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

NIR Calibration-Model Services

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

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

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

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

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

Near-Infrared Spectroscopy (NIRS)

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

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

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

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

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

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

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

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

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

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

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

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

Raman Spectroscopy

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

Hyperspectral Imaging (HSI)

"Detecting defects on cheese using hyperspectral image analysisLINK

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

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

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

Chemometrics and Machine Learning

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

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

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

Agriculture NIR-Spectroscopy Usage

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

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

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

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

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

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

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

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

Forestry and Wood Industry NIR Usage

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

Food & Feed Industry NIR Usage

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

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

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

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

Pharma Industry NIR Usage

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

Laboratory and NIR-Spectroscopy

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

Other

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

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Raman Spectroscopy

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

Hyperspectral Imaging (HSI)

Chemometrics and Machine Learning

Agriculture NIR-Spectroscopy Usage

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

Pharma Industry NIR Usage

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

Laboratory and NIR-Spectroscopy

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

Other

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

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Raman Spectroscopy

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

Hyperspectral Imaging (HSI)

Chemometrics and Machine Learning

Agriculture NIR-Spectroscopy Usage

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

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

July 27, 2020

Spectroscopy and Chemometrics News Weekly #30, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #30, 2020Spettroscopia e Chemiometria Weekly News #30, 2020

NIR Calibration-Model Services

Development of quantitative Multivariate Prediction Models for Near Infrared Spectrometers | NIRS HSI LINK

Spectroscopy and Chemometrics News Weekly 29, 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 29, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 29, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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

Near-Infrared Spectroscopy (NIRS)

"Non-Destructive Determination of Quality Traits of Cashew Apples (Anacardium Occidentale, L.) Using a Portable near Infrared Spectrophotometer" LINK

"Non-destructive classification and prediction of aflatoxin-B1 concentration in maize kernels using Vis–NIR (400–1000 nm) hyperspectral imaging" LINK

"Determination of glucose content with a concentration within the physiological range by FT-NIR spectroscopy in a trans-reflectance mode" LINK

"Evaluating taste-related attributes of black tea by micro-NIRS" LINK

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

"Rapid authentication of Pseudostellaria heterophylla (Taizishen) from different regions by nearinfrared spectroscopy combined with chemometric methods" LINK

"Agronomy, Vol. 10, Pages 828: Estimating Sensory Properties with Near-Infrared Spectroscopy: A Tool for Quality Control and Breeding of Calçots (Allium cepa L.)" LINK

"Spectral observation of agarwood by infrared spectroscopy: The differences of infected and normal Aquilaria microcarpa" LINK

"Quantitative near infrared spectroscopic analysis of Tricholoma matsutake based on information extraction using the elastic net" LINK

"Visible-near infrared spectroscopy for detection of blood in sheep faeces" LINK

" … dans le proche infrarouge et techniques de chimiométrie Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques" LINK

"Forests, Vol. 11, Pages 644: A Comparison of the Loading Direction for Bending Strength with Different Wood Measurement Surfaces Using Near-Infrared Spectroscopy" LINK

"Rapid assessment of soil condition in Kenya through development of near infrared spectral indicatators" LINK

Chemometrics and Machine Learning

"Determination of apple varieties by near infrared reflectance spectroscopy coupled with improved possibilistic Gath–Geva clustering algorithm" LINK

"Two-Dimensional Correlation Spectroscopy: The Power of Power Spectra" LINK

"Simple and fast spectrophotometric method based on chemometrics for the measurement of multicomponent adsorption kinetics" LINK

"Real time detection of amphetamine in oral fluids by MicroNIR/Chemometrics." LINK

"In‐vitro digestion of the bioactives originating from the Lamiaceae family herbal teas: A kinetic and PLS modeling study" LINK

"Models for predicting the within-tree and regional variation of tracheid length and width for plantation loblolly pine" LINK

Research on Spectroscopy

"Study on rapid quality analysis method of Shengxuebao Mixture" LINK

"MD dating: molecular decay (MD) in pinewood as a dating method" LINK

Altersbestimmung von Holz mittels FTIR-Spektroskopie: Durch die Zusammenarbeit von Holz-, Materialwissenschaftler*innen und Statistikern konnte nach über 70 Jahren eine dritte Datierungsmethode neben der Jahrringanalyse und der Radiokarbonmethode im… LINK

Equipment for Spectroscopy

"Quality assessment of instant green tea using portable NIR spectrometer." LINK

Process Control and NIR Sensors

"From powder to tablets: Investigation of residence time distributions in a continuous manufacturing process train as basis for continuous process verification" LINK

"Non-destructive, non-invasive, in-line real-time phase-based reflectance for quality monitoring of fruit" LINK

Agriculture NIR-Spectroscopy Usage

"Estimating soil organic carbon density in Northern China's agro-pastoral ecotone using vis-NIR spectroscopy" LINK

"Retrieval of aboveground crop nitrogen content with a hybrid machine learning method" LINK

"Prediction of Soil Oxalate Phosphorus using Visible and Near-Infrared Spectroscopy in Natural and Cultivated System Soils of Madagascar" LINK

"Sensors, Vol. 20, Pages 3208: Precise Estimation of NDVI with a Simple NIR Sensitive RGB Camera and Machine Learning Methods for Corn Plants" LINK

"The application of R language in the selection of characteristic bands for the prediction of protein content in milk powder by Near Infrared Spectroscopy" LINK

"Onsite nutritional diagnosis of tea plants using micro near-infrared spectrometer coupled with chemometrics" LINK

Horticulture NIR-Spectroscopy Applications

"Improving the accuracy of near-infrared (NIR) spectroscopy method to predict the oil content of oil palm fresh fruits" LINK

Laboratory and NIR-Spectroscopy

"Non-destructive determination of apple quality parameters of variety'red jonaprince'using near infrared spectroscopy." LINK

"Laboratory Methods for Evaluating Forage Quality" LINK

Other

"Automatic Walnut Sorting System Based on Adaptive Fuzzy Control" LINK

"Industrial gas chromatographs" LINK

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Chemometrics and Machine Learning

Research on Spectroscopy

Equipment for Spectroscopy

"Quality assessment of instant green tea using portable NIR spectrometer." LINK

Process Control and NIR Sensors

Agriculture NIR-Spectroscopy Usage

Horticulture NIR-Spectroscopy Applications

"Improving the accuracy of near-infrared (NIR) spectroscopy method to predict the oil content of oil palm fresh fruits" LINK

Laboratory and NIR-Spectroscopy

"Non-destructive determination of apple quality parameters of variety'red jonaprince'using near infrared spectroscopy." LINK

