Spectroscopy and Chemometrics Machine-Learning News Weekly #31, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 30, 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 30, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 30, 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)

“Peatlands spectral data influence in global spectral modelling of soil organic carbon and total nitrogen using visible-near-infrared spectroscopy” LINK

“A NIRS Based Device for Identification of Acute Ischemic Stroke by Using a Novel Organic Dye in the Human Blood Serum” | LINK

“Interlacing the evaluation of mechanical properties of mortar cement with near-infrared spectroscopy using multivariate data analysis” LINK

“A Preliminary Study to Classify Corn Silage for High or Low Mycotoxin Contamination by Using near Infrared Spectroscopy” | LINK

“Scalable, NanometerAccurate Fabrication of AllDielectric Metasurfaces with Narrow Resonances Tunable from Near Infrared to Visible Wavelengths” LINK

“A Combined Near-Infrared and Mid-Infrared Spectroscopic Approach for the Detection and Quantification of Glycine in Human Serum” | LINK

“Sensors : Determination of Quality Parameters in Mangetout (Pisum sativum L. ssp. arvense) by Using Vis/Near-Infrared Reflectance Spectroscopy” LINK

“Study on the Effect of Apple Size Difference on Soluble Solids Content Model Based on Near-Infrared (NIR) Spectroscopy” | LINK

“Canopy VIS-NIR spectroscopy and self-learning artificial intelligence for a generalised model of predawn leaf water potential in Vitis vinifera” LINK

“Chemical composition of Andropogon gayanus cv. planaltina predicted through nirs and analyzed through wet chemistry” LINK

“A Preliminary Study to Classify Corn Silage for High or Low Mycotoxin Contamination by Using near Infrared Spectroscopy” LINK

“Model robustness in estimation of blueberry SSC using NIRS” LINK

“Non-invasive Measurement of Blood Sugar Using Near-Infrared Spectroscopy” | LINK

“Investigating the Utility of Near Infrared Reflectance (NIR) Imaging for Diabetic Retinopathy Screening” LINK

“Fourier transform near infrared spectroscopy as a tool to predict spawning status in Alaskan fishes with variable reproductive strategies” LINK

“Prediction of dry matter, carbon and ash contents and identification of Calycophyllum spruceanum (Benth) organs by Near-Infrared Spectrophotometry” LINK

“Determination of aflatoxin B1 value in corn based on Fourier transform near-infrared spectroscopy: Comparison of optimization effect of characteristic …” LINK

“Combining different pre-processing and multivariate methods for prediction of soil organic matter by near infrared spectroscopy (NIRS) in Southern Brazil” LINK

“Evaluation of coating uniformity for the digestion-aid tablets by portable near-infrared spectroscopy” LINK

“Novel strategies in near infrared spectroscopy (NIRS) and multivariate analysis (MVA) for detecting and profiling pathogens and diseases of agricultural importance.” LINK




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

“A highly efficient colloidal quantum dot imager that operates at near-infrared wavelengths” LINK

“Green tea grades identification via Fourier transform near‐infrared spectroscopy and weighted global fuzzy uncorrelated discriminant transform” LINK

“Investigation of oxygen saturation in regions of skin by near infrared spectroscopy” LINK

“Spectral variable selection for estimation of soil organic carbon content using midinfrared spectroscopy” LINK

“Plants : Uptake and Presence Evaluation of Nanoparticles in Cicer arietinum L. by Infrared Spectroscopy and Machine Learning Techniques” LINK

“Electric-field-resolved near-infrared microscopy” LINK




Raman Spectroscopy

“A comparative study based on serum SERS spectra in and on the coffee ring for high precision breast cancer detection” LINK

“Raman spectroscopy and multivariate analysis for identification and classification of pharmaceutical pain reliever tablets” LINK

“Foods : High Precisive Prediction of Aflatoxin B1 in Pressing Peanut Oil Using Raman Spectra Combined with Multivariate Data Analysis” LINK




Hyperspectral Imaging (HSI)

” Identification of pesticide residues on black tea by fluorescence hyperspectral technology combined with machine learning” LINK

“Combining hyperspectral imaging and electrochemical sensing for detection of Pseudomonas aeruginosa through pyocyanin production” LINK




Spectral Imaging

“Open-source mobile multispectral imaging system and its applications in biological sample sensing” LINK




Chemometrics and Machine Learning

“Sensors : A Model for Predicting Cervical Cancer Using Machine Learning Algorithms” LINK

“Application of miniature fiber near infrared spectroscopy combined with chemometrics in predicting antioxidant activity of Sagittaria sagittifolia L …” LINK

“Comparison of Calibration Models for Rapid Prediction of Lignin Content in Lignocellulosic Biomass Based on Infrared and Near-Infrared Spectroscopy” LINK

“Foods : Shelf-Life Prediction and Critical Value of Quality Index of Sichuan Sauerkraut Based on Kinetic Model and Principal Component Analysis” LINK




Spectroscopy

“Giorgia Stocco Rapid and non-destructive determination of Ca and P in milk using WDXRF” LINK




Facts

” A Review of Machine Learning Techniques for Identifying Weeds in Corn” LINK




Research on Spectroscopy

“Syntheses, Structures, and Properties of Coordination Polymers with 2,5-Dihydroxy-1,4-Benzoquinone and 4,4′-Bipyridyl Synthesized by In Situ Hydrolysis Method” LINK




Equipment for Spectroscopy

“Polymers : Combined Strategy of Wound Healing Using Thermo-Sensitive PNIPAAm Hydrogel and CS/PVA Membranes: Development and In-Vivo Evaluation” LINK




Future topics in Spectroscopy

“The Effect of Task Performance and Partnership on Interpersonal Brain Synchrony during Cooperation” LINK




Process Control and NIR Sensors

“Monitoring of dromedary milk clotting process by Urtica dioica extract using fluorescence, near infrared and rheology measurements” LINK




