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


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

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 45, 2021 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 45, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 45, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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

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




Near-Infrared Spectroscopy (NIRS)

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

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

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

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

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

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

“Handheld NIRS for forage evaluation” LINK

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

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

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

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

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

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

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

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

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

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

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

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

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




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

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

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

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

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

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

“NearInfrared Photoactive Semiconductor Quantum Dots for Solar Cells” LINK




Hyperspectral Imaging (HSI)

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

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

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

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

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

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




Chemometrics and Machine Learning

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

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

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

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

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

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

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




Optics for Spectroscopy

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




Facts

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




Environment NIR-Spectroscopy Application

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

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

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




Agriculture NIR-Spectroscopy Usage

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

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

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

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

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




Food & Feed Industry NIR Usage

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

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

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




Other

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

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



Spectroscopy and Chemometrics News Weekly #23, 2021

NIR Calibration-Model Services

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

Spectroscopy and Chemometrics News Weekly 22, 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 22, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 22, 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)

” Implementation of Non Destructive FTNIR Method for Quick Estimation of Peanut Quality Based on FFA and Peroxide Value” LINK

“Relating Near-Infrared Light Path-Length Modifications to the Water Content of Scattering Media in Near-Infrared Spectroscopy: Toward a New Bouguer-Beer …” LINK

“PREDICCIÓN DEL CONTENIDO EN HUMEDAD TOTAL EN PELETS DE MADERA MEDIANTE NEAR INFRARED SPECTROSCOPY (NIRS)” LINK

” Discrimination of Fresh Tobacco Leaves with Different Maturity Levels by Near-Infrared (NIR) Spectroscopy and Deep Learning” | LINK

“NIR Spectroscopy Applied to the Oil and Gas Industry” LINK

“New perspective for the in-field analysis of cannabis samples using handheld near-infrared spectroscopy: A case study focusing on the determination of Δ9-tetrahydrocannabinol” | THC NIR UHPLC LINK

“Determination of ethyl octanoate in Chinese liquor using FT-NIR spectroscopy” LINK

“NIRS as a fast screening technique for total nutrients in strawberry leaves and in spent growing media” | LINK

“Estimating the Suitability for the Reintroduced Arabian Oryx (Oryx leucoryx, Pallas 1777) of Two Desert Environments by NIRS-Aided Fecal Chemistry” LINK

“Practical Aspects of Sampling for NIRS Analysis” LINK

“Nondestructive simultaneous prediction of internal browning disorder and quality attributes in ‘Rocha’pear (Pyrus communis L.) using VIS-NIR spectroscopy” LINK

“Application of NIR Spectroscopy to Wood and Wood-Derived Products” LINK

“Preprocessing Methods in NIR Spectroscopy” LINK

“A method for highlighting differences between bacteria grown on nutrient agar using near infrared spectroscopy and principal component analysis” LINK

“Early prediction of the seed yield in winter oilseed rape based on the near-infrared reflectance of vegetation (NIRv)” LINK




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

“User Trust in Assisted Decision-Making Using Miniaturized Near-Infrared Spectroscopy” LINK

“Standards for Near-Infrared Analysis” LINK

“Multi-Way Analysis Coupled with Near-Infrared Spectroscopy in Food Industry: Models and Applications” |LINK

“Measurement of total soluble solids and moisture in puree and dry powder of Kakadu plum (Terminalia ferdinanadiana) samples using hand-held near infrared spectroscopy” LINK

“instrument for near-infrared spectroscopy” LINK

“Assessment of resistance to cavitation in Cordilleran cypress using near-infrared spectroscopy” LINK

“Near Infrared Spectroscopy as a Green Technology for the Quality Prediction of Intact Olives” LINK

“An approach for simultaneous monitoring the content of insensitive agent in the double-base oblate spherical propellant by application of near-infrared spectroscope and partial least squares” LINK

“NearInfrared II Plasmonic Au@AuAg DotinCubic Nanoframes for In Vivo SurfaceEnhanced Raman Spectroscopic Detection and Photoacoustic Imaging” LINK

“Accurate and nondestructive detection of apple brix and acidity based on visible and near-infrared spectroscopy” LINK

“Mineralogy of the far-side lunar surface explored by Chang’E-4 with visible and near-infrared reflectance spectra” LINK

“Innovation in the Meat Industry Using Novel Near-Infrared Spectroscopy Sensors” LINK

“Assessment of the Analytical Performance of Three Near-Infrared Spectroscopy Instruments (Benchtop, Handheld and Portable) through the Investigation of Coriander …” LINK

” Estimation of Andrographolides and Gradation of Andrographis paniculata Leaves Using Near Infrared Spectroscopy Together With Support Vector Machine” LINK




Raman Spectroscopy

“Analysis and Classification of Hepatitis Infections Using Raman Spectroscopy and Multiscale Convolutional Neural Networks” LINK




Hyperspectral Imaging (HSI)

“Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning” LINK




Chemometrics and Machine Learning

“Classification and Recognition Model of Water Saturation Level of Rock Based on Near-Infrared Spectroscopy” LINK

“Developing a Cloud-based Toolbox for Sensitivity Analysis of a Water Quality Model” LINK