"Laboratory Methods for Evaluating Forage Quality" LINK

Other

"Automatic Walnut Sorting System Based on Adaptive Fuzzy Control" LINK

"Industrial gas chromatographs" LINK

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Chemometrics and Machine Learning

Research on Spectroscopy

Equipment for Spectroscopy

"Quality assessment of instant green tea using portable NIR spectrometer." LINK

Process Control and NIR Sensors

Agriculture NIR-Spectroscopy Usage

Horticulture NIR-Spectroscopy Applications

"Improving the accuracy of near-infrared (NIR) spectroscopy method to predict the oil content of oil palm fresh fruits" LINK

Laboratory and NIR-Spectroscopy

"Non-destructive determination of apple quality parameters of variety'red jonaprince'using near infrared spectroscopy." LINK

"Laboratory Methods for Evaluating Forage Quality" LINK

Other

"Automatic Walnut Sorting System Based on Adaptive Fuzzy Control" LINK

"Industrial gas chromatographs" LINK

June 22, 2020

Spectroscopy and Chemometrics News Weekly #25, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #25, 2020Spettroscopia e Chemiometria Weekly News #25, 2020

NIR Calibration-Model Services

Using cost saving NIR-Spectroscopy Analysis? You can Save even more Costs and Time! How? Read here | VIS NIR NIRS Spectroscopy LabManager Labs QualityControl CostSaving foodindustry foodproduct Spectrometer Sensor Analytics LINK

Machine Learning for NIR Spectroscopy as a Service, a Game Changer for Productivity and Accuracy/Precision! Use the free NIR-Predcitor software to combine NIRS + Lab data and send your Calibration Request. LabManager Analysis MachineLearning LINK

Spectroscopy and Chemometrics News Weekly 24, 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 24, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 24, 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)

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

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

"Handheld Near-Infrared Spectrometers: Reality and Empty Promises" miniaturization NIRS FTNIR MEMS MOEMS LVFs LINK

BESTCentreLTU research hot off the press: | In collaboration with Assoc. Prof. Kellie Tuck from , we’ve developed new near-infrared emissive electrochemiluminophores for sensing in NIR transparent biological media. LINK

"Near-Infrared Emitter for Bioanalytical Applications" NIR ECL electrochemiluminescence LINK

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

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

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

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

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

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

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

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

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

"Detection of melamine and sucrose as adulterants in milk powder using near-infrared spectroscopy with DD-SIMCA as one-class classifier and MCR-ALS as a means to provide pure profiles of milk and of both adulterants with forensic evidence" LINK

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

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

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

"Should the Past Define the Future of Interpretation of Infrared and Raman Spectra?" LINK

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

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

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

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

Hyperspectral Imaging (HSI)

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

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

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

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

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

Chemometrics and Machine Learning

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

"Comprehensive Chemometrics - Chemical and Biochemical Data Analysis Reference Work • 2nd Edition • 2020" | books Chemometrics DataAnalysis Chemical Biochemical LINK

"Identification of invisible biological traces in forensic evidences by hyperspectral NIR imaging combined with chemometrics" LINK

Research on Spectroscopy

"Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel" LINK

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

Equipment for Spectroscopy

Using NIR scanner to assess grass in sward for composition prior to baling and wrapping for EU LIFE Farm4More project. Thanks to Dinamica Generale for providing the equipment LINK

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

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

Agriculture NIR-Spectroscopy Usage

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

"Placing Soil Information in the Hands of Farmers" LINK

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

"Complex Food Recognition using Hyper-Spectral Imagery" LINK

Horticulture NIR-Spectroscopy Applications

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

Laboratory and NIR-Spectroscopy

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

Other

LINK

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Hyperspectral Imaging (HSI)

Chemometrics and Machine Learning

Research on Spectroscopy

"Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel" LINK

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

Equipment for Spectroscopy

Agriculture NIR-Spectroscopy Usage

Horticulture NIR-Spectroscopy Applications

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

Laboratory and NIR-Spectroscopy

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

Other

LINK

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Hyperspectral Imaging (HSI)

Chemometrics and Machine Learning

Research on Spectroscopy

"Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel" LINK

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

Equipment for Spectroscopy

Agriculture NIR-Spectroscopy Usage

Horticulture NIR-Spectroscopy Applications

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

Laboratory and NIR-Spectroscopy

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

Other

LINK

June 15, 2020

Spectroscopy and Chemometrics News Weekly #24, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #24, 2020Spettroscopia e Chemiometria Weekly News #24, 2020

NIR Calibration-Model Services

Machine Learning for NIR Spectroscopy as a Service, a Game Changer for Productivity and Accuracy/Precision! Use the free NIR-Predcitor software to combine NIRS + Lab data and send your Calibration Request. LabManager Analysis MachineLearning LINK

"Food quality digitized at the "speed of light" " : Food Sample -> measured with a NIRS spectrometer -> spectral data -> ⚖️ predicted with a NIRPredictor & CalibrationModel -> % quantitative results -> quality decision -> LINK

Spectroscopy and Chemometrics News Weekly 23, 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 23, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 23, 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)

"Fiber Content Determination of Linen/Viscose Blends Using NIR Spectroscopy" LINK

"Characterization of a high power time-domain NIRS device: towards faster and deeper investigation of biological tissues" LINK

"… chamosite from an hydrothermalized oolitic ironstone (Saint-Aubin-des-Châteaux, Armorican Massif, France): crystal chemistry, Vis-NIR spectroscopy (red variety) and …" LINK

"Study on evolution methods for the optimization of machine learning models based on FT-NIR spectroscopy" LINK

"Vibrational coupling to hydration shell - Mechanism to performance enhancement of qualitative analysis in NIR spectroscopy of carbohydrates in aqueous environment." LINK

" RAPID EVALUATION OF DRY WHITE KIDNEY BEANS COOKING CHARACTERISTICS BY NEAR-INFRARED (NIR) SPECTROSCOPY" LINK

For food analysts, how to choose between a ‘classic’ method and a ‘modern’ technique such as FT-NIR or RMN? Our recently available paper tries to answer that question based on error evaluation: LINK

"FT-NIR combined with chemometrics versus classic chemical methods as accredited analytical support for decision-making: application to chemical compositional compliance of feedingstuffs" LINK

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

"Functional Classification of Feed Items in Pampa Grassland, Based on Their Near-Infrared Spectrum" LINK

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

"Near-infrared spectroscopy as a new method for post-harvest monitoring of white truffles" LINK

"Rapid Prediction of Apparent Amylose, Total Starch, and Crude Protein by Near‐Infrared Reflectance Spectroscopy for Foxtail Millet (Setaria italica)" LINK

"New Induced Mutation Genetic Algorithm for Spectral Variables Selection in Near Infrared Spectroscopy" LINK