Environment NIR-Spectroscopy Application

“Remote Sensing : Combination of Hyperspectral and Machine Learning to Invert Soil Electrical Conductivity” LINK

“Sensors : Comparative Study on Recognition Models of Black-Odorous Water in Hangzhou Based on GF-2 Satellite Data” LINK




Agriculture NIR-Spectroscopy Usage

“Vis-NIR Spectroscopy and Machine Learning Methods to Diagnose Chemical Properties in Colombian Sugarcane Soils” LINK

“Nutrients : Long-Term Dietary Patterns Are Reflected in the Plasma Inflammatory Proteome of Patients with Inflammatory Bowel Disease” LINK

“Remote Sensing : Hyperspectral UAV Images at Different Altitudes for Monitoring the Leaf Nitrogen Content in Cotton Crops” LINK

“Plants : Integrated Starches and Physicochemical Characterization of Sorghum Cultivars for an Efficient and Sustainable Intercropping Model” LINK

“Remote Sensing : Estimation of Canopy Structure of Field Crops Using Sentinel-2 Bands with Vegetation Indices and Machine Learning Algorithms” LINK




Horticulture NIR-Spectroscopy Applications

“Foods : Physico-Chemical, Textural and Sensory Evaluation of Spelt Muffins Supplemented with Apple Powder Enriched with Sugar Beet Molasses” LINK




Food & Feed Industry NIR Usage

“Warming increase the N2O emissions from wheat fields but reduce the wheat yield in a rice-wheat rotation system” LINK

“Biochemical study of rapid discolouration mechanisms in bison meat” LINK

“Emerging Nondestructive Techniques for the Quality and Safety Evaluation of Pork and Beef: Recent Advances, Challenges and Future Perspectives” LINK




Pharma Industry NIR Usage

“The Conservation of Cloud Pattern-painted Boots (1800-1600 BP) Excavated in Yingpan, Xinjiang” | LINK




Other

“基于 WOS 的高光谱技术在农业方面应用的计量分析” LINK

“Modified Hybrid Strategy Integrating Online Adjustable Oil Property Characterization and Data-Driven Robust Optimization under Uncertainty: Application in Gasoline …” LINK

“Insights into the Effect of Sludge Retention Times on System Performance, Microbial Structure and Quorum Sensing in an Activated Sludge Bioreactor” | LINK

“Diclofenac Ion Hydration: Experimental and Theoretical Search for Anion Pairs” LINK

“Aort cerrahisinde derin ve ılımlı hipotermik antegrad serebral perfüzyonun nörolojik etkileri” LINK

“Vibrational spectroscopic evaluation of hydrophilic or hydrophobic properties of oxide surfaces” LINK




Spectroscopy and Chemometrics Machine-Learning News Weekly #30, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 29, 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 29, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 29, 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)

“Probing 1D convolutional neural network adapted to near-infrared spectroscopy for efficient classification of mixed fish” LINK

“Visible and Near-infrared Spectroscopy for Quality Analysis of Wine” LINK

“Impact of Freeze-Drying on the Determination of the Geographical Origin of Almonds (Prunus dulcis Mill.) by Near-Infrared (NIR) Spectroscopy” | LINK

“Research progress and the application of near-infrared spectroscopy in protein structure and molecular interaction analysis” LINK

“Faecal near-infrared reflectance spectroscopy profiling for the prediction of dietary nutritional characteristics for equines” LINK

“P48 RETROSPECTIVE POSTOPERATIVE NEAR INFRARED SPECTROSCOPY MONITORING ANALYSIS TO DETECT POTENTIAL CRITERIA TO IMPROVE …” | LINK

“Determination of aroma compounds in grape mash under conditions of tasting by on-line near-infrared spectroscopy” | LINK

“Monitoring of soybean germination process by near-infrared spectroscopy” LINK

“Shedding light on human tissue (in vivo) to predict satiation, satiety, and food intake using near infrared reflectance spectroscopy: A preliminary study” LINK

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

“Applications of near infrared spectroscopy and hyperspectral imaging techniques in anaerobic digestion of bio-wastes: A review” LINK

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

“Assessment of skin inflammation using near-infrared Raman spectroscopy combined with artificial intelligence analysis in an animal model” LINK

“Miniaturized NIR Spectroscopy in Food Analysis and Quality Control: Promises, Challenges, and Perspectives” LINK

“Polyamide (PA) 66 molding defect studied with optical coherence tomography (OCT) and near-infrared (NIR) spectroscopy” LINK

“Portable FT-NIR spectroscopic sensor for detection of chemical precursors of explosives using advanced prediction algorithms” LINK

“Rapid Determination of Cellulose and Hemicellulose Contents in Corn Stover Using Near-Infrared Spectroscopy Combined with Wavelength Selection” LINK

“Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments” | LINK

“Screening method for the rapid detection of diethylene glycol in beer based on chemometrics and portable near-infrared spectroscopy” LINK

“Fourier transform near infrared spectroscopy as a tool to predict spawning status in Alaskan fishes with variable reproductive strategies” LINK

“Assessment of Brain Function in Patients With Cognitive Impairment Based on fNIRS and Gait Analysis” | LINK

“Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments” LINK

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




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

“On the Correlation between Near Infrared Spectrum from the Sky and Weather Parameters” LINK

“HighPerformance Broadband VisibleNear Infrared Photodetector Enabled by Atomic Capping Layer” LINK




Raman Spectroscopy

“Raman Spectroscopy Applications in Grapevine: Metabolic Analysis of Plants Infected by Two Different Viruses” | LINK




Hyperspectral Imaging (HSI)

“Foods : Identification of Maize with Different Moldy Levels Based on Catalase Activity and Data Fusion of Hyperspectral Images” LINK

“Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors” | LINK




Chemometrics and Machine Learning

“Remote Sensing : A Geographically Weighted Random Forest Approach to Predict Corn Yield in the US Corn Belt” LINK

“Applications of machine learning in pine nuts classification” | LINK

“Generalized Unsupervised Clustering of Hyperspectral Images of Geological Targets in the Near Infrared” LINK

“Two-wavelength image detection of early decayed oranges by coupling spectral classification with image processing” 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

“Chemometric approach to evaluate the chemical behavior of rainwater at high altitude in Shaune Garang catchment, Western Himalaya” LINK

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

“Nondestructive detection of tomato quality based on multiregion combination model” LINK




Facts

“Remote Sensing : Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning” LINK




Research on Spectroscopy

“Diffuse optical spectroscopic method for tissue and body composition assessment” | LINK

“A Method of Soil Moisture Content Estimation at Various Soil Organic Matter Conditions Based on Soil Reflectance” LINK




Equipment for Spectroscopy

“NIRII JAggregated Pt(II)PorphyrinBased Phosphorescent Probe for TumorHypoxia Imaging” LINK




Future topics in Spectroscopy

“Near infrared techniques applied to analysis of wheat-based products: Recent advances and future trends” LINK




Environment NIR-Spectroscopy Application

“Response of bacterial communities and nitrogen-cycling genes in newly reclaimed mudflat paddy soils to nitrogen fertilizer gradients” | LINK

“Remote Sensing : Assessment of the Usefulness of Spectral Bands for the Next Generation of Sentinel-2 Satellites by Reconstruction of Missing Bands” LINK




Agriculture NIR-Spectroscopy Usage

“Agriculture : Probing Differential Metabolome Responses among Wheat Genotypes to Heat Stress Using Fourier Transform Infrared-Based Chemical Fingerprinting” LINK

“Agriculture : Detection of Rice Spikelet Flowering for Hybrid Rice Seed Production Using Hyperspectral Technique and Machine Learning” LINK

“Remote Sensing : Integrating the Textural and Spectral Information of UAV Hyperspectral Images for the Improved Estimation of Rice Aboveground Biomass” LINK

“Synthesis and physicochemical characterization of silver nanoparticles from the dye-yielding plants, Terminalia paniculata and Mallotus philippensis” | LINK

“Fabrication of Bragg Mirrors by Multilayer Inkjet Printing” LINK

“Impacts of graphitic nanofertilizers on nitrogen cycling in a sandy, agricultural soil” | LINK

“Soil microbial nitrogen-cycling gene abundances in response to crop diversification: A meta-analysis” LINK

“Towards a fast and generalized microplastic quantification method in soil using terahertz spectroscopy” LINK

“AptamerConjugated Biocompatible Nanospheres for Fluorescent ImagingGuided Hepatocellular CarcinomaTargeted Phototherapeutic Modality” LINK

“NI-Raman spectroscopy combined with BP-Adaboost neural network for adulteration detection of soybean oil in camellia oil” | LINK

“Exploring the potential of UAV hyperspectral image for estimating soil salinity: Effects of optimal band combination algorithm and random forest” LINK

“Optical Spectroscopy and Imaging in Surgical Management of Cancer Patients” LINK

“Broadband spectral photodetector based on all-amorphous ZnO/Si heterostructure incorporating Ag intermediate thin-films” LINK




Horticulture NIR-Spectroscopy Applications

“The Effect of Harvest Maturity on’Geneva 3’Kiwiberry Storability, Ripening Dynamics, and Fruit Quality” LINK

“Sensors : A Novel Hyperspectral Method to Detect Moldy Core in Apple Fruits” LINK

“Hyperspectral Detection of Sugar Content for Sugar-sweetened Apples Based on Sample Grouping and SPA Feature Selecting Methods” LINK




Food & Feed Industry NIR Usage

“Foods : Metabolomic Characterization of Pigmented and Non-Pigmented Potato Cultivars Using a Joint and Individual Variation Explained (JIVE)” LINK

“Foods : Comparison of Four Oil Extraction Methods for Sinami Fruit (Oenocarpus mapora H. Karst): Evaluating Quality, Polyphenol Content and Antioxidant Activity” LINK




Other

“Structural and spectroscopic characterization of cadmium sodium phosphate glasses doped with ytterbium for optical applications” LINK

“STRUCTURAL, OPTICAL AND MICROHARDNESS CHARACTERISATIONS OF THIOUREA-VANADYL SULFATE COMPOSITE SINGLE CRYSTALS” LINK

“Formation of organic color centers in air-suspended carbon nanotubes using vapor-phase reaction” | LINK



Spectroscopy and Chemometrics / Machine Learning News Weekly #29, 2022

NIR Calibration-Model Services

How to Develop Near-Infrared Spectroscopy Calibrations in the 21st Century? | Chemometrics LINK

Spectroscopy and Chemometrics News Weekly 28, 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 28, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 28, 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 Determination of Cellulose and Hemicellulose Contents in Corn Stover Using Near-Infrared Spectroscopy Combined with Wavelength Selection” LINK

“A Rapid Recognition Method of Auricularia Auricula Varieties based on Near-Infrared Spectral Characteristics” LINK

“Study on robust model construction method of Multi-batch Fruit Online Sorting by near-infrared spectroscopy” LINK

“Foods : Effects of Orientations and Regions on Performance of Online Soluble Solids Content Prediction Models Based on Near-Infrared Spectroscopy for Peaches” LINK

“In Vivo Near-Infrared Noninvasive Glucose Measurement and Detection in Humans” LINK

“Monitoring freshness of crayfish (Prokaryophyllus clarkii) through the combination of near-infrared spectroscopy and chemometric method” | LINK

“Identification of Five Similar Cinnamomum Wood Species Using Portable Near-Infrared Spectroscopy” LINK

