Spectroscopy and Chemometrics News Weekly #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
Spectra Plot

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


“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


“Microsoft lays off journalists to replace them with AI” LINK

NIR-Predictor supported Spectral Data File Formats

It’s easy to use with NIR-Predictor,
just drag & drop your data for prediction results,
you don’t need to specify the instrument type and settings!
You don’t need a chemometrics software!
You don’t need to write code for using machine learning!

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See the features NIR-Predictor – Release Notes History

Mobile NIR and Desktop NIR

The NIR Calibration Service and free NIR prediction Software is available for the following NIR analysers.
Download the free NIR-Predictor Software, with sample spectrum files and demo calibration models included, to create reported analysis results.
And let us help you, to develop your individual customized optimal robust predictions models!

NIR-Predictor supported spectral data file Formats vs. Vendor : Software : NIR Instrument.

CSV, TXT = Simple Spectra File Format for NIR-Predictor

JCAMP-DX = Joint Committee on Atomic and Molecular Physical data-Data eXchange

JCAMP-DX  = Joint Committee on Atomic and Molecular Physical data-Data eXchange
|JSON     = JavaScript Object Notation   
||CSV,TXT = Comma Separated Value, Text File
|||Vendor = Vendor Specific
||||SPC   = Thermo-Scientific / Galactic GRAMS .SPC spectra file format
----------= Custom Data =-------------------------------------------------------------------------------------------------------
X-X-X   Custom Data : Simple Spectral File Format or JCAMP-DX or SPC
----------= Mobile NIR Spectroscopy Analyzer / Mobile Spektroskopie =-----------------------------------------------------------
X-X--   Allied Scientific  : NIRscan Nano Gui  : NIRVascan         
--X--   ams                :                   : Smart Spectral Sensor, Moonlight Multispectral, Spectral Triad
X---X   AVANTES            : AvaSoft           : AvaSpec, AvaSpec-Mini
X-X--   InnoSpectra        : ISC NIRScan Winform GUI : NIR-S-G1 
X-X-X   Ocean Optics       : OceanView, JAZ, SpectraSuite : Flame-NIR, NanoQuest, NIRQuest, Maya2000, USB2000, USB4000, STS-NIR
--X--   PIXELTEQ           :                   : NIR PixelSensor Evaluation Kit
XXX--   SCiO               : SCiO              : SCiO
--X--   Senorics           : Senosoft          : NIR Evaluation Kit
X--X-   Si-Ware Systems    : SpectroMOST       : NeoSpectra Micro, NeoSpectra-Micro Development Kit
X-X--   Spectral Engines   :                   : NIRONE, NR 2.0-W
X--X-   Spectral Evolution : DARWin            : SR-8800, SR-6500, RS-5400, RS-3500, PSR-2500, UDS-1100, PSR-1100f, PSR+
X--X-   StellarNet         : ChemWiz           : DWARF-Star NIR
X-X--   Tellspec           : Tellspec          : Tellspec, see Texas Instruments DLP 
X-X--   Texas Instruments  : NIRscan Nano Gui  : DLP NIRscan Nano EVM, DLPNIRNANOEVM, DLP2010NIR, DLP4500NIR, DLP650LNIR
XX---   trinamiX           :                   : Hertzstück     
X-X-X   VIAVI (JDSU)       : MicroNIR Pro      : MicroNIR OnSite, MicroNIR 1700, MicroNIR 2200
----------= Desktop/Benchtop NIR Analyzer =------------------------------------------------------------------------------------
X----   BUCHI              : NIRWise, NIRCal   : ProxiMate, NIRFlex, NIRMaster, N500, N400
----X   BRUINS             : Omega-Pro analysis: FoodCheck, InfraScan, InfraCheck                        
X----   BRUKER             : OPUS              : Tango, MPA, Matrix     
X---X   BWTEK              : BWSpec, BWIQ      : i-Spec 25, i-Spec 17/17B/22
X----   FOSS               : FossCalibrator, WinISI : XDS, DS2500, DA1650, N5000, N6500, Infraxact
X---X   GALAXY SCIENTIFIC  : Spectral Sage     : QuasIR 2000, QuasIR 3000, QuasIR 4000
X-X--   METROHM            : Vision Air        : NIRS XDS, NIRS DS2500
X---X   PERTEN             : Simplicity        : DA 7200, DA 7250, DA 7300, DA 7400, DA 7520, Inframatic 9520 
X---X   Polytec            :                   : PSS 1720, PSS 1750, PSS 2120, PSS 2220
X---X   Q-Interline        : Horizon QI        : ABB Bomem FT technology
X---X   tec5               : MultiSpec         : MultiSpec Pro, AgroSpec, 
X---X   Thermo Scientific  : GRAMS PLSplus/IQ, OMNIC : Antaris II, Nicolet iS5N, microPHAZIR RX 
X---X   UNITY Scientific   : UCal              : SpectraStar 2500 2400 2200
X---X   ZEISS              : Aspect Plus       : Corona Extreme, CORONA, AURA, MMS, CGS, MCS FLEX, PGS-NIR
X---X   more



  • X supported
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