"Quantification of Plant Root Species Composition in Peatlands Using FTIR Spectroscopy" LINK

"Functional classification of feed items in pampa grassland, based on their near-infrared spectrum" LINK

"A feasibility of nondestructive rapid detection of total volatile basic nitrogen content in frozen pork based on portable near-infrared spectroscopy" LINK

" Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy" LINK

"Has the time come to use near-infrared spectroscopy in your science classroom?" LINK

"Feasibility of using near-infrared measurements to detect changes in water quality" LINK

"A novel CC-tSNE-SVR model for rapid determination of diesel fuel quality by near infrared spectroscopy" LINK

"Optimizing analysis of coal property using laser-induced breakdown and near-infrared reflectance spectroscopies" LINK

"Probing Active Sites and Reaction Intermediates of Electrocatalysis Through Confocal Near-Infrared Photoluminescence Spectroscopy: A Perspective." LINK

"Determination of in situ ruminal degradation of phytate phosphorus from single and compound feeds in dairy cows using chemical analysis and near-infrared spectroscopy" LINK

"Non-destructive assessment of moisture content and modulus of rupture of sawn timber Hevea wood using near infrared spectroscopy technique" LINK

"Accurate prediction of glucose concentration and identification of major contributing features from hardly distinguishable near-infrared spectroscopy" LINK

" Multiblock PLS-DA on fecal and plasma visible-near-infrared spectra for discriminating young bulls according to their efficiency. Preliminary results" LINK

"Examining the Utility of Visible Near-Infrared and Optical Remote Sensing for the Early Detection of Rapid ‘Ōhi‘a Death" LINK

"Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral …" LINK

" RAPID, NONDESTRUCTIVE AND SIMULTANEOUS PREDICTIONS OF SOIL CONTENT IN WULING MOUNTAIN AREA USING NEAR INFRARED …" LINK

Raman Spectroscopy

"Differentiating cancer cells using Raman spectroscopy (Conference Presentation)" LINK

"Applied Sciences, Vol. 10, Pages 3545: Raman Spectral Analysis for Quality Determination of Grignard Reagent" LINK

"Surfaceenhanced Raman spectroscopy for onsite analysis: A review of recent developments" LINK

Hyperspectral Imaging (HSI)

"Estimating leaf mercury content in Phragmites australis based on leaf hyperspectral reflectance" LINK

"A hyperspectral microscope based on a birefringent ultrastable common-path interferometer (Conference Presentation)" LINK

"Hyperspectral imaging of beet seed germination prediction" LINK

"Hyperspectral imaging for discrimination of Keemun black tea quality categories: Multivariate calibration analysis and data fusion" LINK

"Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat" LINK

"Performance of Fluorescence and Diffuse Reflectance Hyperspectral Imaging for Characterization of Lutefisk: A Traditional Norwegian Fish Dish" LINK

Spectral Imaging

"Identify the ripening stage of avocado by multispectral camera using semi-supervised learning on small dataset" LINK

"Multispectral imaging for predicting the water status in mushroom during hotair dehydration" LINK

Chemometrics and Machine Learning

"Sample selection, calibration and validation of models developed from a large dataset of near infrared spectra of tree leaves" Eucalyptus forage quality LINK

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

"Detection and Assessment of Nitrogen Effect on Cold Tolerance for Tea by Hyperspectral Reflectance with PLSR, PCR, and LM Models" LINK

"Application of vibrationnal spectroscopy and chemometrics to access the quality of Locally produced antimalarial medicines in the Democratic Republic of Congo." LINK

"Predicting total petroleum hydrocarbons in field soils with VisNIR models developed on laboratoryconstructed samples" LINK

"National spectral data and learning algorithms for potentially toxic elements modelling in forest soil horizons" LINK

"Rapid determination of the textural properties of silver carp (Hypophthalmichthys molitrix) using near-infrared reflectance spectroscopy and chemometrics" LINK

"Vibrational spectroscopy and chemometrics for quantifying key bioactive components of various plum cultivars grown in New Zealand" LINK

Equipment for Spectroscopy

"NearInfrared Multipurpose LanthanideImaging Nanoprobes" LINK

Process Control and NIR Sensors

"Non-invasive measurement of quality attributes of processed pomegranate products" LINK

Environment NIR-Spectroscopy Application

"Spectral Feature Selection Optimization for Water Quality Estimation." LINK

"Remote Sensing, Vol. 12, Pages 931: Optical Water Type Guided Approach to Estimate Optical Water Quality Parameters" LINK

"Estimation of total nitrogen and organic carbon contents in mine soils with NIR reflectance spectroscopy and various chemometric methods" LINK

Agriculture NIR-Spectroscopy Usage

"Development of a compact multimodal imaging system for rapid characterisation of intrinsic optical properties of freshly excised tissue (Conference Presentation)" LINK

"Agriculture, Vol. 10, Pages 181: Grafting and ShadingThe Influence on Postharvest Tomato Quality" LINK

"Remote Sensing, Vol. 12, Pages 940: Editorial for the Special Issue Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery"" LINK

"Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm." LINK

"The development of models to predict the nutritional value of feedstuffs and feed mixture using NIRS" LINK

"Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy" LINK

Horticulture NIR-Spectroscopy Applications

"Recent advances in imaging techniques for bruise detection in fruits and vegetables" LINK

Forestry and Wood Industry NIR Usage

"Nutritional characterization of trees from the Amazonian piedmont, Putumayo department, Colombia" LINK

Food & Feed Industry NIR Usage

"Approaches, applications, and future directions for hyperspectral vegetation studies: An emphasis on yieldlimiting factors in wheat" LINK

"Beef Nutritional Quality Testing and Food Packaging" LINK

Laboratory and NIR-Spectroscopy

"UV Irradiation and Near Infrared Characterization of Laboratory Mars Soil Analog Samples: the case of Phthalic Acid, Adenosine 5'-Monophosphate, L-Glutamic Acid …" molecular biosignatures; spectroscopy; lifedetection LINK

Other

LINK

"Effect of substrate temperature on the microstructural and optical properties of RF sputtered grown ZnO thin films" LINK

Using near-infrared light to 3-D print an ear inside the body LINK

"Eco-friendly dye sensitized solar cell using natural dye with solid polymer electrolyte as hole transport material" solarcell LINK

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Raman Spectroscopy

Hyperspectral Imaging (HSI)

Spectral Imaging

Chemometrics and Machine Learning

Equipment for Spectroscopy

"NearInfrared Multipurpose LanthanideImaging Nanoprobes" LINK

Process Control and NIR Sensors

"Non-invasive measurement of quality attributes of processed pomegranate products" LINK

