Spectroscopy and Chemometrics/Machine-Learning News Weekly #17, 2022

NIR Calibration-Model Services

Custom NIR Calibration Models development for a large list of NIR spectrometers NIRS spectroscopy spectrometer chemometrics MachineLearning DigitalTransformation miniaturization mobileDevices MobileSpectrometers NIRanalysis Laboratoires LINK

How to improve your NIRS analysis, get the free White Paper | NIR infrared ag lab QAQC QC quality measurement LINK

Spectroscopy and Chemometrics News Weekly 16, 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 16, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 16, 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)

“Penilaian Sejawat: Fast, simultaneous and contactless assessment of intact mango fruit by means of near infrared spectroscopy. AIMS Press.” | Agriculture (Gabungan Nilai).PDF LINK

“Relevance of Near infrared (NIR) spectroscopy in the determination of intrinsic Rheological properties of crude oil components from Asabor Platform, Nigeria.” LINK

“Feasibility of Near-Infrared Spectroscopy for Rapid Detection of Available Nitrogen in Vermiculite Substrates in Desert Facility Agriculture” LINK

“Establishment of a Nondestructive Analysis Method for Lignan Content in Sesame using Near Infrared Reflectance Spectroscopy” LINK

“Near Infrared Spectroscopy: A useful technique for inline monitoring of the enzyme catalyzed biosynthesis of third-generation biodiesel from waste cooking oil” LINK

“A Study on Nitrogen Concentration Detection Model of Rubber Leaf Based on Spatial-Spectral Information with NIR Hyperspectral Data” LINK

“Design and Performance of a Near-Infrared Spectroscopy Measurement System for In-Field Alfalfa Moisture Measurement” LINK

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

“Association and solubility of chlorophenols in CCl4: MIR/NIR spectroscopic and DFT study” LINK

“Prediction of rhodinol content in Java citronella oil using NIR spectroscopy in the initial stage developing a spectral smart sensor system” | LINK

“Classification of Cocoa Beans Based on Fermentation Level Using PLS-DA Combined with Visible Near-Infrared (VIS-NIR) Spectroscopy” LINK

“Carbon Footprint Reduction by Utilizing Real Time NIR Spectroscopy for RVP Measurement in Natural Gas Condensate Stabilizers” LINK

“Determination of Total Saccharide Content in Auricularia auricula Based on Near-Infrared Spectroscopy” | LINK

“Prediction of crosslink density of prevulcanised latex using NIR Spectroscopy based on combination of fractional order derivative (FOD) and variable selection …” LINK

“Determination of Acid Level (pH) and Moisture Content of Cocoa Beans at Various Fermentation Level Using Visible Near-Infrared (Vis-NIR) Spectroscopy” LINK

“Near infrared spectroscopy and machine learning classifier of crosslink density level of prevulcanized natural rubber latex” LINK

“Development of a calibration model for near infrared spectroscopy using a convolutional neural network” LINK

“Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain-computer interface” | LINK

“Hybrid motion artifact detection and correction approach for functional near-infrared spectroscopy measurements” | LINK

“Predicting Soil Organic Carbon Mineralization Rates Using δ13C, Assessed by Near-Infrared Spectroscopy, in Depth Profiles Under Permanent Grassland Along a …” | LINK

“Sensors : A Multiblock Approach to Fuse Process and Near-Infrared Sensors for On-Line Prediction of Polymer Properties” LINK




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

“Determination of Storage Period of Harvested Plums by NearInfrared Spectroscopy and Quality attributes” LINK

“Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy” LINK




Hyperspectral Imaging (HSI)

“New Zealand Honey Botanical Origin Classification with Hyperspectral Imaging” LINK

“Scanning Hyperspectral Imaging for In Situ Biogeochemical Analysis of Lake Sediment Cores: Review of Recent Developments” LINK




Chemometrics and Machine Learning

“Non-destructive near infrared spectroscopy externally validated using large number sets for creation of robust calibration models enabling prediction of apple firmness” LINK

“Foods : Predicting Satiety from the Analysis of Human Saliva Using Mid-Infrared Spectroscopy Combined with Chemometrics” LINK

“A NIR,1H-NMR, LC-MS and chemometrics pilot study on the origin of Carvedilol drug substance: a tool for discovering falsified active pharmaceutical ingredients” LINK

“Algorithm of Stability-Analysis-Based Feature Selection for NIR Calibration Transfer” LINK

“Improving TVB-N prediction in pork using portable spectroscopy with just-in-time learning model updating method” LINK

“Method Development and Validation of a Near-infrared spectroscopic method for In-line API Quantification during Fluidized Bed Granulation” LINK

“Non-destructive follow-up of ‘Jintao’kiwifruit ripening through VIS-NIR spectroscopy-individual vs. average calibration model’s predictions” LINK

“Machine Learning-Powered Models for Near-Infrared Spectrometers: Prediction of Protein in Multiple Grain Cereals” LINK

“A hybrid variable selection and modeling strategy for the determination of target compounds in different spectral datasets” LINK

“Sensors : A Data-Driven Model with Feedback Calibration Embedded Blood Pressure Estimator Using Reflective Photoplethysmography” LINK

“Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics” | LINK




Research on Spectroscopy

“Quadruple Functionalization of a Tetraphenylethylene Aromatic Scaffold with Ynamides or Tetracyanobutadienes: Synthesis and Optical Properties” LINK




Environment NIR-Spectroscopy Application

“Marriage of Heterobuckybowls with Triptycene: Molecular Waterwheels for Separating C60 and C70” LINK

