality Standards” LINK




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

“NearInfrared Light Responsive TiO2 for Efficient Solar Energy Utilization” LINK

“Hydration of LiOH and LiCl─ Near-Infrared Spectroscopic Analysis” LINK

“NEAR INFRARED-HYPER SPECTRAL IMAGING APPLICATIONS IN FISHERIES” LINK

“Optimization of sweet basil harvest time and cultivar characterization using near‐infrared spectroscopy, liquid and gas chromatography, and chemometric statistical …” LINK

“Fiber-based source of 500 kW mid-infrared solitons” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral Image Classification Using Factor Analysis and Convolutional Neural Networks” | LINK

“Pre-Launch Calibration of the HYPSO-1 Cubesat Hyperspectral Imager” LINK

“Potential of in-field Vis/NIR hyperspectral imaging to monitor quality parameters of alfalfa” LINK

“A comparison of machine learning algorithms for mapping soil iron parameters indicative of pedogenic processes by hyperspectral imaging of intact soil profiles” LINK

“Inversion modeling of rice canopy nitrogen content based on MPA-GA-ELM UAV hyperspectral remote sensing” LINK

“Sensors : Nondestructive Testing and Visualization of Catechin Content in Black Tea Fermentation Using Hyperspectral Imaging” LINK

“Interleaved attention convolutional compression network: An effective data mining method for the fusion system of gas sensor and hyperspectral” LINK




Chemometrics and Machine Learning

“Remote Sensing : Machine Learning Classification of Endangered Tree Species in a Tropical Submontane Forest Using WorldView-2 Multispectral Satellite Imagery and Imbalanced Dataset” LINK

“Sensors : Lightweight Anomaly Detection Scheme Using Incremental Principal Component Analysis and Support Vector Machine” LINK

“Image analysis for predicting phenolics in Arabidopsis” LINK

“Ultravioletvisual spectroscopy estimation of nitrate concentrations in surface waters via machine learning” LINK

“Near-infrared calibration models for estimating volatile fatty acids and methane production from in vitro rumen fermentation of different total mixed rations” LINK

“Foods : Tea and Chicory Extract Characterization, Classification and Authentication by Non-Targeted HPLC-UV-FLD Fingerprinting and Chemometrics” LINK




Optics for Spectroscopy

“Perovskites Enabled Highly Sensitive and Fast Photodetectors” LINK




Facts

“Tracing the aqueous alteration history between Isidis and Hellas Planitiae on Mars” LINK

“Remote Sensing : Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?” | LINK




Research on Spectroscopy

“Sustainability : Finger Millet Production in Ethiopia: Opportunities, Problem Diagnosis, Key Challenges and Recommendations for Breeding” LINK

“Foods : Online Detection of Watercore Apples by Vis/NIR Full-Transmittance Spectroscopy Coupled with ANOVA Method” LINK

“Biosensors : Reflectance Spectroscopy with Multivariate Methods for NondestructiveDiscrimination of Edible Oil Adulteration” LINK




Environment NIR-Spectroscopy Application

“Environmental assessment of soil quality indices using near infrared reflectance spectroscopy” LINK

“Remote Sensing : Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity: A Machine Learning-Based Approach” LINK




Agriculture NIR-Spectroscopy Usage

“Animals : Optimizing Near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding” LINK

“Foods : Development of Nano Soy Milk through Sensory Attributes and Consumer Acceptability” LINK

“Progression of macular atrophy in patients receiving long-term anti-VEGF therapy for age-related macular degeneration; Real Life Data” LINK

“Complexity Assessment of Chronic Pain in Elderly Knee Osteoarthritis Based on Neuroimaging Recognition Techniques” | LINK

“Integrating Genomic and Phenomic Breeding Selection Tools with Field Practices to Improve Seed Composition Quality Traits in Soybean” LINK

“Impact of Forage Diversity on Forage Productivity, Nutritive Value, Beef Cattle Performance and Enteric Methane Emissions.” LINK

“Ecological effects on the nutritional value of bromeliads, and its influence on Andean bears’ diet selection” LINK




Horticulture NIR-Spectroscopy Applications

“Correction of Temperature Variation with Independent Water Samples to Predict Soluble Solids Content of Kiwifruit Juice Using NIR Spectroscopy” Kiwi LINK




Food & Feed Industry NIR Usage

“Real-Time Detection of Rice Growth Phase Transition for Panicle Nitrogen Application Timing Assessment” LINK