Environment NIR-Spectroscopy Application

Agriculture NIR-Spectroscopy Usage

Horticulture NIR-Spectroscopy Applications

"Recent advances in imaging techniques for bruise detection in fruits and vegetables" LINK

Forestry and Wood Industry NIR Usage

"Nutritional characterization of trees from the Amazonian piedmont, Putumayo department, Colombia" LINK

Food & Feed Industry NIR Usage

Laboratory and NIR-Spectroscopy

Other

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Raman Spectroscopy

Hyperspectral Imaging (HSI)

Spectral Imaging

Chemometrics and Machine Learning

Equipment for Spectroscopy

"NearInfrared Multipurpose LanthanideImaging Nanoprobes" LINK

Process Control and NIR Sensors

"Non-invasive measurement of quality attributes of processed pomegranate products" LINK

Environment NIR-Spectroscopy Application

Agriculture NIR-Spectroscopy Usage

Horticulture NIR-Spectroscopy Applications

"Recent advances in imaging techniques for bruise detection in fruits and vegetables" LINK

Forestry and Wood Industry NIR Usage

"Nutritional characterization of trees from the Amazonian piedmont, Putumayo department, Colombia" LINK

Food & Feed Industry NIR Usage

Laboratory and NIR-Spectroscopy

Other

June 8, 2020June 8, 2020

Spectroscopy and Chemometrics News Weekly #23, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #23, 2020Spettroscopia e Chemiometria Weekly News #23, 2020

NIR Calibration-Model Services

New Free NIR-Predictor V2.6 software is released - New : reads and predicts also *.spc spectra file format (Thermo-Scientific / Galactic GRAMS) - Spectra Plots on the Prediction Reports NIRS NIR Spectroscopy Spectrometer QualityControl Lab Laboratory Analysis LINK

Plot of predicted Spectra — Spectra Plot

Spectroscopy and Chemometrics News Weekly 22, 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 22, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 22, 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)

"Potential of Vis-NIR spectroscopy for detection of chilling injury in kiwifruit" LINK

"The application of NIR spectroscopy in moisture determining of vegetable seeds" LINK

"Detection and quantification of active pharmaceutical ingredients as adulterants in Garcinia cambogia slimming preparations using NIR spectroscopy combined with …" 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

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

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

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

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

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

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

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

"Near-infrared wavelength-selection method based on joint mutual information and weighted bootstrap sampling" LINK

"Rapid and simultaneous analysis of direct and indirect bilirubin indicators in serum through reagent-free visible-near-infrared spectroscopy combined with …" LINK

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

"Sensors, Vol. 20, Pages 1472: Fusion of Mid-Wave Infrared and Long-Wave Infrared Reflectance Spectra for Quantitative Analysis of Minerals" LINK

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

"Near-infrared spectroscopy as a quantitative spasticity assessment tool: A systematic review." LINK

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

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

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

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

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

"Prognostic value of near-infrared spectroscopy in hypoxic-ischaemic encephalopathy" LINK

Raman Spectroscopy

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

Hyperspectral Imaging (HSI)

"Dual-camera design for hyperspectral and panchromatic imaging, using a wedge shaped liquid crystal as a spectral multiplexer" | |)/S/URI LINK

"Discriminative Reconstruction for Hyperspectral Anomaly Detection With Spectral Learning" 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

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

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

Chemometrics and Machine Learning

"ATR-MIR spectroscopy to predict commercial milk major components: A comparison between a handheld and a benchtop instrument" LINK

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

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

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

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

Environment NIR-Spectroscopy Application

"Improved mapping of soil heavy metals using a Vis-NIR spectroscopy index in an agricultural area of eastern China" LINK

Agriculture NIR-Spectroscopy Usage

"The Use of Multi-temporal Spectral Information to Improve the Classification of Agricultural Crops in Landscapes" 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

"Agriculture, Vol. 10, Pages 177: Prediction of Soil Oxalate Phosphorus using Visible and Near-Infrared Spectroscopy in Natural and Cultivated System Soils of Madagascar" 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

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

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

Laboratory and NIR-Spectroscopy

"Laboratory-Scale Preparation and Characterization of Dried Extract of Muirapuama (Ptychopetalumolacoides Benth) by Green Analytical Techniques" LINK

Other

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

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

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

.

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Raman Spectroscopy

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

Hyperspectral Imaging (HSI)

Chemometrics and Machine Learning

Environment NIR-Spectroscopy Application

"Improved mapping of soil heavy metals using a Vis-NIR spectroscopy index in an agricultural area of eastern China" LINK

Agriculture NIR-Spectroscopy Usage

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

Laboratory and NIR-Spectroscopy

"Laboratory-Scale Preparation and Characterization of Dried Extract of Muirapuama (Ptychopetalumolacoides Benth) by Green Analytical Techniques" LINK

Other

.

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Raman Spectroscopy

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

Hyperspectral Imaging (HSI)

Chemometrics and Machine Learning

Environment NIR-Spectroscopy Application

"Improved mapping of soil heavy metals using a Vis-NIR spectroscopy index in an agricultural area of eastern China" LINK

Agriculture NIR-Spectroscopy Usage

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

Laboratory and NIR-Spectroscopy

"Laboratory-Scale Preparation and Characterization of Dried Extract of Muirapuama (Ptychopetalumolacoides Benth) by Green Analytical Techniques" LINK

Other

.

June 1, 2020

Spectroscopy and Chemometrics News Weekly #22, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #22, 2020Spettroscopia e Chemiometria Weekly News #22, 2020

NIR Calibration-Model Services

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

Spectroscopy and Chemometrics News Weekly 21, 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 21, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 21, 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)

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

"Review of NIR spectroscopy methods for nondestructive quality analysis of oilseeds and edible oils" LINK

"Omega-3 and Omega-6 Determination in Nile Tilapia's Fillet Based on MicroNIR Spectroscopy and Multivariate Calibration" LINK

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

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

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

"A system using in situ NIRS sensors for the detection of product failing to meet quality standards and the prediction of optimal postharvest shelf-life in the case of oranges kept in cold storage" LINK

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

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

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

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

"Different Supervised and unsupervised classification approaches based on Visible/Near infrared spectral analysis for discrimination of microbial contaminated lettuce …" LINK

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

"Monitoring the Progress and Healing Status of Burn Wounds Using Infrared Spectroscopy" LINK

"Detection of melamine and sucrose as adulterants in milk powder using near-infrared spectroscopy with DD-SIMCA as one-class classifier and MCR-ALS ... forensic evidence" LINK

"Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy" LINK

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

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

"Impact of H2O on atmospheric CH4 measurement in near-infrared absorption spectroscopy." LINK