“Performance of hyperspectral data in predicting and mapping zinc concentration in soil” LINK




Agriculture NIR-Spectroscopy Usage

“Study of neurophysiological responses associated with the application of magnetic fields to the brain” LINK

“PLANT DISEASE DETECTION USING IMAGE SENSORS: ASTEP TOWARDS PRECISION AGRICULTURE” LINK

“Linking long-term soil phosphorus management to microbial communities involved in nitrogen reactions” | LINK

“Bovine fecal chemistry changes with progression of Southern Cattle Tick, Rhipicephalus (Boophilus) microplus (Acari: Ixodidae) infestation” LINK

“Remote Sensing : The Accuracy of Winter Wheat Identification at Different Growth Stages Using Remote Sensing” LINK




Horticulture NIR-Spectroscopy Applications

“Accurate nondestructive prediction of soluble solids content in citrus by nearinfrared diffuse reflectance spectroscopy with characteristic variable selection” LINK




Food & Feed Industry NIR Usage

“Verifying the Geographical Origin and Authenticity of Greek Olive Oils by Means of Optical Spectroscopy and Multivariate Analysis” LINK

“Analysis of wheat flour-insect powder mixtures based on their near infrared spectra” LINK




Laboratory and NIR-Spectroscopy

“Utilization of Pollution Indices, Hyperspectral Reflectance Indices, and Data-Driven Multivariate Modelling to Assess the Bottom Sediment Quality of Lake Qaroun …” LINK

“Oxygen vacancies and defects tailored microstructural, optical and electrochemical properties of Gd doped CeO2 nanocrystalline thin films” LINK




Other

“Simultaneous removal of aromatic pollutants and nitrate at high concentrations by hypersaline denitrification: Long-term continuous experiments investigation” LINK

“Study of sub-band state formation in the optical band gap of CuGaS2 thin films by electronic excitations” LINK

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

Spectroscopy and Chemometrics/Machine-Learning News Weekly #47, 2021

NIR Calibration-Model Services

Knowledge-Based Variable Selection and Model Selection for near-infrared spectroscopy (NIRS) | PLSR PCA PCR PLS SVM LINK

Spectroscopy and Chemometrics News Weekly 46, 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 46, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 46, 2021 | 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

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Near-Infrared Spectroscopy (NIRS)

“At-line quality assurance of deep-fried instant noodles using pilot scale visible-NIR spectroscopy combined with deep-learning algorithms” LINK

“Application of near-infrared spectroscopy technology in the complex fermentation system to achieve high-efficiency production” LINK

“Near-infrared optical spectroscopy for pancreas shrinkage estimation with multi synchrosqueezing transform and multivariate regression model” | LINK

“Translating near-infrared spectroscopy from laboratory to commercial slaughterhouse: existing challenges and solutions” LINK

“Aquaphotomics for Bio-Diagnostics in Dairy : Applications of near-Infrared Spectroscopy.” LINK

“Impact of near infrared (NIR) spectroscopy and hyperspectral (HS) imaging system to predict physicochemical composition and quality attributes of meat: A review” LINK

“Identification of lactic acid bacteria and rhizobacteria by ultraviolet-visible-near infrared spectroscopy and multivariate classification” LINK

“Applied Sciences : Aquaphotomics Reveals Subtle Differences between Natural Mineral, Processed and Aged Water Using Temperature Perturbation Near-Infrared Spectroscopy” LINK

“Comparison of different processing approaches by SVM and RF on HS-MS eNose and NIR Spectrometry data for the discrimination of gasoline samples” LINK

“An Overview of Near Infrared Spectroscopy and Its Applications in the Detection of Genetically Modified Organisms” LINK

“Use of near-infrared spectroscopy with Fourier Transform (FT-NIR) to accompany the Bovine Parasitic Sadness process.” LINK

“Near-infrared Stokes spectropolarimetry as a novel local measurement method of atomic line emission in SOL and divertor plasmas” LINK

“Handheld NIRS for forage evaluation” LINK

“Detection of Profenofos in Chinese Kale, Cabbage, and Chili Spur Pepper Using Fourier Transform Near-Infrared and Fourier Transform Mid-Infrared Spectroscopies” LINK

“Determination of the Geographical Origin of Hazelnuts (Corylus avellana L.) by Near-Infrared Spectroscopy (NIR) and a Low-Level Fusion with Nuclear Magnetic …” LINK

“Foods : On-Line Real-Time Monitoring of a Rapid Enzymatic Oil Degumming Process: A Feasibility Study Using Free-Run Near-Infrared Spectroscopy” LINK

“Determination of Moisture, Fat, Carbohydrates and Protein Contents in Flour by Near Infrared Spectroscopy” LINK




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

“Nearinfrared optical spectroscopy for pancreas shrinkage estimation with multi synchrosqueezing transform and multivariate regression model” LINK

“Prospector: A mobile application for portable, high‐throughput near‐infrared spectroscopy phenotyping” LINK

“Indandioneterminated quinoidal compounds for lowbandgap small molecules with strong nearinfrared absorption: effect of conjugation length on the properties” LINK

“Chemometric approach to characterization of the selected grape seed oils based on their fatty acids composition and FTIR spectroscopy” LINK

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

“Revealing the interactions of water with cryoprotectant and protein by near− infrared spectroscopy” LINK




Raman Spectroscopy

“Silk fibroin fibers decorated with urchin-like Au/Ag nanoalloys: a flexible hygroscopic SERS sensor for monitoring of folic acid in human sweat” LINK




Hyperspectral Imaging (HSI)