“Prediction of pork meat quality parameters with existing hyperspectral devices” LINK




Pharma Industry NIR Usage

“First report of rapid, non-invasive, and reagent-free detection of malaria through the skin of patients with a beam of infrared light” LINK




Laboratory and NIR-Spectroscopy

“Yield and Quality Response of Alfalfa Varieties to High Salinity Irrigation” LINK

“Physical and Chemical Characterisation of the Pigments of a 17th-Century Mural Painting in the Spanish Caribbean” LINK




Other

“A Learned SVD approach for Inverse Problem Regularization in Diffuse Optical Tomography. (arXiv:2111.13401v1 [math.NA])” LINK

” การ วัด ปริมาณ ของแข็ง ที่ ละลาย น้า ได้ ของ เนื อ ทุเรียน พันธุ์ หมอนทอง โดย เนีย ร์ อินฟราเรด สเปก โทร ส โก ปี แบบ ออนไลน์ และ ออฟ ไลน์” LINK




Digitization in the field of NIR spectroscopy (smart sensors)

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



Spectroscopy and Chemometrics News Weekly #3, 2020

Near Infrared (NIR) Spectroscopy

“Fourier-transform near infrared spectroscopy (FT-NIRS) rapidly and non-destructively predicts daily age and growth in otoliths of juvenile red snapper Lutjanus …” LINK

“Desarrollo de Modelos NIRS de Predicción para el Análisis de la Finura de Fibras Textiles de Vicuña y Llama” LINK

“fNIRS-GANs: Data augmentation using generative adversarial networks for classifying motor tasks from functional near-infrared spectroscopy.” LINK

” Simulated NIR spectra as sensitive markers of the structure and interactions in nucleobases” LINK

“Penentuan Parameter Mutu Buah Jeruk Siam Garut Secara Nondestruktif Menggunakan Spektroskopi NIR” LINK

“Rapid non-destructive moisture content monitoring using a handheld portable Vis–NIR spectrophotometer during solar drying of mangoes (Mangifera indica L.)” LINK

“VIS-NIR wave spectrometric features of acorns (Quercus robur L.) for machine grading” LINK

“Portable NIR Spectroscopy: Affordable Technology for Developing Countries” LINK

“NIR spectroscopy used for non-destructive evaluation of the chemical composition of the investigated papers in addition to typically used standard methods.” LINK

“Feasibility study on prediction of gasoline octane number using NIR spectroscopy combined with manifold learning and neural network” LINK

“Authentication of Tokaj Wine (Hungaricum) with the Electronic Tongue and Near Infrared Spectroscopy” LINK

“Environmental advantages of visible and near infrared spectroscopy for the prediction of intact olive ripeness” LINK

“Rapid screening and quantitative analysis of adulterant Lonicerae Flos in Lonicerae Japonicae Flos by Fourier-transform near infrared spectroscopy” LINK

“Rapid analysis of soluble solid content in navel orange based on visible-near infrared spectroscopy combined with a swarm intelligence optimization method” LINK

“Establishment and relevant analysis of plant’s spectral reflectivity database in visible and near-infrared bands” LINK




Hyperspectral Imaging

“Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines” LINK

“Deep learning classifiers for hyperspectral imaging: A review” LINK

“Texture and Shape Features for Grass Weed Classification Using Hyperspectral Remote Sensing Images” LINK

“Avoiding Overfitting When Applying Spectral-Spatial Deep Learning Methods on Hyperspectral Images with Limited Labels” LINK

“Estimation Model of Winter Wheat Yield Based on Uav Hyperspectral Data” LINK




Chemometrics and Machine Learning

“Validation of near infrared spectroscopy as an age-prediction method for plastics” LINK

Whoever leads in ArtificialIntelligence in 2030 will rule the world until 2100 | fintech AI MachineLearning DeepLearning robotics LINK

“Chemical Composition of Hexene-Based Linear Low-Density Polyethylene by Infrared Spectroscopy and Chemometrics” LINK

“Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing” LINK

“DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT” LINK

“NIR reflectance spectroscopy and SIMCA for classification of crops flour” LINK




NIR Equipment

“Prediction of meat quality traits in the abattoir using portable and hand-held near-infrared spectrometers” LINK

“A Plug-and-play Hyperspectral Imaging Sensor Using Low-cost Equipment” LINK




NIR in Environment

“The use of hyperspectral remote sensing to detect PCB contaminated soils in the 0.35 to 12 micron spectral range” LINK