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

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

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

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

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

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

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

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

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

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

Raman Spectroscopy

"Raman Technology for Today's Spectroscopists" LINK

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

Hyperspectral Imaging (HSI)

"Classification of Hyperspectral Endocrine Tissue Images Using Support Vector Machines." LINK

"Using dual-channel CNN to classify hyperspectral image based on spatial-spectral information" LINK

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

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

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

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

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

Chemometrics and Machine Learning

"Rapid detection of saffron (Crocus sativus L.) Adulterated with lotus stamens and corn stigmas by near-infrared spectroscopy and chemometrics" LINK

"Simultaneous quantification of active constituents and antioxidant capability of green tea using NIR spectroscopy coupled with swarm intelligence algorithm" LINK

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

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

"Identification of Tea Diseases Based on Spectral Reflectance and Machine Learning" LINK

"Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and …" LINK

Research on Spectroscopy

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

"Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel" LINK

Equipment for Spectroscopy

"Evaluation of Depth Measurement Method Based on Spectral Characteristics Using Hyperspectrometer" LINK

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

Process Control and NIR Sensors

"Process analytical technology tools for process control of roller compaction in solid pharmaceuticals manufacturing." LINK

Agriculture NIR-Spectroscopy Usage

"The effect of bubble formation within carbonated drinks on the brewage foamability, bubble dynamics and sensory perception by consumers" LINK

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

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

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

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

"Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel" LINK

Horticulture NIR-Spectroscopy Applications

" Nondestructive determining the soluble solids content of citrus using near infrared transmittance technology combined with the variable selection algorithm" LINK

Food & Feed Industry NIR Usage

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

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

Other

"Microsoft lays off journalists to replace them with AI" LINK

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Raman Spectroscopy

"Raman Technology for Today's Spectroscopists" LINK

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

Hyperspectral Imaging (HSI)

Chemometrics and Machine Learning

Research on Spectroscopy

Equipment for Spectroscopy

Process Control and NIR Sensors

"Process analytical technology tools for process control of roller compaction in solid pharmaceuticals manufacturing." LINK

Agriculture NIR-Spectroscopy Usage

Horticulture NIR-Spectroscopy Applications

" Nondestructive determining the soluble solids content of citrus using near infrared transmittance technology combined with the variable selection algorithm" LINK

Food & Feed Industry NIR Usage

Other

"Microsoft lays off journalists to replace them with AI" LINK

NIR Calibration-Model Services

Near-Infrared Spectroscopy (NIRS)

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

Raman Spectroscopy

"Raman Technology for Today's Spectroscopists" LINK

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

Hyperspectral Imaging (HSI)

Chemometrics and Machine Learning

Research on Spectroscopy

Equipment for Spectroscopy

Process Control and NIR Sensors

"Process analytical technology tools for process control of roller compaction in solid pharmaceuticals manufacturing." LINK

Agriculture NIR-Spectroscopy Usage

Horticulture NIR-Spectroscopy Applications

" Nondestructive determining the soluble solids content of citrus using near infrared transmittance technology combined with the variable selection algorithm" LINK

Food & Feed Industry NIR Usage

Other

"Microsoft lays off journalists to replace them with AI" LINK

NIR-Predictor – Manual

NIR-Predictor – Manual
Predicting Spectra
Creating your own Calibrations
Configure the Calibrations for prediction usage
Applications
- The use-all case
Prediction Result Report
Enter lab values to NIR spectra
- Entering the laboratory reference values for NIR calibrations
- Create Properties File
Create Calibration Request
- When all is fine
Program Settings
Further References

NIR-Predictor – Manual

Predicting Spectra

It’s easy to use with NIR-Predictor,
just drag & drop your data for getting the prediction results.

It supports an automatic file format detection.
So you don’t need to specify the instrument type and settings! See the list of supported formats and NIR Vendors: NIR-Predictor supported Spectral Data File Formats

Use the included data to checkout how it feels:

Open the demo Spectra folder by using the Menu > Open Demo Spectra or press F8.
There are files with spectra from different Vendors.
Drag & drop a spectra file onto the NIR-Predictor window (or press Ctrl+O as for ’Open some files).
The spectra will be
- loaded
- pre-processed
- predicted and
- reported

Note:
All the steps are fully automatic.
All calibrations that are compatible with the spectra, will produce prediction results in one go.
To select specific calibrations choose the Application. Where the ” ” empty means use all the calibrations.
To define a Application read more in chapter “Applications”

Hint:
To get access to Statistics of Predictions and Reports use the Menu > Show more/less (Ctrl+M) or you can simply resize the window. Here you can also re-do the Analyze step manually with changed inputs (e.g. Result Ordering).

Creating your own Calibrations

How it works – step by step

You have measured your samples with you NIR-Instrument Software.
And got the Lab-values of these samples.

samples
-> measured NIR-spectra
-> Lab-references analytics
Now you need to combine these data.
NIR-spectra + Lab-references
-> PropertiesBySamples

Note: If you combined these data already in your NIR software used,
and you can export it as a JCAMP-DX file then use
Menu > Create Request File .req ... (F2)
and read the “Help.html” and NIR-Predictor JCAMP.
Else proceed as below.

The NIR-Predictor provides tooling for that:

Menu > Create Properties File... (F6)

Select the folder with your NIR spectra measured for an application.
NIR-Predictor creates a customized Properties file template for that data to enter the Lab values.

Note: You don’t need to specify your instrument or vendor or an application. It’s all done automatically. And also the sample spectra are detected and grouped automatically!
Use your favorite editor or spreadsheet program to enter and copy&paste
the Lab-references Values into the columns “Prop1”, “Prop2” etc. and save the file.
A final check of your entered data is done by NIR-Predictor,
to make sure your data ist complete and all is fine.

Menu > Create Calibration Request... (F7)

Select the folder with the filled file.
A CalibrationRequest.zip is created with the necessary data
if enougth diverse Lab values are entered.
Email the CalibrationRequest.zip file
to info@CalibrationModel.com to develop the calibrations.
When your calibrations are ready, you will receive an email with a link
to the CalibrationModel WebShop where
you can purchase and download the calibration files,
that work with our free NIR-Predictor software without internet access.

Note: Your sent NIR data is deleted after processing.
We do not collect your NIR data!

Note: Further details can be found under “Create Properties File” and “Create Calibration Request”.

Configure the Calibrations for prediction usage

Configuration:

in NIR-Predictor : Menu > Open Calibrations (F9)
an explorer window is opened where the calibrations are located
create a folder for your application, choose a name
copy the calibration file(s) (*.cm) into that folder
in NIR-Predictor : Menu > Search and load Applications (F4)

Usage:

in NIR-Predictor : open the Application drop down list, and select your application by name
if all is fine, the calibration file is valid and not expired, it shows : Calibration “1 valid calibation”
the NIR-Predictor is now ready to predict
to switch the application, goto 6.