“HyperMixNet: Hyperspectral Image Reconstruction With Deep Mixed Network From a Snapshot Measurement” LINK

“Hyperspectral image classification based on parallel-branch expectation-maximization attention mechanism” LINK

“Applied Sciences : Variety Identification of Chinese Walnuts Using Hyperspectral Imaging Combined with Chemometrics” LINK

“Visualization of heavy metal cadmium in lettuce leaves based on wavelet support vector machine regression model and visiblenear infrared hyperspectral imaging” LINK

“Improving the estimation accuracy of SPAD values for maize leaves by removing UAV hyperspectral image backgrounds” LINK

“Leaf water content estimation using top-of-canopy airborne hyperspectral data” LINK




Terahertz Spectroscopy

“Sensors : Terahertz Imaging for Breast Cancer Detection” LINK




Chemometrics and Machine Learning

“Comparative study of preprocessing on ATRFTIR calibration model for insitu monitoring of solution concentration in cooling crystallization” LINK

“Variable selection for near-infrared spectrum modeling based on fast nondominated sorting genetic algorithm” LINK

“Ripening assessment of ‘Ortanique'(Citrus reticulata Blanco x Citrus sinensis (L) Osbeck) on tree by SW-NIR reflectance spectroscopy-based calibration models” LINK

“Molecules : Quantification of Corn Adulteration in Wet and Dry-Processed Peaberry Ground Roasted Coffees by UVVis Spectroscopy and Chemometrics” LINK

“A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression ” | LINK

“Development of a new approach for a rapid IDENTIfication and CLASSification of uranium powders using colour, image texture and spectroscopy signatures” LINK

“Foods : Electronic Tongue as a Correlative Technique for Modeling Cattle Meat Quality and Classification of Breeds” LINK

“Digital Twin of Low Dosage Continuous Powder Blending – Artificial Neural Networks and Residence Time Distribution Models” LINK




Optics for Spectroscopy

“A new penternary semiconductor Cu2CoSn (SSe) 4 nanocrystal: a study on structural, dielectric and optical properties” | LINK




Research on Spectroscopy

“Polymers : Valorization Strategy for Leather Waste as Filler for High-Density Polyethylene Composites: Analysis of the Thermal Stability, Insulation Properties and Chromium Leaching” LINK

“Multi-method exploration of the relationship between sleep and infant neurocognitive development” LINK

“Opportunities and Limitations of Mobile Neuroimaging Technologies in Educational Neuroscience” LINK

“A Triphenylphosphonium Functionalized AIE Conjugated Macrocyclic Tetramaleimide for Mitochondrialtargeting Bioimaging” LINK




Equipment for Spectroscopy

“Evaluation of MEMS NIR Spectrometers for On-Farm Analysis of Raw Milk Composition” LINK

“Light-induced off-axis cavity-enhanced thermoelastic spectroscopy in the near-infrared for trace gas sensing” LINK

“Tunable diode laser-based two-line thermometry: a noncontact thermometer for active body temperature measurement” LINK




Environment NIR-Spectroscopy Application

“Remote Sensing : Identifying the Spectral Signatures of Invasive and Native Plant Species in Two Protected Areas of Pakistan through Field Spectroscopy” LINK




Agriculture NIR-Spectroscopy Usage

“Prediction of protein and amino acid composition and digestibility in individual feedstuffs and mixed diets for pigs using Near-infrared spectroscopy” LINK

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

“impact of donor nutritional balance on the growth and development of mesenchymal stem cells from caprine umbilical cord Wharton´s jelly” | LINK

“Biosensors : Distinguishing Amyloid -Protein in a Mouse Model of Alzheimers Disease by Label-Free Vibrational Imaging” LINK

“From RGB to NIR: Predicting of Near Infrared Reflectance From Visible Spectrum Aerial Images of Crops” LINK

“Remote Sensing : Ir-UNet: Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery” LINK




Forestry and Wood Industry NIR Usage

“Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis. (arXiv:2109.14677v1 [stat.ME])” LINK




Food & Feed Industry NIR Usage

“Study on the aqueous dispersibility of multi-walled carbon nanotubes bearing modified corn starch” | LINK

“Remote Sensing : Incorporating Multi-Scale, Spectrally Detected Nitrogen Concentrations into Assessing Nitrogen Use Efficiency for Winter Wheat Breeding Populations” LINK




Chemical Industry NIR Usage

“Polymers : Partial Polymer Blend for Fused Filament Fabrication with High Thermal Stability” LINK




Petro Industry NIR Usage

“Energy-resolved plasmonic chemistry in individual nanoreactors” | LINK




Medicinal Spectroscopy

“Measurement of Tissue Oximetry in Standing Unsedated and Sedated Horses” LINK




Other

“Structural and chemical modifications of oxides and OH generation by space weathering: Electron microscopic/spectroscopic study of hydrogen-ion-irradiated Al2O3” LINK

“Caractérisation de la composition chimique de l’espèce Aloe macra par spectrométrie proche infrarouge” LINK

“THE IMPACT OF THE ALKYL-AMMONIUM AND-PHOSPHONIUM CATIONS ON THE HYDRATION OF ORGANO-MONTMORILLONITE” LINK

“Optical and structure properties of CH3NH3PbI3 perovskite films doped with Cesium” LINK

“Cultivation and Performance Analysis of Simultaneous Partial Nitrification, ANAMMOX, and Denitratation Granular Sludge” LINK

” 近红外光谱的通用聚苯乙烯牌号在线识别方法” LINK

“Biosensors : An Optical Smartphone-Based Inspection Platform for Identification of Diseased Orchids” LINK