“Rapid determination of urea formaldehyde resin content in wood fiber mat using near-infrared spectroscopy” LINK

“Portable/Handheld NIR sebagai Teknologi Evaluasi Mutu Bahan Pertanian secara Non-Destruktif” LINK

“Detection of Chilling Injury Symptoms of Salak Pondoh Fruit during Cold Storage with Near Infrared Spectroscopy (NIRS)” LINK

“21st International Conference on Near Infrared Spectroscopy (NIR 2023)” LINK

“A First attempt to combine NIRS and plenoptic cameras for the assessment of grasslands functional diversity and species composition” LINK

“Establishment of NIRS Model for Oil Content in Single Seed of Oil Peony” LINK

“Vis-NIR 초분광 영상을 이용한 딸기 잿빛 곰팡이 감염 조기 검출” LINK

“Effect of Biochar on Desert Soil Wind Erosion Using Sweep Model and Vis-Nir Spectroscopy Technique” LINK

“Probing 1D convolutional neural network adapted to near-infrared spectroscopy for efficient classification of mixed fish” LINK

“Agronomic characterization of anaerobic digestates with near-infrared spectroscopy” LINK

“Rapid Detection of Green Sichuan Pepper Geographic Origin Based on Near-Infrared Spectroscopy” LINK

” Identification of multiple raisins by feature fusion combined with NIR spectroscopy” LINK

“Portable FT-NIR spectroscopic sensor for detection of chemical precursors of explosives using advanced prediction algorithms” | LINK

“Research on High-throughput Crop Authenticity Identification Method Based on Near-infrared Spectroscopy and InResSpectra model” LINK

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

“Organic resources from Madagascar: Dataset of chemical and near-infrared spectroscopy measurements” | LINK

“Establishment of a rapid detection model for the sensory quality and components of Yuezhou Longjing tea using near-infrared spectroscopy” LINK

“Breed authentication in Iberian pork meat analysed in situ using Near Infrared Spectroscopy” LINK

“Canopy VIS-NIR spectroscopy and self-learning artificial intelligence for a generalised model of predawn leaf water potential in Vitis vinifera” LINK




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

“Prediction of water relaxation time using near infrared spectroscopy” LINK

“Determination of ash content in silicon dioxide filled epoxy-phenolic prepreg using near infrared spectroscopy” LINK

“Online near-infrared spectroscopy for automatic polymeric material identification” Additives LINK

“Review of near infrared hyperspectral imaging applications related to wood and wood products” LINK

“Lamb-dip saturated-absorption cavity ring-down rovibrational molecular spectroscopy in the near-infrared” LINK

“Modulation of Thermally Stable Photoluminescence in Cr3+-Based Near-Infrared Phosphors” LINK




Raman Spectroscopy

“A comparative study based on serum SERS spectra in and on the coffee ring for high precision breast cancer detection” LINK

“Foods : Recent Developments in Surface-Enhanced Raman Spectroscopy and Its Application in Food Analysis: Alcoholic Beverages as an Example” LINK

“Raman spectroscopy biochemical characterisation of bladder cancer cisplatin resistance regulated by FDFT1: a review” | LINK

“Broadband Nanoscale SurfaceEnhanced Raman Spectroscopy by Multiresonant Nanolaminate Plasmonic Nanocavities on Vertical Nanopillars” LINK




Hyperspectral Imaging (HSI)

“Mid-infrared speckle reduction technique for hyperspectral imaging” LINK

“Rapid and accurate detection of starch content in mixed sorghum by hyperspectral imaging combined with data fusion technology” LINK

” A decision fusion method based on hyperspectral imaging and electronic nose techniques for moisture content prediction in frozen-thawed pork” LINK

“A novel high-throughput hyperspectral scanner and analytical methods for predicting maize kernel composition and physical traits” LINK

“Hyperspectral imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends” LINK

“Applied Sciences : Hyperspectral Identification of Ginseng Growth Years and Spectral Importance Analysis Based on Random Forest” LINK

“Nondestructive detection of anthocyanin content in fresh leaves of purple maize using hyperspectral data” LINK

“Application of Principal Component Analysis to Hyperspectral Data for Potassium Concentration Classification on Peach leaves” LINK




Chemometrics and Machine Learning

“Aberrant brain network and eye gaze patterns during natural social interaction predict multi-domain social-cognitive behaviors in girls with fragile X syndrome” | LINK

“Agronomy : Tomato Comprehensive Quality Evaluation and Irrigation Mode Optimization with Biogas Slurry Based on the Combined Evaluation Model” LINK

“Comparison of polynomial and machine learning regression models to predict LDPE, PET, and ABS concentrations in beach sediment based on spectral …” LINK

“Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent Literature” openaccess MachineLearning DeepLearning LINK

” NIR Validation and Calibration of Van Soest cell wall constituents (ADF, NDF, and ADL) of Available Corn Silage in Bangladesh” LINK

“Sensors : Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data” LINK

“Applied Sciences : Prediction of Soil Shear Strength Parameters Using Combined Data and Different Machine Learning Models” LINK

“Prediction and visualization of fat content in polythene-packed meat using near-infrared hyperspectral imaging and chemometrics” LINK

“Comparison of Spectroscopy-Based Methods and Chemometrics to Confirm Classification of Specialty Coffees” LINK

“Proximal sensor data fusion and auxiliary information for tropical soil property prediction: Soil texture” LINK




Environment NIR-Spectroscopy Application

“Comparison of natural and technogenic soils developed on volcanic ash by Vis-NIR spectroscopy” LINK

“Soils of the World ” LINK

“Remote Sensing : Estimation of Pb Content Using Reflectance Spectroscopy in Farmland Soil Near Metal Mines, Central China” LINK




Agriculture NIR-Spectroscopy Usage

“Agriculture : Tea Category Identification Using Wavelet Signal Reconstruction of Hyperspectral Imagery and Machine Learning” LINK