Applications

The Application concept allows to group multiple Calibrations together for an Application. By selecting an Application before prediction, only the Calibrations belonging to the Application will be used for Prediction. In the Demo Data this is used to have multiple spectrometer as Application. This can be used easily as e.g. as Application “Meat Products” containing Fat and Moisture Calibration.

To create an Application, create a folder with the Application’s name inside the Calibrations folder, and move/copy all the Calibrations files to this Application folder. To remove a Calibration from the Application, remove the Calibration file from the Application folder.

After creating an new Application folder, press menu Search and load Applications (F4) to update the NIR-Predictor dialog where the Application can be selected via the dropdown list. You don’t need to close the NIR-Predictor.

After moving Calibration files around, press menu Search and load Calibrations (F5) to update the NIR-Predictor dialog.

The use-all case

In the NIR-Predictor dialog where the Application can be selected via the dropdown list, the empty "" name means that all (yes all) valid Calibrations will be used for prediction.

Note: The Prediction Report will contain only results from spectral compatible Calibrations with the given spectra. That allows to automatically handle the multi vendor NIR instrument usage.

Prediction Result Report

Histograms of Prediction Values per Property

Shows the distribution of the predicted results per calibration. The histogram range contains the range of the calibrated property and includes the predicted results.

The histogram bar (bin) color is defined as follow:

blue : all predictions inside calibration range.
red : all predictions outside calibration range.
orange : some overlaps with calibration range.
So not all spectra in a orange bin are outside calibration range.

Histograms of Prediction Values — Histograms

Note: Predicted values are always shown in Histogram table and Prediction Value List table, even if the spectrum does not fit into model (spectrum different to model, aka Residual Outlier) shown as Out = X.

Note: Old browsers like Microsoft Internet Explorer 11 don’t support the grafics for Histogram charts. Use an current browser like Firefox or Chrome or Edge.

Note: If your browser opens the report too slow, try to deactivate some browser plugins, because they can filter what you look at and some add-ons are really slow.

Spectra Plot Thumbnail on the Prediction Report

Visualizes the min,median,max spectrum of the spectra dropped as files on the NIR-Predictor. This gives a minimal and good spectral overview of the predicted property results.

Spectra Plot color legend: min,median,max spectrum by predicted property or if no calibration is available by spectral intensity.
The min,median,max is determined from the predicted properties or if not available from the intensity of the spectra.
Beside the histogram of the predicted properties, where the distribution can be seen, the spectra shown are the ones from min,median,max predicted property.
This gives a minimal and good spectral overview of the predicted property results.
The “Spectral Range” and number of datapoints is shown in the Prediction Report Header below the listed spectra files.
To zoom the spectra plot a little, zoom the report in the browser (hold ctrl + mouse wheel, or pinch on touch screen).
The spectra plots and histograms are stored with the report and can be archived.

Note

Note that the spectra are shown in the raw values that are loaded, they are not shown pre-processed as the calibration model uses them to make the prediction.
Note that the median property spectrum is the median from the predicted property pobulation and not the “median” of the calibration property range.
Note that in the multi calibration prediction case, the spectra are selected for each property based on the related predicted property values and so the spectra plots shows typical different spectra.

Outlier Detection

To safeguard the prediction results, outliers are automatically checked for each individual prediction. This is based on limits that are determined when creating the calibration with the base data. Thus, a strange spectral measurement can be detected and signaled as an outlier even without base data only by means of the calibration and the NIR predictor. A prediction result with outlier warning is to be distrusted. How the various outlier tests are interpreted and how to avoid them in practice is described here.

The spectrum is an outlier to the model, if the spectrum is not similar with the spectra and lab-values the model is built with.

This legend is shown on each NIR-Predictor prediction report below the results:

Outlier (Out) Symbol Description

“X” : spectrum does not fit into model (spectrum different to model)
“O” : spectrum is wide outside model center (spectrum similar to model but far away)
“=” : prediction is outside upper or lower range of model (property outside model range)
“-” : spectrum is incompatible to calibration

Note: A prediction result with outlier warning is to be distrusted.

There are 3 outlier cases (X, O, =) and the incompatible data case “-”.

The bad case is “X”
the medium case is “O”
and the soft case is “=”.

The technical names in literature correspond to:

“X” : Spectral Residual Outlier
“O” : Leverage Outlier
“=” : Property Range Outlier

These 3 outlier cases can appear in combinations, like “XO=” or “XO” or “O=” or “X=”. The more outlier marker are shown the more likely the spectrum is an Outlier.

The default setting in NIR-Predictor Menu > “Report with Simplified Outlier Symbols”

is ON, that will show only the worst case instead of all combinations to have a simplified minimal information.
if OFF, that will show the combinations (e.g. “XO=” or “XO” or “O=” or “X=”), which is more informative for analyzing problem cases.

Some hints to avoid these Outliers:

“X” : spectrum does not fit into model (spectrum different to model)
Check if the spectrum is noise only, or has no proper signal. That can happen when measured past the sample or measured into the air or at a different substance. If you have multiple NIR instruments of the same type, use spectra measured with different instruments for the calibration.
“O” : spectrum is wide outside model center (spectrum similar to model but far away) Sample temperature has an effect on NIR spectra shape, use spectra measured at different (typical use) temperatures (sample temperature, instrument temperature).
“=” : prediction is outside upper or lower range of model (property outside model range)
Use more spectra for the calibration in the Lab value region where your special interest is. If the predicted value is only a little bit out of the calibration range, it can be Ok. Add these spectra to the calibration spectra (with the Lab values), to extend the prediction range of the calibration.
“-” : spectrum is incompatible to calibration
The spectra (from the NIR instrument) has a different wavelength range or a different resolution than the spectra used for calibration. Check Instrument settings (wavelength range, resolution)

Result Ordering

To change the ordering, a drop-down-box is located below the Analyze button. If there is an analysis from the current session, and the Result Ordering is changed, the data is re-Analyzed and reported with the new Result Ordering setting. That allows to compare the different orderings. The Result Ordering is listed in the Prediction Report above the Prediction Value List and stored in the settings.

The order/sorting of the prediction results of the spectra can be defined:

GivenOrder (default) the given order of the spectra from file select dialog or drag&drop

*) sorted : ascending sort

Date_Name sorted by Date (if any) and then by Name
Name_Date sorted by Name and then by Date
Date_NamesWithNumbers sorted by Date (if any) and then by Name with number logic
NamesWithNumbers_Date sorted by Name with number logic (e.g. “ABC1” is before “ABC002” ) and then by Date

*) as above but sorted Rev : reverse sort = descending sort

Rev_Date_Name
Rev_Name_Date
Rev_Date_NamesWithNumbers
Rev_NamesWithNumbers_Date

E.g. with reverse sort by Rev_Date_Name, the newest spectra appear on top.

