Spectroscopy and Chemometrics/Machine-Learning News Weekly #40, 2021

NIR Calibration-Model Services

Improve Accuracy of fast Nondestructive NIR Analytics by Optimal Calibration | Food Feed FoodSafety ag Lab LINK

Increase Your Profit with optimized NIR Accuracy Process Protein Oil plastic colors paints milk soy Soybean LINK

Spectroscopy and Chemometrics News Weekly 39, 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 39, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 39, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

Near-Infrared Spectroscopy (NIRS)

“Convenient use of near-infrared spectroscopy to indirectly predict the antioxidant activitiy of edible rose (Rose chinensis Jacq “Crimsin Glory” HT) petals during …” LINK

“Near-infrared emission from spatially indirect excitons in type II ZnTe/CdSe/(Zn,Mg)Te core/double-shell nanowires” LINK

“Rapid Detection of Fatty Acids in Edible Oils Using Vis-NIR Reflectance Spectroscopy with Multivariate Methods” LINK

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

“Methylglyoxal Adducts Levels in Blood Measured on Dried Spot by Portable Near-Infrared Spectroscopy” LINK

“Application of Near-Infrared Spectroscopy to statistical control in freeze-drying processes” LINK

“TeaNet: Deep learning on Near-Infrared Spectroscopy (NIR) data for the assurance of tea quality” LINK

“Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study” | LINK

“Dry Matter Estimation of Standing Corn with Near-infrared Reflectance Spectroscopy” LINK

“Conditional-GAN Based Data Augmentation for Deep Learning Task Classifier Improvement Using fNIRS Data” | LINK

“Application of Various Algorithms for Spectral Variable Selection in NIRS Modeling of Red Ginseng Extraction” LINK

“Vis-NIR hyperspectral imaging along with Gaussian process regression to monitor quality attributes of apple slices during drying” LINK

“Potential of Near Infrared Spectroscopy as a Rapid Method to Discriminate OTA and Non-OTA-Producing Mould Species in a Dry-Cured Ham Model System” LINK

“Pendugaan Tingkat Fermentasi Kakao Secara Non-Destruktif dengan NIRS” LINK

“Penentuan Tingkat Kekerasan dan Kemanisan Buah Naga Merah (Hylocereus polyrhizus) Secara Nondestruktif Menggunakan Near Infrared Spectroscopy (NIRS)” LINK

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


“A novel strategy of “pick the best of the best” for the nondestructive identification of Poria cocos based on near-infrared spectroscopy” LINK

“The Neural Processing of Vocal Emotion After Hearing Reconstruction in Prelingual Deaf Children: A Functional Near-Infrared Spectroscopy Brain Imaging Study” LINK

“Antinutrient to mineral molar ratios of raw common beans and their rapid prediction using near-infrared spectroscopy” LINK

“Effect of spectral pretreatment on qualitative identification of adulterated bovine colostrum by near-infrared spectroscopy” LINK

“A Rotational-Linear Sample Probing Device to Improve the Performance of Compact Near-Infrared Spectrophotometers” LINK

“Machine Learning Calibration for Near TS Infrared Spectroscopy Data: A Visual kkS Programming Approach” LINK

Hyperspectral Imaging (HSI)

“Selecting informative bands for partial least squares regressions improves their goodness-of-fits to estimate leaf photosynthetic parameters from hyperspectral data” LINK

“Hyperspectral detection of salted sea cucumber adulteration using different spectral preprocessing techniques and SVM method” LINK

“An automated approach for fringe frequency estimation and removal in infrared spectroscopy and hyperspectral imaging of biological samples” LINK

“New evidence from hyperspectral imaging analysis on the effect of photobiomodulation therapy on normal skin oxygenation” LINK

Chemometrics and Machine Learning

“The Use of Chemometrics for Classification of Sidaguri (<i>Sida rhombifolia</i>) Based on FTIR Spectra and Antiradical Activities” LINK

“Massive spectral data analysis for plant breeding using parSketch-PLSDA method: Discrimination of sunflower genotypes” LINK

“Htype indices with applications in chemometrics I: hmultiple similarity index” LINK