“Plants : Decontamination and Germination of Buckwheat Grains upon Treatment with Oxygen Plasma Glow and Afterglow” LINK

“Near-infrared hyperspectral imaging evaluation of Fusarium damage and DON in single wheat kernels” LINK

“Spectral Indices for Imaging Diesel and Gasoline Polluted Soils Derived from Close-Range Hyperspectral Data” LINK

“Molecular Spectroscopy Market Size is projected to reach USD 3.85 Billion by 2030, growing at a CAGR of 4.28%: Straits Research” LINK

“Remote Sensing : Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning” LINK

“Prediction of milk protein content based on improved sparrow search algorithm and optimized back propagation neural network” | LINK

“Technological Innovations for the Management of Insect-Pests in Stored Grains” | LINK

“Current progress on innovative pest detection techniques for stored cereal grains and thereof powders” FoodSecurity LINK

“Determination of Forage Quality by Near-Infrared Reflectance Spectroscopy in Sweet Sorghum (Sorghum bicolor var. saccharatum (L.) Mohlenbr.)” LINK

“Analysis of Protein Denaturation, and Chemical Visualization, of Frozen Grass Carp Surimi Containing Soluble Soybean Polysaccharides” LINK

“Remote Sensing : Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data” LINK




Horticulture NIR-Spectroscopy Applications

“Development of portable nondestructive detection device for mango internal Diseases fruits NonDestructive Testing LINK

“Global model for in-field monitoring of sugar content and color of melon pulp with comparative regression approach” | LINK




Food & Feed Industry NIR Usage

“Foods : Saponification Value of Fats and Oils as Determined from 1H-NMR Data: The Case of Dairy Fats” LINK




Pharma Industry NIR Usage

“Pharmaceutical tablet compression: measuring temporal and radial concentration profiles to better assess segregation” LINK




Medicinal Spectroscopy

“Evaluation of the Effect of Del Nido and Cold Blood Cardioplegia on Renal Functions in the Surgery of Congenital Heart Diseases” LINK




Other

“近赤外分光法を用いた脂質研究の動向と将来展望” LINK

“Minerals : Fluid Inclusion and Chemical Composition Characteristics of Emeralds from Rajasthan Area, India” LINK

“On-chip complex refractive index detection at multiple wavelengths for selective sensing” | LINK

LINK

“Hranidbena vrijednost kukuruznih silaža Sisačko-moslavačke županije” LINK

“Vibrational spectroscopic evaluation of hydrophilic or hydrophobic properties of oxide surfaces” LINK

“Controlled Synthesis, Spectral Studies, and Catalytic Activity of Silver and Gold Nanoparticles Biosynthesized Using Ficus sycomorus Leaf Extract” | LINK




Spectroscopy and Chemometrics/Machine-Learning News Weekly #22, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 21, 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 21, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 21, 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)

“NIRSCAM: A Mobile Near-Infrared Sensing System for Food Calorie Estimation” LINK

“Nutritional Components of Beverage Granules by Near-Infrared Spectroscopy Based on PLS Model” | LINK

“A new concept of acousto-optic tunable filter-based near-infrared hyperspectral imager for planetary surface exploration” LINK

“Supplementary Materials Determination of the Geographical Origin of Walnuts (Juglans regia L.) Using Near-Infrared Spectroscopy and Chemometrics” LINK

“Characteristic wavelengths optimization improved the predictive performance of near-infrared spectroscopy models for determination of aflatoxin B1 in maize” LINK

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

“Molecules : Identification of Stingless Bee Honey Adulteration Using Visible-Near Infrared Spectroscopy Combined with Aquaphotomics” LINK

“A review of visible and near-infrared (Vis-NIR) spectroscopy application in plant stress detection” LINK

“Predicting the performance of handheld near-infrared photonic sensors from a master benchtop device” LINK

“A novel handheld FT-NIR spectroscopic approach for real-time screening of major cannabinoids content in hemp” LINK

“Chemometric studies of hops degradation at different storage forms using UV-Vis, NIRS and UPLC analyses” LINK

“Comparison of VIS/NIR spectral curves plus RGB images with hyperspectral images for the identification of Pterocarpus species” | LINK

“Etruscan Fine Ware Pottery: Near-Infrared (NIR) Spectroscopy as a Tool for the Investigation of Clay Firing Temperature and Atmosphere” LINK

“Penilaian Sejawat: Fast and contactless assessment of intact mango fruit quality attributes using near infrared spectroscopy (NIRS). IOP EES.” | EES Mango Kusumiyati (Gabungan).pdf LINK

“Segregation of ‘Hayward’kiwifruit for storage potential using Vis-NIR spectroscopy” LINK

“Portable Near-Infrared Spectroscopy as a Screening Test of Corrosive Solutions Concealed in Plastic Containers” | LINK

“General model of multi-quality detection for apple from different origins by Vis/NIR transmittance spectroscopy” | LINK

“Analytical Chemistry Strategies in the Use of Miniaturised NIR Instruments: An Overview” LINK

“Application of near-infrared spectroscopy to agriculture and forestry” | LINK




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

“NearInfrared LightDriven ThreeDimensional Soft Photonic Crystals Loaded with Upconversion Nanoparticles” LINK

“Gaming behavior and brain activation using functional nearinfrared spectroscopy, Iowa gambling task, and machine learning techniques” LINK

“Metaheuristic algorithms in visible and near infrared spectra to detect excess nitrogen content in tomato plants” LINK




Hyperspectral Imaging (HSI)

“Non-destructive age estimation of biological fluid stains: An integrated analytical strategy based on near-infrared hyperspectral imaging and multivariate regression” LINK

“Prediction of peroxidase activity using near infrared hyperspectral imaging in red delicious apple fruit during storage time” LINK