Print to PDF

Depending on how many calibrations are used the result table is getting broader. To print the report (e.g. to Adobe PDF, FreePDF or Microsoft XPS), sometimes the landscape format is shorter in number of pages or in portrait a scale of 80% fits nicely. Or try another internet browser (Mozilla Firefox, Google Chrome, Microsoft Edge, …) to print the report and set the browser as your default browser so it will be opened by default.

Archiving Reports

Each report is contained in one file only, including the grafics. To save storage space the report file folder can be compressed to a zip file (.zip, .7z).

Enter lab values to NIR spectra

Entering the laboratory reference values for NIR calibrations

We have developed specialized tools into NIR-Predictor to combine the NIR and Lab data is a sample-based safe manner.

The main target is to improve Data Quality during the step of combining of the Lab data and the NIR data, because to model a good reliable calibration the data that build the base needs to be of high quality.

It also simplifies to enter the lab values manually to the corresponding NIR data, because of automatically grouping repeated NIR measurements of the same sample, so the lab values can be entered sample based and not by spectrum.

It helps to avoid false reference data, because of the broken relation of NIR spectra and reference values, data entry on the wrong position in the table.

And Helps to detect errors of duplicated or multiple copies of spectra files, and checks for inconsistencies in Date-Time and Sample-Naming. It also checks for missing values.

That all increases the Data Quality for the next step of Calibration Development, and makes data entry a less time consuming and less risky work.

How it works

Menu > Create Properties File... (F6) select the folder with your NIR spectra measured for an application. NIR-Predictor creates a Properties file template for that data : PropertiesBySamples.csv.txt
Use your favorite editor or spreadsheet program to enter and copy&paste the Lab Values into the columns and save the file.
Menu > Create Calibration Request... (F7) select the folder with the filled file for a last check and a Calibration Request file is created with the needed data as a single zip file.
Email the Calibration Request file to info@CalibrationModel.com to develop the calibrations.

Ok that is it, the NIR-Predictor guides you through the steps needed. And if you need to know more details, the Chapter “Create Properties File” is for you.

Create Properties File

Note:

If you have (exported) JCAMP-DX files containing the Lab-Values, you don’t need to do this step.
You can send the JCAMP file with your Request (.req) file directly to the calibration service at info@CalibrationModel.com.
If your JCAMP-DX files does NOT contain Lab-Values, this is a way to go.

For calibrating the spectra to the lab-values you need to assign the lab-values to the spectra. The easiest way is to have a table where each spectrum (row) is linked to multiple lab-values (columns). This function Create Properties File build such a table for the selected spectra folder automatically!

This table is stored in the file PropertiesBySamples.csv.txt. This can be created for any spectra folder you like. The file extension is .csv.txt to make it easy to edit in a text editor and also in a spreadsheet (excel). The columns are standard TAB separated.

The file header line contains :

Sample Replicates Names Prop1 Prop2 Prop3 DateFirst DateLast Hashes

Where Name and Date describes the spectrum.

Prop1, Prop2, Prop3 are the place to enter the Lab Reference Concentrations properties corresponding to each spectrum. It can be extended to Prop4, Prop5, … etc. Of course you can enter real word names like “Fat (%)” instead of “Prop1”. It’s recommended to put the measurement unit beside the name.

Replicates is the number of replicated or repeated spectra of a sample that is grouped together in the Sample based property file. Sample name and the DateFirst / DateLast between the sample spectra are measured.

Date format is ISO-8601. Missing Dates are 0002-02-02T00:00:00.0000000.

If the file PropertiesBySamples.csv.txt already exist in the selected folder, the user will be notified (it will not be overwritten, because the file may contain user entered Lab-values). The Lab Reference Concentrations values are initialized to 0 (zero) and needed to be changed.

Note: 0 is not interpreted as missing value! If you have a 0 concentration value, put in 0 or 0.0 .

The entry of properties is as easy as possible, because it’s organized by Sample (and not by Spectra), so it’s like your Lab-Value Table that is sample based. The sample rows are sorted in a special way by Sample name. Sorting by Date or alphabetically by Sample can done easily in a spreadsheet program.

Note: when coping lab values to the samples make sure they correspond, so that there are no gaps and the sorting is the same.

The Spectra (rows) are initially sorted by name (and date) to have the replicates/repeats together. You can sort for your convenience in a spreadsheet program.

Enter the Lab Reference Concentrations to the spectra/sample.

Enter the Lab-Values in spreadsheet (e.g. Excel) or a text editor (e.g. Notepad++). If done, use the next menu Create Calibration Request.

Hints: Data handling:

The NIR-Predictor creates the PropertiesBySamples.csv.txt once, after that the user is responsible for its content. That means NIR-Predictor does not change this file anymore.
You can remove entire rows (spectra) in the property file. You don’t need to remove the spectra files. The NIR-Predictor is aware of the relation, the PropertiesBySamples.csv.txt defines what will be calibrated.
How to add more spectra files?
The additional spectra can be handled in a separate folder, create the property file and copy the spectra to the other folder and copy/merge the property files together in your editor or spreadsheet.

Or

Copy the spectra into the folder, rename the PropertiesBySamples.csv.txt to e.g. “PropertiesBySamples-Part1.csv.txt” and use Create Properties File to create a new PropertiesBySamples.csv.txt with all the spectra. You can copy/merge the content of the Properties files together in your editor or spreadsheet.
What happens with possible duplicate rows? It does no harm to the Calibration because we do an exact checking and data cleaning in the calibration process.
What happens to duplicate spectra names? The spectra names are not relevant for the calibration process. The spectra names are helpful to assign the lab-values to the corresponding spectrum entry. That’s why the table is initially sorted by name. The spectra names can be edited by the user.

Create Calibration Request

The menu function Create Calibration Request packs a created Properties file (see “Create Properties File”) and it’s linked spectra files in a compressed ZIP file for sending to the CalibrationModel.com Service.

Please note that the number of measured quantitative samples need to be at least 60 . That means you need at least 60 different spectra (not counting the replicate/repeated measurements).

It shows additional property information about the data you have entered, like – the property type (Quantitative) – it’s range (min – max) and – the number of unique values and – if the Lab-values are enough diverse to get calibrated.

First select the folder with the PropertiesBySamples.csv.txt and measured spectra files of samples you have Lab-values. The data is checked and you get notified what is missing or might be wrong. If something needs to be changed, edit the PropertiesBySamples.csv.txt and do Create Calibration Request again. Your last selected folder is remembered, so you can press return in the folder selection dialog.