Spectroscopy and Chemometrics/Machine-Learning News Weekly #46, 2021ews Weekly #46, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 45, 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 45, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 45, 2021 | 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)

“Intramuscular Near-Infrared Spectroscopy for Muscle Flap Monitoring in a Porcine Model” LINK

“Avocado dehydration negatively affects the performance of visible and near-infrared spectroscopy models for dry matter prediction” LINK

“Ultraviolet/Visible and Near-Infrared Dual Spectroscopic Method for Detection and Quantification of Low-Level Malaria Parasitemia in Whole Blood” LINK

“NIR hyperspectral imaging for predicting the composition of granular food commodities” LINK

“Multi-output 1-dimensional convolutional neural networks for simultaneous prediction of different traits of fruit based on near-infrared spectroscopy” LINK

“Non-Destructive Quality Measurement for Three Varieties of Tomato Using VIS/NIR Spectroscopy. Sustainability” | LINK

“Handheld NIRS for forage evaluation” LINK

“Rapid and Nondestructive Determination of Polyacrylonitrile Molecular Weight by Fourier Transform near-Infrared (NIR) Spectroscopy” LINK

“Determination of alcohols-diesel oil by near infrared spectroscopy based on gramian angular field image coding and deep learning” LINK

“Exploring Effects of Sample Storage, Preparation, and Tissue Type on Fourier Transform-Near Infrared Spectroscopy (Ft-Nirs) Ageing Across Fish Taxa” LINK

“Near-infrared optical spectroscopy for pancreas shrinkage estimation with multi synchrosqueezing transform and multivariate regression model” | LINK

“Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience” LINK

“In Situ Determination of Cannabidiol in Hemp Oil by Near-Infrared Spectroscopy” LINK

“Rapid detection of adulteration in desiccated coconut powder: vis-NIR spectroscopy and chemometric approach” LINK

“Blood volume vs. deoxygenated NIRS signal: computational analysis of the effects muscle O2 delivery and blood volume on the NIRS signals” LINK

“Near-Infrared Spectroscopy Study of Serpentine Minerals and Assignment of the OH Group” LINK

“Identification of Microbes in Wounds via Near-Infrared Spectroscopy” LINK

“What causes differences in fracture rates of silcrete during heat treatment? A near-infrared study of water-related transformations in South African silcretes” LINK

“Correction of the moisture variation in wood NIR spectra for species identification using EPO and soft PLS2-DA” LINK

“Classification of rice based on storage time by using near infrared spectroscopy and chemometric methods” LINK




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

“Coherent Raman scattering imaging with a near-infrared achromatic metalens” LINK

“An Improved Residual Network for Pork Freshness Detection Using Near-Infrared Spectroscopy” LINK

“Distinguishing between different types of multi‐layered PET‐based backsheets of PV modules with nearinfrared spectroscopy” LINK

“Rapid Prediction Method of α-Glycosidase Inhibitory Activity of Coreopsis tinctoria Extract from Different Habitats by Near Infrared Spectroscopy” LINK

“Internal Quality Classification of Apples Based on Near Infrared Spectroscopy and Evidence Theory” LINK

“NearInfrared Photoactive Semiconductor Quantum Dots for Solar Cells” LINK




Hyperspectral Imaging (HSI)

“Application of hyperspectral imaging in the detection of aflatoxin B1 on corn seed” | LINK

“Hyperspectral Imaging Simulator and Applications for Unmanned Aerial Vehicles” LINK

“SWiVIA – Sliding window variographic image analysis for real-time assessment of heterogeneity indices in blending processes monitored with hyperspectral imaging” LINK

“Prediction of coffee aroma from single roasted coffee beans by hyperspectral imaging” LINK

“Evaluation of hyperspectral imaging to quantify perfusion changes during the modified Allen test” LINK

“Near infrared hyperspectral imaging for non-destructive determination of pH value in red delicious apple fruit during shelf life” LINK




Chemometrics and Machine Learning

“Determining tangential contact force model parameters for viscoelastic materials (apples) using a rheometer” LINK

“Physicochemical properties, content, composition and partial least squares models of A. trifoliata seeds oil” LINK

“Chemometrics and Experimental Design for the Quantification of Nitrate Salts in Nitric Acid: Near-Infrared Spectroscopy Absorption Analysis” LINK

“Evaluation and Monitoring of the API Content of a Portable Near Infrared Instrument Combined with Chemometrics Based on Fluidized Bed Mixing Process” | LINK

“Digital Twin of Low Dosage Continuous Powder Blending-Artificial Neural Networks and Residence Time Distribution Models” LINK

“Relationship Between Image Spectroscopy Spatial Resolution and Crown Level Tree Species Classification Accuracy” LINK

“An uncertainty sampling strategy based model updating method for soluble solid content and firmness prediction of apples from different years” LINK




Optics for Spectroscopy

“Leaky Mode Resonance-Induced Sensitive Ultraviolet Photodetector Composed of Graphene/Small Diameter Silicon Nanowire Array Heterojunctions” LINK




Facts

“Superiority Verification of Deep Learning in the Identification of Medicinal Plants: Taking Paris polyphylla var. yunnanensis as an Example” | LINK




Environment NIR-Spectroscopy Application

“Remote Sensing : Study on the Pretreatment of Soil Hyperspectral and Na+ Ion Data under Different Degrees of Human Activity Stress by Fractional-Order Derivatives” LINK

“Long-term effects of water stress on hyperspectral remote sensing indicators in young radiata pine” LINK