“Prediction performance optimization of different resolution and spectral band ranges for characterizing coco-peat substrate available nitrogen” LINK

” The use of Chemometrics to Discriminate Sample Adulteration in Different Levels: the case of Peruvian Maca” LINK

“An EPSO_CNN Approach to Predict the Soil Texture Properties in Smart Farming” LINK

“Prediction of various soil properties for a national spatial dataset of Scottish soils based on four different chemometric approaches: A comparison of near infrared and mid-infrared spectroscopy” LINK

“Discrimination of menstrual and peripheral blood traces using attenuated total reflection Fourier transform-infrared (ATR FT-IR) spectroscopy and chemometrics for forensic purposes” LINK

“Comparison of partial least squaresdiscriminant analysis and soft independent modeling of class analogy methods for classification of Saccharomyces cerevisiae cells based on midinfrared spectroscopy” LINK

“Development of Stable Amorphous Solid Dispersion and Quantification of Crystalline Fraction of Lopinavir by Spectroscopic-chemometric Methods” LINK

“Predicting Moisture Content During Maize Nixtamalization Using Machine Learning with NIR Spectroscopy” LINK

“Prospective inference of bioprocess cell viability through chemometric modeling of fluorescence multiway data” LINK




Optics for Spectroscopy

“Golden Vaterite as a Mesoscopic Metamaterial for Biophotonic Applications” LINK




Facts

” Introduction to Machine Learning and Internet of Things for Management in Agriculture” LINK




Research on Spectroscopy

“Empirical attributes and limitations of methodologies for predicting the degradability of ruminal protein” LINK

“Chemometryassisted UVspectrophotmetric methods for the simultaneous determination of paritaprevir, ritonavir, and ombitasvir in their combined tablet dosage forms: A comparative study” LINK




Equipment for Spectroscopy

“Single-chain antibody-decorated Au nanocages@liposomal layer nanoprobes for targeted SERS imaging and remote-controlled photothermal therapy of melanoma cancer cells” LINK

” Application of hand-held near-infrared and Raman spectrometers in surface treatment authentication of cork stoppers” LINK




Process Control and NIR Sensors

“Bioprocesses” LINK

“Process Measurements” LINK

“IQR CUSUM charts: An efficient approach for monitoring variations in aquatic toxicity” LINK




Environment NIR-Spectroscopy Application

“Saline and Alkaline Stresses Alter Soil Properties And Composition And Structure of Gene-Based Nitrifier And Denitrifier Communities In A Calcareous Desert Soil” LINK

“Modelling of the adsorption of urea herbicides by tropical soils with an AdaptiveNeuralbased Fuzzy Inference System” LINK




Agriculture NIR-Spectroscopy Usage

” Near infrared reflectance spectroscopy for quantification of crop residue, green manure and catch crop C and N f…” LINK

“Remote Sensing, Vol. 13, Pages 1791: Sentinel-2 Exposed Soil Composite for Soil Organic Carbon Prediction” LINK

“Evaluation of cellulose degrading bacteria isolated from the gut-system of cotton bollworm, Helicoverpa armigera and their potential values in biomass conversion” LINK

“Metabolomic Analysis of Cannabinoid and Essential Oil Profiles in Different Hemp (Cannabis sativa L.) Phenotypes” Plants LINK

“A comprehensive and fast microplastics identification based on near-infrared hyperspectral imaging (HSI-NIR) and chemometrics” LINK

“Rapid and Non-Destructive Monitoring of Moisture Content in Livestock Feed Using a Global Hyperspectral Model” LINK




Horticulture NIR-Spectroscopy Applications

“Fast, simultaneous and contactless assessment of intact mango fruit by means of near infrared spectroscopy” LINK




Forestry and Wood Industry NIR Usage

“Remote Sensing, Vol. 13, Pages 1795: Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform” LINK




Food & Feed Industry NIR Usage

“Foods, Vol. 10, Pages 1004: Physical and Thermal Evaluation of Olive Oils from Minor Italian Cultivars” LINK

“Using optimized three-band spectral indices to assess canopy N uptake in corn and wheat” LINK

” Spectroscopic analysis of chia seeds” LINK

“The influence of Chemical Contaminants on the Physicochemical Properties of Unifloral and Multifloral Honey from the North-East Region of Romania” Foods LINK

“A Magnetic Food Texture Sensor and Comparison of the Measurement Data of Chicken Nuggets” Sensors LINK




Pharma Industry NIR Usage

“Pharmaceutical Analysis” LINK

“Rapid Detection of Cellulose and Hemicellulose” LINK




Medicinal Spectroscopy

“Photoreactivity of Hair Melanin from Different Skin Phototypes-Contribution of Melanin Subunits to the Pigments Photoreactive Properties” LINK




Other

“Structural, thermal, dielectric, nonlinear optical properties and DFT investigations of a novel material 2-(6-chloropyridin-3-yl)-N’-(2, 3-dihydro-1, 4-benzodioxin-6 …” LINK

“Atomic-scale insights into quantum-order parameters in bismuth-doped iron garnet” LINK

“PV Modules and Their Backsheets — A Case Study of a Multi-MW PV Power Station. (arXiv:2105.05462v1 [cond-mat.mtrl-sci])” LINK


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.
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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.
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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.


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