NIR in Agriculture

“Fast measurement of phosphates and ammonium in fermentation-like media: a feasibility study” LINK

“Detection of early decay on citrus using hyperspectral transmittance imaging technology coupled with principal component analysis and improved watershed …” LINK

“Determination of Nutritive Value of Some Feedstuffs Used in Poultry Nutrition by Near Infrared Reflectance Spectroscopy (NIRS) and Chemical Methods” LINK

“근적외선분광법을 이용한 사료용 벼의 사료가치 평가” “Evaluation of Feed Values for Whole Crop Rice Using Near Infrared Reflectance Spectroscopy” LINK

“Classification of crop flours based on protein contents using near infra-red spectroscopy and principle component analysis” LINK

“In-field detection of Alternaria solani in potato crops using hyperspectral imaging” LINK




NIR in Laboratory

“Use of Remote sensing technology to assess grapevine quality” LINK


CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 2, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical AI Application Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 2, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 2, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodel LINK


Start Calibrate

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.




Spectroscopy and Chemometrics News Weekly #48, 2019

CalibrationModel.com

“Cost comparison of DataScience, MachineLearning and Chemometrics for NIR – Spectroscopy” | NIRS analytical laboratory Lab method development SmartSensor spectrometer LabTech LabManager Analytical_Chemistry QC_QA FoodLab FoodQuality LINK

Aautomated machine learning | enables this Lab workflow with ease ��Sample -> ��measured with a NIRS spectrometer -> ��spectral data -> ⚖️ predicted with a NIRPredictor & CalibrationModel -> % quantitative results -> �� quality decision -> �� LINK

Increase Your Profit with optimized NIR Accuracy QAQC Food Feed Lab Milling Mills corn grain soybean LINK

Spectroscopy and Chemometrics News Weekly 47, 2019 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 47, 2019 | NIRS NIR Spektroskopie MachineLearning Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 47, 2019 | NIRS NIR Spettroscopia Chemiometria ML analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models 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.




Chemometrics

“Analytical and sensory data correlation to understand consumers’ grape preference” LINK

“Detection and classification of Lepeophterius salmonis (Krøyer, 1837) using Underwater Hyperspectral Imaging” LINK

“Detection and differentiation between potato (Solanum tuberosum) diseases using calibration models trained with non-imaging spectrometry data” LINK

“Model Selection in Regression – A chronological review of the major model selection methods” LINK

“Chemometric Authentication of Brazilian Coffees Based on Chemical Profiling” LINK




Near Infrared

” DEVELOPMENT AND OPTIMIZATION OF AN AUTOMATIC SYSTEM TO DETERMINE THE MOISTURE CONTENT IN SINGLE-KERNEL ROUGH RICE USING VISIBLE/NIR SPECTROSCOPY” LINK

“A combination of near infrared and mid-infrared spectroscopy to improve the determination efficiency of active components in Radix Astragali” 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

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

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

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

“Multi-block classification of Italian semolina based on Near Infrared Spectroscopy (NIR) analysis and alveographic indices” LINK

“Online Prediction of Physico-Chemical Quality Attributes of Beef Using VisibleNear-Infrared Spectroscopy and Chemometrics” foods LINK

“Bamboo activated carbon adsorption and near infrared spectroscopy prediction of heavy metal in soil” LINK






Infrared

“Antioxidant Activity of Blueberry (Vaccinium spp.) Cultivar Leaves: Differences Across the Vegetative Stage and the Application of Near Infrared Spectroscopy” LINK

“Near-infrared spectroscopy as a rapid tool for water content analysis in the partial oxidation of ethanol” LINK




Raman

“Use of terahertz-Raman spectroscopy to determine solubility of the crystalline active pharmaceutical ingredient in polymeric matrices during hot melt extrusion” LINK




Hyperspectral

“Soil fertility status assessment using hyperspectral remote sensing” LINK

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

“Detection of moisture content in peanut kernels using hyperspectral imaging technology coupled with chemometrics” LINK




Agriculture

“Development of a predictive tool for rapid assessment of soil total nitrogen in wheat-corn double cropping system with hyperspectral data” LINK




Food & Feed

“Multi-target prediction of wheat flour quality parameters with near infrared spectroscopy” LINK