“Rapid assessment of soil water repellency indices using Vis-NIR spectroscopy and pedo-transfer functions” LINK




Agriculture NIR-Spectroscopy Usage

“Non-destructive determination of protein and amino acids concentration and their relationship with grain yield affected by different irrigation, sowing date …” LINK

“Physiological and molecular characterization of the late ripening stages in Mangifera indica cv Keitt” LINK

” Using UAV-based hyperspectral imaging and functional regression to assist in predicting grain yield and related traits in wheat under heat-related stress …” | LINK

“Crop Production Under Urbanisation: An Experimental Approach to Understand and Model Agricultural Intensification” | LINK

“Advancements in Forage Management: Grazing Horses on Cover Crops and Exploring Hand-Held Nirs Technology” LINK




Food & Feed Industry NIR Usage

“Applied Sciences : Winter Wheat Take-All Disease Index Estimation Model Based on Hyperspectral Data” LINK

“Foods : Total Fat Gravimetric Method Workflow in Portuguese Olives Using Closed-Vessel Microwave-Assisted Extraction (MAE)” LINK

“Foods : Multiple Breeds and Countries Predictions of Mineral Contents in Milk from Milk Mid-Infrared Spectrometry” LINK




Other

“Fiber and digestibility of Piatã grass in systems in integration.” LINK

“Detection of syrup adulterants in manuka and jarrah honey using HPTLC-multivariate data analysis” | LINK



Spectroscopy and Chemometrics/Machine-Learning News Weekly #42, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics/Machine-Learning News Weekly 41, 2021 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensor QA QC Testing Quality LINK

Spektroskopie und Chemometrie/Machine-Learning Neuigkeiten Wöchentlich 41, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT sensors Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria/Machine-Learning Weekly News 41, 2021 | 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)

“Development and Submission of Near Infrared Analytical Procedures Guidance for Industry” FDA LINK

“Identification prediction moisture content of Thai coconut sugar (Cocos nucifera L.) using FT-NIR spectroscopy” LINK

“Blood identification of NIR spectroscopy based on BP neural network combined with particle swarm optimization” LINK

“A preliminary study on the utilisation of near infrared spectroscopy to predict age and in vivo human metabolism” LINK

“Near-infrared guidance finalized for small molecule testing, with biologics to come” RAPS LINK

“Wavelength Selection Method for Near Infrared Spectroscopy Based on Iteratively Retains Informative Variables and Successive Projections Algorithm” LINK

“Near-infrared spectroscopy calibration strategies to predict multiple nutritional parameters of pasture species from different” LINK

” Comparison of metabolites and variety authentication of Amomum tsao-ko and Amomum paratsao-ko using GC-MS and NIR spectroscopy” LINK

“Hyperfine-Resolved Near-Infrared Spectra of H(2)(17)O” LINK

“Geographical Differentiation of Hom Mali Rice Cultivated in Different Regions of Thailand Using FTIR-ATR and NIR Spectroscopy” LINK

“Seasonal Snowpack Classification Based on Physical Properties Using Near-Infrared Proximal Hyperspectral Data” | LINK

“NIR-based sensing system for non-Invasive detection of Hemoglobin for point-of-care applications” LINK

“A promising inorganic YFeO3 pigments with high near-infrared reflectance and infrared emission” LINK

“Classification of Softwoods using Wood Extract Information and Near Infrared Spectroscopy.” LINK

“Rapid determination and origin identification of total polysaccharides contents in Schisandra chinensis by near-infrared spectroscopy” LINK

“Near-Infrared Spectroscopy Technology in Food” | LINK

“Postharvest ripeness assessment of ‘Hass’ avocado based on development of a new ripening index and Vis-NIR spectroscopy” LINK




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

“Utility of near‐infrared spectroscopy to detect the extent of lipid core plaque leading to periprocedural myocardial infarction” LINK

“Scaling up Sagebrush Chemistry with Near-Infrared Spectroscopy and Uas-Acquired Hyperspectral Imagery” LINK




Hyperspectral Imaging (HSI)

“Spatially Resolved Spectroscopic Characterization of Nanostructured Films by Hyperspectral Dark-Field Microscopy” LINK

“Visual attention-driven framework to incorporate spatial-spectral features for hyperspectral anomaly detection” LINK




Spectral Imaging

“Spectral Super-Resolution of Multispectral Images Using Spatial-Spectral Residual Attention Network” LINK




Chemometrics and Machine Learning

“Feasibility of a chromameter and chemometric techniques to discriminate pure and mixed organic and conventional red pepper powders: A pilot study” LINK

“Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage” LINK

“Applied Sciences : A Novel Principal Component Analysis Integrating Long Short-Term Memory Network and Its Application in Productivity Prediction of Cutter Suction Dredgers” LINK

“Plants : Morpho-Physiological Classification of Italian Tomato Cultivars (Solanum lycopersicum L.) According to Drought Tolerance during Vegetative and Reproductive Growth” LINK

“Automatic food and beverage authentication and adulteration detection by classification hybrid fusion” LINK

“Remote Sensing : Improving Accuracy of Herbage Yield Predictions in Perennial Ryegrass with UAV-Based Structural and Spectral Data Fusion and Machine Learning” LINK

“Estimating Fat Components of Potato Chips Using Visible and Near-Infrared Spectroscopy and a Compositional Calibration Model” LINK

“Wavelengths selection based on genetic algorithm (GA) and successive projections algorithms (SPA) combine with PLS regression for determination the soluble …” LINK

“Comparison of PLS and SVM models for soil organic matter and particle size using vis-NIR spectral libraries” LINK