“Remote Sensing : Detection of Apple Valsa Canker Based on Hyperspectral Imaging” LINK




Spectral Imaging

“Sensors : Sugarcane Nitrogen Concentration and Irrigation Level Prediction Based on UAV Multispectral Imagery” LINK




Chemometrics and Machine Learning

“PENGEMBANGAN MODEL PARTIAL LEAST SQUARE REGRESSION (PLSR) UNTUK MEMPREDIKSI KEASAMAN (pH) DAN KADAR AIR BIJI KAKAO (Theobroma …” LINK

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

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

“Sensors : Accuracy and Reproducibility of Laboratory Diffuse Reflectance Measurements with Portable VNIR and MIR Spectrometers for Predictive Soil Organic Carbon Modeling” LINK

“Coatings : Nondestructive Evaluation of Thermal Barrier Coatings Thickness Using Terahertz Technique Combined with PCA-GA-ELM Algorithm” LINK

“Prediction of topsoil organic carbon content with Sentinel-2 imagery and spectroscopic measurements under different conditions using an ensemble model approach …” LINK




Optics for Spectroscopy

“Artificial Intelligence in Classical and Quantum Photonics” LINK




Research on Spectroscopy

” A dataset for spectral radiative properties of black poly (methyl methacrylate)” LINK




Process Control and NIR Sensors

“Pharmaceutics : Tailoring Rational Manufacturing of Extemporaneous Compounding Oral Dosage Formulations with a Low Dose of Minoxidil” LINK




Environment NIR-Spectroscopy Application

“Polymers : Antioxidant and Anti-Aging Activity of Freeze-Dried Alcohol-Water Extracts from Common Nettle (Urtica dioica L.) and Peppermint (Mentha piperita L.) in Elastomer Vulcanizates” LINK

“Particle densities of cultivated south greenlandic soils can be explained by a threecompartment model, pedotransfer functions, and a visNIR spectroscopy model” LINK




Agriculture NIR-Spectroscopy Usage

“Influence of ingredient quality and diet formulation on amino acid digestibility and growth performance of poultry and swine” LINK

“Guidelines for Optimal Use of NIRSC Forage and Feed Calibrations in Membership Laboratories” LINK

“Linear Support Vector Machine Classification of Plant Stress From Soybean Aphid (Hemiptera: Aphididae) Using Hyperspectral Reflectance” LINK

“Goat milk authentication by one-class classification of digital image-based fingerprint signatures: detection of adulteration with cow milk” LINK

“Agronomy : Crop Monitoring Strategy Based on Remote Sensing Data (Sentinel-2 and Planet), Study Case in a Rice Field after Applying Glycinebetaine” LINK

“Estimation of Vertisols Soil Nutrients by Hyperion Satellite Data: Case Study in Deccan Plateau of India” | LINK

“Real-time milk analysis integrated with stacking ensemble learning as a tool for the daily prediction of cheese-making traits in Holstein cattle” LINK

“The effect of nitrogen fertility rate and seeding rate on yield, nutritive value and economics of forage corn in a low corn heat unit region of Western Canada” LINK




Food & Feed Industry NIR Usage

“Near-infrared techniques for fraud detection in dairy products: A review” | LINK




Laboratory and NIR-Spectroscopy

“Digital technologies to assess yoghurt quality traits and consumers acceptability” LINK




Other

“Tantalum – 2D Light Transport” | optics physically simulation spectroscopy spectrum prism lens mirror light lighttransport multiple scattering LINK

“Characterizing tourniquet induced hemodynamics during total knee arthroplasty using diffuse optical spectroscopy” LINK





.

Spectroscopy and Chemometrics/Machine-Learning News Weekly #52, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 51, 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 51, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 51, 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)

“Quantitative analysis of blend uniformity within a Three-Chamber feed frame using simultaneously Raman and Near-Infrared spectroscopy” LINK

“Near-Infrared Spectroscopy: A New Diagnostic Tool for Determination of Somatic Cell Count” LINK

“Estrus Detection in Dairy Cows Using Near-Infrared Spectroscopy and Aquaphotomics” | LINK

“Development and Validation of Near-Infrared Methods for the Quantitation of Caffeine, Epigallocatechin-3-gallate, and Moisture in Green Tea Production” LINK

“Application of NIR spectroscopy for rapid quantification of acid and peroxide in crude peanut oil coupled multivariate analysis” LINK

“Sensors : Development of an Integrated EEG/fNIRS Brain Function Monitoring System” LINK

“Rapid quality evaluation of Plantaginis Semen by near infrared spectroscopy combined with chemometrics” LINK

“Classification of Browning on Intact Table Grape Bunches Using Near-Infrared Spectroscopy Coupled With Partial Least Squares-Discriminant Analysis and Artificial Neural Networks” | LINK

“Applied Sciences : Plasmon Resonant Two-Photon Luminescence Inducing Photosensitization and Nonlinear Optical Microscopy In Vivo by Near-Infrared Excitation of Au Nanopeanuts” LINK

“Foods : Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments” LINK

“Applied Sciences : Non-Destructive Detection of Asymptomatic Ganoderma boninense Infection of Oil Palm Seedlings Using NIR-Hyperspectral Data and Support Vector Machine” LINK




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

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




Hyperspectral Imaging (HSI)

“Examination of Wheat Kernels for the Presence of Fusarium Damage and Mycotoxins using Near-Infrared Hyperspectral Imaging” LINK




Chemometrics and Machine Learning

“Measurement of Somatic Cell Count in the 700-1,100 nm Short Wavelength Region Using PLS Regression and Referenced Data” LINK

“ChemHouse: A research and development centre for chemometrics” LINK

“Dehydration as a Tool to improve predictability of sugarcane juice carbohydrates using near-infrared spectroscopy based PLS models” LINK