Hint: The keyboard shortcuts for redoing it after you edited some entries is : F7 Return – that allows you to get the property information quickly.

Hint: If you open the PropertiesBySamples.csv.txt in a spreadsheet program, you can create Histogram plots of the entered Lab-values, to see in which range are to less samples measurements.

When all is fine

When all is fine the “CalibrationRequest.zip” file is created for that data.

The ZIP file contains:

your PropertiesBySamples.csv.txt
your personal REQuest file for your computer system, that looks like
e.g. “337dcdc06b2d6dfb0b5c4bba578642312edf2ae84d909281624d7e26283e8b07 WIN-GB0PB48GSK4.req”
the spectra data files

Note: If the CalibrationRequest.zip file is already created and you change the PropertiesBySamples.csv.txt make sure to delete the old CalibrationRequest.zip file first! In the dialog it states if it was successfully created or NOT because it already exist. So you are always on the safe side.

Note: CalibrationRequest.zip file name contains the property names to know what would be calibrated and at the end an identification number for referencing the file. E.g. “CalibrationRequest ‘Prop1’ – ‘Prop2’ h31T3wOH.zip”

Program Settings

The users program settings are stored in UserSettings.json
The program counters are stored in GlobalCounters.json

Further References

Data File Formats : NIR-Predictor supported Spectral Data File Formats
Release Notes : NIR-Predictor – Release Notes History
Frequently Asked Questions: NIR-Predictor – FAQ

NIR-Predictor Download

The free NIR-Predictor software

comes with demo data, so you can predict sample spectra with demo calibrations.
has no functional limitations, no nagging, no ads and needs no license-key.
you need no account and no registration to download and use.
runs on Microsoft Windows 10/8/7 (Starter, Basic, Professional) (32 bit / 64 bit).
no data is ever transmitted from your local machine. We don't even collect usage data.

See more Videos Beside the free NIR-Predictor software with Windows user interface, the real-time Predictor Engine is also available

for embedded integration in application, cloud and instrument-software (ICT).
As a light-weigt single library file (DLL) with application programming interface (API), documentation and software development kit (SDK) including sample source code (C#).
Easy integration and deployment, no software license protection (no serial key, no dongle).
Put your spectrum as an array into the multivariate predictor, no specific file format needed.
Fast prediction speed and low latency because of compiled code library (direct call, no cloud API).
Protected prediction results with outlier detection information.

See NIR Method Development Service for Labs and NIR-Vendors (OEM, White-Label)

Software	Size	Date	Comment
NIR-Predictor V2.6.0.2 (download) What's new, see Release Notes By downloading and/or using the software you accept the Software License Agreement (EULA)	3.7 MB	18.08.2021	public release

Minimal System Requirements Windows 7 Starter 32Bit, 1.6 GHz, 2 GB RAM, non-Administrator account Installation There are no administrator rights required, unpack the zip file to a folder "NIR-Predictor" in your documents or on your desktop. Read the ReadMe.txt and double click the NIR-Predictor.exe file. Upgrade If you have installed an older version of NIR-Predictor then unpack into a different folder named e.g. "NIR-PredictorVx.y". All versions can run side-by-side. Copy the Calibrations in use to the new version into the "Calibration" folder. That's all. Uninstall Make sure to backup your reports and calibrations inside your "NIR-Predictor" folder. Delete the "NIR-Predictor" folder. Start Calibrate See also:

The free NIR-Predictor software

comes with demo data, so you can predict sample spectra with demo calibrations.
has no functional limitations, no nagging, no ads and needs no license-key.
you need no account and no registration to download and use.
runs on Microsoft Windows 10/8/7 (Starter, Basic, Professional) (32 bit / 64 bit).
no data is ever transmitted from your local machine. We don't even collect usage data.

See more Videos Neben der kostenlosen NIR-Predictor-Software mit Windows-Benutzeroberfläche ist die Echtzeit-Predictor-Engine auch verfügbar

für die eingebettete Integration in Applikations-, Cloud- und Geräte-Software (ICT).
Als leichtgewichtige Einzelbibliotheksdatei (DLL) mit Anwendungsprogrammier-Schnittstelle (API), Dokumentation und Software Development Kit (SDK) inklusive Beispiel-Quellcode (C#).
Einfache Integration und Bereitstellung, kein Software-Lizenzschutz (kein Serienschlüssel, kein Dongle).
Geben Sie Ihr Spektrum als Array in den multivariaten Prädiktor ein, es ist kein spezielles Dateiformat erforderlich.
Schnelle Vorhersagegeschwindigkeit und niedrige Latenz aufgrund der kompilierten Code-Bibliothek (direkter Aufruf, keine Cloud-API).
Geschützte Vorhersageergebnisse mit Informationen zur Ausreißererkennung.

Siehe NIR-Methodenentwicklungsservice für Labore und NIR-Anbieter (OEM, White-Label)

Software	Size	Date	Comment
NIR-Predictor V2.6.0.2 (download) What's new, see Release Notes By downloading and/or using the software you accept the Software License Agreement (EULA)	3.7 MB	18.08.2021	public release

The free NIR-Predictor software

comes with demo data, so you can predict sample spectra with demo calibrations.
has no functional limitations, no nagging, no ads and needs no license-key.
you need no account and no registration to download and use.
runs on Microsoft Windows 10/8/7 (Starter, Basic, Professional) (32 bit / 64 bit).
no data is ever transmitted from your local machine. We don't even collect usage data.

See more Videos Oltre al software gratuito NIR-Predictor con interfaccia utente Windows, il Predictor Engine in tempo reale è disponibile anche

per l'integrazione embedded in applicazioni, cloud e strumenti-software (ICT).
Come un singolo file di libreria leggera (DLL) con interfaccia di programmazione dell'applicazione (API), documentazione e kit di sviluppo del software (SDK) incluso il codice sorgente di esempio (C#).
Facile integrazione e distribuzione, nessuna protezione della licenza software (nessuna chiave seriale, nessun dongle).
Inserisci il tuo spettro come array nel predittore multivariato, non è necessario alcun formato di file specifico.
Velocità di predizione veloce e bassa latenza grazie alla libreria di codice compilata (chiamata diretta, nessuna API cloud).
Risultati di predizione protetti con informazioni di rilevamento degli outlier.

Vedi Servizio di sviluppo del metodo NIR per laboratori e fornitori NIR (OEM, White-Label)

Software	Size	Date	Comment
NIR-Predictor V2.6.0.2 (download) What's new, see Release Notes By downloading and/or using the software you accept the Software License Agreement (EULA)	3.7 MB	18.08.2021	public release