“Verified the rapid evaluation of the edible safety of wild porcini mushrooms, using deep learning and PLS‐DA” LINK




Optics for Spectroscopy

“Scientists Teach AI Cameras to See Depth in Photos Better” AI Camera Depth LINK




Facts

“Deep learning accelerates super-resolution microscopy by up to ten times” | DeepLearning microscopy LINK

“Statistical Learning to Operationalize a Domain Agnostic Data Quality Scoring. (arXiv:2108.08905v1 [cs.LG])” LINK




Research on Spectroscopy

“Foods : Instrumentation for Routine Analysis of Acrylamide in French Fries: Assessing Limitations for Adoption” LINK




Process Control and NIR Sensors

“NIR spectroscopy for monitoring of the critical manufacturing steps and quality attributes of paliperidone prolonged release tablets” LINK




Environment NIR-Spectroscopy Application

“Spatial Differentiation Analysis of Water Quality in Dianchi Lake Based on GF-5 NDVI Characteristic Optimization” LINK

“Remote Sensing : Using Sentinel-2 for Simplifying Soil Sampling and Mapping: Two Case Studies in Umbria, Italy” LINK

“Sensors : Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils” LINK

“Potential of high-spectral resolution for field phenotyping in plant breeding: Application to maize under water stress” LINK




Agriculture NIR-Spectroscopy Usage

“Study the Genetic Diversity in Protein, Zinc and Iron in Germplasm Pools of Desi Type Chickpeas as Implicated in Quality Breeding” LINK

“Additives and soy detection in powder rice beverage by vibrational spectroscopy as an alternative method for quality and safety control” LINK

“Remote Sensing : Generating Up-to-Date Crop Maps Optimized for Sentinel-2 Imagery in Israel” LINK

“Fodder biomass, nutritive value, and grain yield of dual‐purpose Pearl Millet, Sorghum and Maize cultivars across different agro‐ecologies in Burkina Faso” LINK

“Agronomy : Effects of the Foliar Application of Potassium Fertilizer on the Grain Protein and Dough Quality of Wheat” LINK

“Remote Sensing : Sentinel-2 and Landsat-8 Multi-Temporal Series to Estimate Topsoil Properties on Croplands” LINK

“Sensors : Assessment of Grain Harvest Moisture Content Using Machine Learning on Smartphone Images for Optimal Harvest Timing” LINK

“Using UAV image data to monitor the effects of different nitrogen application rates on tea quality” LINK

“A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple species” LINK




Forestry and Wood Industry NIR Usage

“Teakwood Chemistry and Natural Durability” LINK




Food & Feed Industry NIR Usage

“Foods : Temporal Sensory Perceptions of Sugar-Reduced 3D Printed Chocolates” LINK

“Foods : Rapid Nondestructive Simultaneous Detection for Physicochemical Properties of Different Types of Sheep Meat Cut Using Portable Vis/NIR Reflectance Spectroscopy System” LINK

“Foods : Real-Time Gauging of the Gelling Maturity of Duck Eggs Pickled in Strong Alkaline Solutions” LINK




Chemical Industry NIR Usage

“Polymers : Drug Amorphous Solid Dispersions Based on Poly(vinyl Alcohol): Evaluating the Effect of Poly(propylene Succinate) as Plasticizer” LINK




Pharma Industry NIR Usage

” Effects of acetazolamide and furosemide on ventilation and cerebral blood volume in normocapnic and hypercapnic COPD patients” LINK




Other

“Advances, challenges and perspectives of quantum chemical approaches in molecular spectroscopy of the condensed phase” LINK

“Calidad composicional y sensorial de la carne bovina y su determinación mediante infrarrojo cercano” LINK

“Bioinspired StimuliResponsive Hydrogel with Reversible Switching and Fluorescence Behavior Served as LightControlled Soft Actuators” LINK

“Neural Efficiency in Athletes: A Systematic Review” LINK

“Tailored Chiral Copper Selenide Nanochannels for Ultrasensitive Enantioselective Recognition and Detection” LINK

“In vivo diffuse reflectance spectroscopic analysis of fatty liver with inflammation in mice” LINK

“Métodos de análise da composição química e valor nutricional de alimentos para ruminantes” LINK

“Dissociation between exercise intensity thresholds: mechanistic insights from supine exercise” 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 #33, 2020

NIR Calibration-Model Services

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

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

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

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

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




Near-Infrared Spectroscopy (NIRS)

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

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

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

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




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

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

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

“Near-infrared spectroscopy for monitoring free jejunal flap.” LINK

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

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

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

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




Raman Spectroscopy

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




Hyperspectral Imaging (HSI)

“Detecting defects on cheese using hyperspectral image analysisLINK

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

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

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




Chemometrics and Machine Learning

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

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

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




Agriculture NIR-Spectroscopy Usage

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

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

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

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

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

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

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

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




Forestry and Wood Industry NIR Usage

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




Food & Feed Industry NIR Usage

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

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

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

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




Pharma Industry NIR Usage

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




Laboratory and NIR-Spectroscopy

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




Other

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





Spectroscopy and Chemometrics News Weekly #28, 2020

NIR Calibration-Model Services

Services for professional Development of Near-Infra-Red Spectroscopy Calibration Methods | NIRS Lab testing method food LINK

Spectroscopy and Chemometrics News Weekly 27, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Analytical Chemistry ag Food Dairy Analysis Lab Labs Laboratories Laboratory IoT Sensors QA QC material testing quality safety LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 27, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 27, 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)