“European fingerprint study on omeprazole drug substances using a multi analytical approach and chemometrics as a tool for the discrimination of manufacturing …” LINK

“Chemometric analysis in Raman spectroscopy from experimental design to machine learning-based modeling” LINK




Research on Spectroscopy

“Applied Sciences : A Rapid Method for the Determination of SBS Content Based on the Principle of Orthogonal Testing” LINK




Process Control and NIR Sensors

“Tri-functional SERS nanoplatform with tunable plasmonic property for synergistic antibacterial activity and antibacterial process monitoring” LINK




Environment NIR-Spectroscopy Application

“The costeffectiveness of reflectance spectroscopy for estimating soil organic carbon” LINK

“ESTIMATING SOIL CHEMICAL PROPERTIES BY DIFFUSE REFLECTANCE SPECTROSCOPY: PROMISE VERSUS REALITY” LINK




Agriculture NIR-Spectroscopy Usage

“Milk Fat Measurement” | LINK

“Aquaphotomics for Bio-diagnostics: Advancing Beyond the State of the Art” | LINK

“Artificial Neural Network Applied to Near-Infrared Spectra of Raw Milk for Dairy Cow Feeding Management” LINK

“Mastitis Influence on Milk Composition Measurement in the Spectral Region from 1,100 to 2,400 nm” | LINK

“Milk Fatty Acids Measurement” | LINK

“Mastitis Influence on Protein Measurement in the Spectral Region from 700 to 1,100 nm” | LINK

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

“Remote Sensing : Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer” LINK

“Symmetric and asymmetric overgrowth of a Ag shell onto gold nanorods assisted by Pt pre-deposition” LINK




Food & Feed Industry NIR Usage

“Foods : Sensory Attributes of Buckwheat Jelly (Memilmuk) with Mung Bean Starch Added to Improve Texture and Taste” 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



NIR Analysis in Laboratory and Laboratories – aka NIR Labs and NIR testing


Do you have a NIR spectrometer in your Lab?

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

Is this possible and precise enough?

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

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

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

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

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

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

How do you think?

Start Calibrate


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

Spectroscopy and Chemometrics News Weekly #11, 2020

CalibrationModel.com

How to Develop Near-Infrared Spectroscopy Calibrations in the 21st Century? | Chemometrics Analytische Chemie LINK

Simplify the process of training machine learning models for NIR spectra data with applied near-infrared spectroscopy (NIRS) knowledge. quantitative multivariate prediction equations LINK

Spectroscopy and Chemometrics News Weekly 10, 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 10, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 10, 2020 | NIRS NIR Spettroscopia analisi chimica Spettrale Spettrometro IoT Sensore Attrezzatura analitica nearinfrared foodscience foodprocessing foodsafety foodproduction farming agriculture LINK




Near Infrared

“Klasifikasi Kopi Green Beans Arabika Sumatera Utara Menggunakan FT-Nirs dan Analisis Diskriminan” LINK

“APLIKASI NEAR INFRARED SPECTROSCOPY (NIRS) UNTUK MENGETAHUI KANDUNGAN HARA NITROGEN FOSFOR DAN KALIUM PADA INSTALASI …” LINK

” Identification of common wood species in northeast China using Vis/NIR spectroscopy” LINK

“Efficient Super Broadband NIR Ca2LuZr2Al3O12:Cr3+,Yb3+ Garnet Phosphor for pc‐LED Light Source toward NIR Spectroscopy Applications” LINK

“Performance comparison of sampling designs for quality and safety control of raw materials in bulk: a simulation study based on NIR spectral data and geostatistical …” LINK

“Prediction of drug dissolution from Toremifene 80 mg tablets using NIR spectroscopy” LINK

“Nearinfrared spectroscopy (NIRS) for taxonomic entomology: A brief review” LINK

“Determination of tomato quality attributes using portable NIR-sensors” LINK

“Exploring the potential of NIR hyperspectral imaging for automated quantification of rind amount in grated Parmigiano Reggiano cheese” LINK

“Rapid detection of adulteration of minced beef using Vis/NIR reflectance spectroscopy with multivariate methods.” LINK

“Evaluation of quinclorac toxicity and alleviation by salicylic acid in rice seedlings using ground-based visible/near-infrared hyperspectral imaging.” LINK

“An optimized non-invasive glucose sensing based on scattering and absorption separating using near-infrared spectroscopy” LINK

“Identification of waxy cassava genotypes using fourier‐transform near‐infrared spectroscopy” LINK

“Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy” LINK

“Near-infrared-based Identification of Walnut Oil Authenticity” LINK

“Detection of flaxseed oil multiple adulteration by near-infrared spectroscopy and nonlinear one class partial least squares discriminant analysis” LINK

“Application research of sensor output digitization for compact near infrared IOT node” LINK

“Refining Transfer Set in Calibration Transfer of Near Infrared Spectra by Backward Refinement of Samples” LINK

“Highly identification of keemun black tea rank based on cognitive spectroscopy: Near infrared spectroscopy combined with feature variable selection” LINK

“Optimizing Rice Near-Infrared Models Using Fractional Order SavitzkyGolay Derivation (FOSGD) Combined with Competitive Adaptive Reweighted Sampling (CARS)” LINK

“Fourier transform near infrared spectroscopy as a tool to discriminate olive wastes: The case of monocultivar pomaces.” LINK

“Evaluation of quinclorac toxicity and alleviation by salicylic acid in rice seedlings using ground-based visible/near-infrared hyperspectral imaging” LINK

“Near Infrared Spectrometric Investigations on the behaviour of Lactate.” LINK

“Nondestructive rapid and quantitative analysis for the curing process of silicone resin by nearinfrared spectra” LINK

“An introduction to handheld infrared and Raman instrumentation” LINK




Hyperspectral

“Hyperspectral anomaly detection by local joint subspace process and support vector machine” LINK