Laboratory

“Cost & Price comparison of DataScience, MachineLearning and Chemometrics for NIR – Spectroscopy” NIRS analytical laboratory Lab method development SmartSensor spectrometer LabTech LabManager Analytical_Chemistry QC_QA FoodLab FoodQuality LINK

“Spatial Distortion Assessments of a Low-Cost Laboratory and Field Hyperspectral Imaging System” LINK




Other

” 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

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 Package not‑needed
€3500 – €6500 per user
Chemometric Predictor
free‑software
€1500 – €2500 per NIR device
Knowledge
included
Chemometric Training not‑needed
€1500 – €2500 per user
Chemometrician* Salary not‑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

Spectroscopy and Chemometrics News Weekly #36, 2019

CalibrationModel.com

9 Reasons why near-Infrared Spectroscopy Applications need periodic Calibration Maintenance | NIR NIRS Infrared LINK

Improve Accuracy of fast Nondestructive NIRS Measurements by Optimal Chemometric Modelling | pauto QAQC LINK

Spectroscopy and Chemometrics News Weekly 35, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer processcontrol Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Check LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 35, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie LINK

Spettroscopia e Chemiometria Weekly News 35, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodels LINK




Chemometrics

“Comparison of whole-tree wood property maps based on near-infrared spectroscopic calibrations utilizing data at different spatial resolutions” LINK

“Prediction of beef meat fatty acid composition by visible-near-infrared spectroscopy was improved by preliminary freeze-drying.” LINK

“Scalable calibration transfer without standards via dynamic time warping for near-infrared spectroscopy” LINK

“Cross components calibration transfer of NIR spectroscopy model through PCA and weighted ELM-based TrAdaBoost algorithm” LINK

“Strategies for the efficient estimation of soil organic carbon at the field scale with vis-NIR spectroscopy: Spectral libraries and spiking vs. local calibrations” LINK

“Application of Near-Infrared for Online Monitoring of Heavy Fuel Oil at Thermoelectric Power Plants. Part I: Development of Chemometric Models” LINK

“Accuracy and biases in predicting the chemical and physical traits of many types of cheeses using different visible and near-infrared spectroscopic techniques and spectrum intervals” LINK

“A Regional Legacy Soil Dataset for Prediction of Sand and Clay Content with Vis-Nir-Swir, in Southern Brazil” LINK

“Rapid prediction of atrazine sorption in soil using visible near-infrared spectroscopy” LINK

“Developing Calibration Model for Prediction of Malt Barley and Teff Genotypes Quality Traits Using Near Infrared Spectroscopy (NIRS)” LINK

” Prediction of Glycogen and Moisture Contents in Japanese Wagyu Beef by Fourier Transform Near-infrared Spectroscopy for Quality Evaluation” LINK




Near Infrared

“基于核局部保持投影的近红外光谱玉米单倍体识别研究” “Research on Identifying Maize Haploid Seeds Using Near Infrared Spectroscopy Based on Kernel Locality Preserving Projection” LINK

“种基于近红外光谱与化学计量学的绿茶快速无损鉴别方法” “Nondestructive Identification of Green Tea Based on Near Infrared Spectroscopy” LINK

“纺织品近红外光谱定性分析的一种新方法” “A New Method for Qualitative Analysis of Near Infrared Spectra of Textiles” LINK

“NIR-based Sudan I to IV and Para-Red food adulterants screening” LINK

“Evaluation of sensory and texture profile analysis properties of stored Khalal Barhi dates nondestructively using Vis/NIR spectroscopy” LINK

“Safety and quality issues in summer squashes using handheld portable NIRS sensors for real-time decision making and on-vine monitoring” LINK

“Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networks.” mosquitoes LINK

“Identification of turkey meat and processed products using near infrared spectroscopy” LINK

“Development and Testing of a Portable Soil Nitrogen Detector Based on Near-infrared Spectroscopy” LINK




Raman

” “Resonance” Raman spectroscopy with 1-nm resolution” LINK




Equipment

“Single-nanowire spectrometers” nanowire nanotechnology LINK

“Scientists Develop Smallest Spectrometer Ever, And The Applications Are Incredible” LINK




Agriculture

“Rapid Estimation of Wheat Straw Decomposition Constituents Using Near-Infrared Spectroscopy” Agronomy LINK

“Evaluating different approaches to non-destructive nitrogen status diagnosis of rice using portable RapidSCAN active canopy sensor.” LINK




Medicinal

“Effect of Reduced Point NIR Spectroscopy on Glucose Prediction Error in Human Blood Tissue” LINK