“NEAR-INFRARED SPECTROSCOPY AS A RAPID AND SIMULTANEOUS ASSESSMENT OF AGRICULTURAL GROUNDWATER QUALITY PARAMETERS / NEAR INFRARED SPECTROSCOPY SEBAGAI METODE CEPAT DAN SIMULTAN UNTUK PREDIKSI KUALITAS AIR TANAH LAHAN PERTANIAN” LINK

“How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?” LINK

“Assessment of Embryonic Bioactivity through Changes in the Water Structure Using Near-Infrared Spectroscopy and Imaging” LINK




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

“Applied Sciences, Vol. 10, Pages 3722: FTIR-ATR Spectroscopy Combined with Multivariate Regression Modeling as a Preliminary Approach for Carotenoids Determination in Cucurbita Spp.” LINK

“At-line Prediction of Gelatinized Starch and Fiber Fractions in Extruded Dry Dog Food Using Different Near-Infrared Spectroscopy Technologies” LINK

“Near-infrared Prediction of Edible Oil Frying Times Based on Bayesian Ridge Regression” LINK

“Estimating wood moisture by near infrared spectroscopy: Testing acquisition methods and wood surfaces qualities” LINK




Chemometrics and Machine Learning

“Determination of Loline Alkaloids and Mycelial Biomass in Endophyte-Infected Schedonorus Pratensis by Near-Infrared Spectroscopy and Chemometrics” LINK

“Quantification of extra virgin olive oil adulteration using smartphone videos.” LINK

“Discrimination of legal and illegal Cannabis spp . according to European legislation using near infrared spectroscopy and chemometrics” LINK

“A comparison of chemometrics classification tools for identification of perirenal fat in lambs.” LINK

“Simultaneous Quantitative Analysis of K + and Tl + in Serum and Drinking Water Based on UV-Vis Spectra and Chemometrics” LINK

“Combination of spectra and texture data of hyperspectral imaging for prediction and visualization of palmitic acid and oleic acid contents in lamb meat” LINK

“NIR hyperspectral imaging coupled with chemometrics for nondestructive assessment of phosphorus and potassium contents in tea leaves” LINK

“Non-destructive genotypes classification and oil content prediction using near-infrared spectroscopy and chemometric tools in soybean breeding program” LINK

“Predicting milk mid-infrared spectra from first-parity Holstein cows using a test-day mixed model with the perspective of herd management” LINK




Research on Spectroscopy

“An efficient method to quantitatively detect competitive adsorption of DNA on single-walled carbon nanotube surfaces” LINK




Equipment for Spectroscopy

“Determination of Ethanol in Alcoholic Drinks: Flow Injection Analysis with Amperometric Detection Versus Portable Raman Spectrometer” LINK

“Micro-Electro-Mechanical System Fourier Transform Infrared (MEMS FT-IR) Spectrometer Under ModulatedPulsed Light Source Excitation” LINK

“Theae nigrae folium: Comparing the analytical performance of benchtop and handheld near-infrared spectrometers” LINK




Agriculture NIR-Spectroscopy Usage

“Fermentation, Vol. 6, Pages 56: Beer Aroma and Quality Traits Assessment Using Artificial Intelligence” LINK

“Optimization of modeling conditions for near infrared measurement of protein content in milk by orthogonal array design.” LINK

“Soil organic matter in various land uses and management, and its accuracy measurement using near infrared technology” LINK

“Lettuce plant health assessment using UAV-based hyperspectral sensor and proximal sensors” LINK

“Effects of planting density on nutritive value, dry matter yield, and predicted milk yield of dairy cows from 2 brown midrib forage sorghum hybrids” LINK




Horticulture NIR-Spectroscopy Applications

“Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods” LINK

“A simple and nondestructive approach for the analysis of soluble solid content in citrus by using portable visible to near-infrared spectroscopy.” LINK




Food & Feed Industry NIR Usage

“Hyperspectral monitor on chlorophyll density in winter wheat (Triticum aestivum L.) under water stress” LINK

“Assessment of Biochemical and Seed Quality Traits in Hulless Barley Germplasm” LINK




Beverage and Drink Industry NIR Usage

“Online determination of coffee roast degree toward controlling acidity” LINK




Other

“Improvement on curing performance and morphology of E5I/TPGDA mixture in a free radical-cationic hybrid photopolymerization system” LINK

“Color analysis and detection of Fe minerals in multi-mineral mixtures from acid-alteration environments” LINK

“Growth and maturity of Longnose Skates (Raja rhina) along the North American West Coast” LINK





.

Spectroscopy and Chemometrics News Weekly #27, 2020

NIR Calibration-Model Services

Develop & Optimize NIR chemometric methods for Chemical Analysis with ease LINK

Do you want better NIRS prediction results? Use your Near-Infrared Analysis data and do recalibration adjustment LINK

Rapid development of robust quantitative methods by near-infrared spectroscopy for foodsafety precisionAg pauto LINK

Spectroscopy and Chemometrics News Weekly 26, 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 26, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 26, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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

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




Near-Infrared Spectroscopy (NIRS)

“Visible and Near-Infrared (VNIR) Hyperspectral Payload Electronics” LINK

“A Real-Time Rapid Analysis Method for the Determination of Total Alkaloids in Fritillariae Cirrhosae Bulbus by AOTF-NIR” LINK

“Feasibility of NIR spectroscopy detection of moisture content in coco-peat substrate based on the optimization characteristic variables” LINK

“Location, year, and tree age impact NIR-based postharvest prediction of dry matter concentration for 58 apple accessions” LINK