“Near-Infrared Spectroscopy and Machine Learning-Based Classification and Calibration Methods in Detection and Measurement of Anionic Surfactant in Milk” LINK

“Remote Sensing : Validation of FY-3D MERSI-2 Precipitable Water Vapor (PWV) Datasets Using Ground-Based PWV Data from AERONET” LINK

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

“Foods : Imaging Spectroscopy and Machine Learning for Intelligent Determination of Potato and Sweet Potato Quality” LINK

“Estimating the Forage Neutral Detergent Fiber Content of Alpine Grassland in the Tibetan Plateau Using Hyperspectral Data and Machine Learning Algorithms” LINK

“Optical spectroscopy methods for the characterization of sol-gel materials” LINK

“Sensors : Machine Learning Enhances the Performance of Bioreceptor-Free Biosensors” LINK

“Agronomy : How Different Cooking Methods Affect the Phenolic Composition of Sweet Potato for Human Consumption (Ipomea batata (L.) Lam)” LINK

Equipment for Spectroscopy

“Miniaturized VIS-NIR Spectrometers Based on Narrowband and Tunable Transmission Cavity Organic Photodetectors with Ultrahigh Specific Detectivity above 10(14) Jones” LINK

In the market for a palm spectrometer, bandpass filter, or microscopy stage? Those and more are featured in the October Product Showcase out today. | photonics optics LINK


Process Control and NIR Sensors

“Multi-modal diffuse optical spectroscopy for high-speed monitoring and wide-area mapping of tissue optical properties and hemodynamics” LINK

“Process analytical technique (PAT) miniaturization for monoclonal antibody aggregate detection in continuous downstream processing” LINK

“Development of a Robust Control Strategy for Fixed-Dose Combination Bilayer Tablets with Integrated Quality by Design, Statistical, and Process Analytical …” LINK

Environment NIR-Spectroscopy Application

“Recent Advances in Plasmonic Photocatalysis Based on TiO2 and Noble Metal Nanoparticles for Energy Conversion, Environmental Remediation, and Organic Synthesis” LINK

“Mapping liquid water content in snow: An intercomparison of mixed-phase optical property models using hyperspectral imaging and in situ measurements” LINK

“Estimating Atterberg limits of soils from reflectance spectroscopy and pedotransfer functions” LINK

Agriculture NIR-Spectroscopy Usage

“Seeing the wood for the trees: hyperspectral imaging for high throughput QTL detection in raspberry, a perennial crop species” LINK

“Agronomy : Effect of Different Edaphic Crop Conditions on the Free Amino Acid Profile of PH-16 Dry Cacao Beans” LINK

Horticulture NIR-Spectroscopy Applications

“Application of Hyperspectral Imaging for Maturity and Soluble Solids Content Determination of Strawberry With Deep Learning Approaches” LINK

“Predicting soluble solids content in “Fuji” apples of different ripening stages based on multiple information fusion” LINK

Food & Feed Industry NIR Usage

“Effects of cultivars and fertilization levels on the quality of brown and polished rice” LINK

“Foods : Physicochemical and Functional Properties of Snack Bars Enriched with Tilapia (Oreochromis niloticus) by-Product Powders” LINK

“Using data science to combat poverty” | BASE foodwaste LINK

“Foods : HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent Incidents” LINK

“A novel approach to identify the spectral bands that predict moisture content in canola and wheat” LINK

Medicinal Spectroscopy

“Investigating spectroscopic measurement of sublingual veins and tissue to estimate central venous oxygen saturation” LINK

“Detection of the Communication Site by Indocyanine Green Adsorbed to Human Serum Albumin Fluorescence During Surgery for a Pleuroperitoneal …” LINK



“Efecto del ambiente ruminal y la fuente de fibra sobre la dinámica de desaparición de la materia orgánica y sus componentes en bovinos en confinamiento.” LINK

“催熟对采后菠萝品质的影响与光谱识别” 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.
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

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.

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.

Make sure to backup your reports and calibrations inside your “NIR-Predictor” folder. Delete the “NIR-Predictor” folder.

Start Calibrate

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