“Assessment of matcha sensory quality using hyperspectral microscope imaging technology” LINK




Chemometrics

“Application of Infrared Spectroscopy and Chemometrics to the Cocoa Industry for Fast Composition Analysis and Fraud Detection” LINK

“Calibration models for the nutritional quality of fresh pastures by nearinfrared reflectance spectroscopy” LINK

“Achieving robustness to temperature change of a NIRS-PLSR model for intact mango fruit dry matter content” LINK

“Application of hyperspectral imaging combined with chemometrics for the non-destructive evaluation of the quality of fruit in postharvest” LINK




Equipment

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

“MEMS technology for fabricating plasmonic near-infrared spectrometers” LINK

“Sensors, Vol. 20, Pages 545: Development of Low-Cost Portable Spectrometers for Detection of Wood Defects” LINK




Environment

“Classification of Granite Soils and Prediction of Soil Water Content Using Hyperspectral Visible and Near-Infrared Imaging” LINK

“Determining mandatory nutritional parameters for Iberian meat products using a new method based on near infra-red reflectance spectroscopy and data mining” LINK




Agriculture

“Instrumental Procedures for the Evaluation of Juiciness in Peach and Nectarine Cultivars for Fresh Consumption” LINK

“The creation of the FT-NIR calibration for the determination of the amount of corn grain in concentrated feed” LINK

In this 9th clip from his presentation at the 2019 IFS Agronomic Conference, Wouter Saeys explains which type of NIR is best for measuring the nutrient content of manure, and why. Info on this paper is here; it’s free for Society Members to download: LINK

“Remote Sensing, Vol. 12, Pages 928: Machine Learning Algorithms to Predict Forage Nutritive Value of In Situ Perennial Ryegrass Plants Using Hyperspectral Canopy Reflectance Data” LINK

“Development of a Method To Prioritize Protein-Ligand Pairs on Beads Using Protein Conjugated to a Near-IR Dye.” LINK

“Agronomy, Vol. 10, Pages 148: Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes” LINK

“Investigation of a Medical Plant for Hepatic Diseases with Secoiridoids Using HPLC and FT-IR Spectroscopy for a Case of Gentiana rigescens” LINK




Food & Feed

“Comparison of sensory evaluation techniques for Hungarian wines” LINK




Laboratory

“Roadmap of cocoa quality and authenticity control in the industry: A review of conventional and alternative methods” 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 #46, 2019

CalibrationModel.com

Use Calibration Model for your customized NIR Applications. Start Optimizing now! | NIRS Spectroscopy QAQC quality LINK

Pro Tip: NIR Calibration is the Key to Accurate NIRS Measurement LINK

Spectroscopy and Chemometrics News Weekly 45, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Analysis Lab Labs Laboratories Laboratory Sensors QA QC Testing Quality Checking MachineLearning ML Software LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 45, 2019 | NIRS NIR Spektroskopie Spektrometer Sensor Nahinfrarot Analytik Lab Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse laboratoryequipment ML Software LINK

Spettroscopia e Chemiometria Weekly News 45, 2019 | NIRS NIR Spettroscopia Chemiometria 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-analyzer. Check out their product page … link

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




Chemometrics

“Comparison of Multivariate Regression Models Based on Water- and Carbohydrate-Related Spectral Regions in the Near-Infrared for Aqueous Solutions of Glucose.” LINK

” PREDICTION OF SOIL PCBs CONTENT IN A HISTORICALLY CONTAMINATED SITE OF THE SIN OF TARANTO (SOUTHERN ITALY)” LINK

“Robust Fourier transformed infrared spectroscopy coupled with multivariate methods for detection and quantification of urea adulteration in fresh milk samples” LINK

“Comparative Analysis of Non-Destructive Prediction Model of Soluble Solids Content for Malus micromalus Makino Based on Near-Infrared Spectroscopy” LINK

“Determination of SSC in pears by establishing the multi-cultivar models based on visible-NIR spectroscopy” LINK

“Chemometrics-assisted calibration transfer strategy for determination of three agrochemicals in environmental samples: Solving signal variation and maintaining second-order advantage” LINK

“Semi-Supervised Learning in Multivariate Calibration” LINK

“Assessing heavy metal concentrations in earth-cumulic-orthic-anthrosols soils using Vis-NIR spectroscopy transform coupled with chemometrics.” LINK




Near Infrared

“以近紅外光技術量測葡萄之花青素含量” “Evaluation of Anthocyanin Contents in Grapes Using NIR Spectroscopy” LINK




Infrared

“Improvement of proximate data and calorific value assessment of bamboo through near infrared wood chips acquisition” LINK

“Effect of peeling and point of spectral recording on sucrose determination in sugar beet root using near infrared spectroscopy” sugarbeet LINK




Raman

“Raman Spectral Analysis for Non-invasive Detection of External and Internal Parameters of Fake Eggs” LINK




Hyperspectral

“Investigation into crystal size effect on sodium chloride uptake and water activity of pork meat using hyperspectral imaging” LINK

“Detection of the Chemical Agents Based on Hyperspectral Data Analysis” LINK




Agriculture

“Performance of optimized hyperspectral reflectance indices and partial least squares regression for estimating the chlorophyll fluorescence and grain yield of wheat …” LINK

“Prediction of Soil Nutrient Contents Using Visible and Near-Infrared Reflectance Spectroscopy” LINK

“Detection of viability of soybean seed based on fluorescence hyperspectra and CARS-SVM-AdaBoost model” LINK




Other

“Laser irradiation behavior of plasma-sprayed tantalum oxide coatings” LINK

“On the Way to Efficient Analytical Measurements: The Future of Robot-Based Measurements” LINK

“Identification of Cannabis sativa L. (hemp) Retailers by Means of Multivariate Analysis of Cannabinoids” LINK

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