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

“The past, present, and prospective on UV-VIS-NIR skin photonics and spectroscopy-a wavelength guide.” LINK

“Vibrational coupling to hydration shell–Mechanism to performance enhancement of qualitative analysis in NIR spectroscopy of carbohydrates in aqueous environment” LINK

“Determination of metmyoglobin in cooked tan mutton using Vis/NIR hyperspectral imaging system” LINK




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

“Deflected Talbot mediated overtone spectroscopy in near-infrared as a label-free sensor on a chip.” LINK

“Discrimination of Tetrastigma hemsleyanum according to geographical origin by near-infrared spectroscopy combined with a deep learning approach.” LINK

“Prediction of qualitative characteristics of sunflower husked seed by near infrared spectroscopy.” LINK

“Simultaneous determination of antioxidant properties and total phenolic content of Siraitia grosvenorii by near infrared spectroscopy” LINK

“Multiple-depth Modeling of Soil Organic Carbon using Visible–Near Infrared Spectroscopy” LINK

“Detection of Three-component Adulteration in Camellia Oleifera Abel Seed Oil by Near Infrared Spectroscopy” LINK

“Interactions of Glycerol, Diglycerol, and Water Studied Using Attenuated Total Reflection Infrared Spectroscopy” LINK

“Feasibility of a portable, low-cost near-infrared spectrophotometer for the quality screening of omega-3 dietary supplements.” omega3 LINK

“Fast Detection Method of Antarctic Krill Meat Quality Based on Near Infrared Spectroscopy” LINK

“Determination of pectin content in orange peels by Near Infrared Hyperspectral Imaging” LINK




Raman Spectroscopy

“Raman spectroscopic signatures of carotenoids and polyenes enable label-free visualization of microbial distributions within pink biofilms” LINK




Hyperspectral Imaging (HSI)

“HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON INTELLIGENT OPTIMIZATION FEATURE SELECTION” LINK

“Discriminative Reconstruction for Hyperspectral Anomaly Detection With Spectral Learning” LINK

“Study on quality distribution characteristics of jujube canopy based on multi-angle hyperspectral polarization” LINK

“Classification of common recyclable garbage based on hyperspectral imaging and deep learning” LINK

“Based on hyperspectral polarization to build the quantitative remote sensing model of jujube in Southern Xinjiang” LINK




Chemometrics and Machine Learning

“Comparison of Individual and Integrated Inline Raman, Near-Infrared, and Mid-Infrared Spectroscopic Models to Predict the Viscosity of Micellar Liquids” LINK

“Application of chemometrics to prediction of some wheat quality factors by near‐infrared spectroscopy (NIRS)” LINK

“Optimization and comparison of models for prediction of soluble solids content in apple by online Vis/NIR transmission coupled with diameter correction method” LINK

“Simultaneous determination of goat milk adulteration with cow milk and their fat and protein contents using NIR spectroscopy and PLS algorithms” LINK




Research on Spectroscopy

“SPECTROSCOPY AS A RAPID METHOD FOR DETECTING PAPRIKA POWDER ADULTERATION” LINK




Environment NIR-Spectroscopy Application

“National-Scale Forest Soil Carbon Characterizing Using Reflectance Spectroscopy” LINK




Agriculture NIR-Spectroscopy Usage

“Surgical spectral imaging” LINK

“Effect on Splanchnic Oxygenation of Breast Milk, Fortified Breast Milk, and Formula Milk In Preterm Infants” LINK

“Hyperspectral Imaging as a Potential Online Detection Method of Microplastics” LINK

“Evaluation of partial least-squares regression with multivariate analytical figures of merit for determination of 10 pesticides in milk” LINK

“Remote Sensing, Vol. 12, Pages 1308: Machine Learning Based On-Line Prediction of Soil Organic Carbon after Removal of Soil Moisture Effect” LINK

“Detection of Nutrition and Toxic Elements in Pakistani Pepper Powders Using Laser Induced Breakdown Spectroscopy” LINK

“Effect on splanchnic oxygenation of breast milk, fortified breast milk, and formula milk in preterm infants.” LINK




Forestry and Wood Industry NIR Usage

“Linear Discriminant Analysis of spectral measurements for discrimination between healthy and diseased trees of Olea europaea L. artificially infected by Fomitiporia …” LINK




Food & Feed Industry NIR Usage

“Mid-infrared spectroscopic analysis of raw milk to predict the blood nonesterified fatty acid concentrations in dairy cows” | |(20)30351-9/fulltext LINK

“Visualization accuracy improvement of spectral quantitative analysis for meat adulteration using Gaussian distribution of regression coefficients in hyperspectral …” LINK




Other

“Machine vision detection of pests, diseases, and weeds: A review” LINK





.

Professional NIR-Spectroscopy Chemometric Data Science as a Service

CalibrationModel.com is a Professional Development of
NIR-Spectroscopic Chemometric Calibration Models as a Service.

  • With CalibrationModel.com service, NIR-models can be developed without Chemometric Software.

  • It works for nearly all desktop and mobile NIR Spectrometers.

  • The included free NIR-Predictor software allows to create instantly analysis result reports with multiple NIR-models at once without an internet connection.

  • By sending the NIR and Lab data, quantitative models are developed and optimized to be downloaded in licensed or perpetual-unlimited versions.

  • The complete calibration settings that includes the intellectual property is also available.




  • The Trial Calibration is an individually tailored ready-to-use NIR calibration file that matches your data and product with 7 days evaluation possibility (try before you buy).

    Start Trial Calibration


    NIR Calibration Model Service explained

    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