Spectroscopy and Chemometrics News Weekly #13, 2020


We have updated the free NIR-Predictor-Software Spectral Data format support list for many mobile and benchtop NIR Spectroscopy Sensors. | Used in QualityControl for Food Fruits Milk Meat LINK

CalibrationModel.com has changed the pricing structure and NIRS-Calibration licensing options (including new perpetual and unlimited systems). NIR Spectroscopy Chemometric AutoML Calibration Development Service milk meet food qualitycontrol LINK

“NIR-Spectroscopy Cost & Price Comparison of Chemometrics, MachineLearning and DataScience for NIRS Application Development” | HomeOffice Laboratory Spectroscopy TimeSaving BetterResults TCO LINK

Do you want better NIRS prediction results? Use your Near-Infrared Analysis data and do recalibration adjustment LINK

Spectroscopy and Chemometrics News Weekly 12, 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 12, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot FoodTech Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie LINK

Spettroscopia e Chemiometria Weekly News 12, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

Near Infrared

The journal Sensors (ISSN 1424-8220) is currently running a Special Issue  “Using Vis-NIR Spectroscopy for Predicting Quality Compounds in Foods” LINK

“Application of NIRS in Nutrient Composition Evaluation of Lathyrus sativus” LINK

“Forecasting the potential of apple fruitlet drop by in-situ Vis-NIR spectroscopy” LINK

“Near infrared spectroscopy (NIRS) data analysis for a rapid and simultaneous prediction of feed nutritive parameters” LINK

“Evaluation by NIRS technology of curing process of ham with low sodium content” LINK

“Optical transmission spectra study in visible and near-infrared spectral range for identification of rough transparent plastics in aquatic environments.” LINK

“Sensors, Vol. 20, Pages 874: Improved Deep CNN with Parameter Initialization for Data Analysis of Near-Infrared Spectroscopy Sensors” LINK

“Terahertz Time of Flight Spectroscopy as a Coating Thickness Reference Method for Partial Least Squares Near Infrared Spectroscopy Models.” LINK

“Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy” LINK

“Glucose Monitoring in Cell Culture with Online Ultrasound-Assisted Near-Infrared Spectroscopy.” LINK

“Development of nearinfrared online grading device for long jujube” LINK

“Nearinfrared reflectance spectroscopy based online moisture measurement in copra” LINK

“Remote Sensing, Vol. 12, Pages 469: Repaid Identification and Prediction of CadmiumLead Cross-Stress of Different Stress Levels in Rice Canopy Based on Visible and Near-Infrared Spectroscopy” LINK

“In vivo relationship between near-infrared spectroscopy-detected lipid-rich plaques and morphological plaque characteristics by optical coherence tomography and …” LINK

“The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared Spectroscopy” LINK

Hyperspectral Imaging

“Applied Sciences, Vol. 10, Pages 1173: Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods” LINK

“Remote Sensing, Vol. 12, Pages 537: Detecting the Sources of Methane Emission from Oil Shale Mining and Processing Using Airborne Hyperspectral Data” LINK

“Comparative analysis of mineral mapping for hyperspectral and multispectral imagery” LINK


“Comparison of the performance of partial least squares and support vector regressions for predicting fatty acids/fatty acid classes in marine oil dietary supplements using vibrational spectroscopic data.” LINK

“Prediction of water contents in biscuits using near infrared hyperspectral imaging spectroscopy and chemometrics” LINK

“Vis-NIR Hyperspectral Imaging for the Classification of Bacterial Foodborne Pathogens based on pixel-wise analysis and a novel CARS-PSO-SVM model” LINK

“Using the random forest model and validated MODIS with the field spectrometer measurement promote the accuracy of estimating aboveground biomass and …” LINK


“A spatially resolved transmittance spectroscopy system for detecting internal rots in onions” LINK


“Use of a handheld near infrared spectrometer and partial least squares regression to quantify metanil yellow adulteration in turmeric powder” LINK


“Remote Sensing, Vol. 12, Pages 574: Advancing High-Throughput Phenotyping of Wheat in Early Selection Cycles” LINK

“Evaluation of analytical and statistical approaches for predicting in vitro nitrogen solubility and in vivo pre-caecal crude protein digestibility of cereal grains in growing pigs.” LINK

“Detecting Frost Stress in Wheat: A Controlled Environment Hyperspectral Study on Wheat Plant Components and Implications for Multispectral Field Sensing” LINK

“Sensors, Vol. 20, Pages 867: Predicting Forage Quality of Warm-Season Legumes by Near Infrared Spectroscopy Coupled with Machine Learning Techniques” LINK

On their page, they offer a “Purchase Instant Access”. Or contact the author. LINK

“Detection of Invisible Damage of Kiwi Fruit Based on Hyperspectral Technique” LINK

“Nondestructive detection of storage time of strawberries using visible/near-infrared hyperspectral imaging” LINK

“Scaling up of NIRS facility in Mali for analysis of biomass quality for GLDC crops Final Technical Report” LINK

Food & Feed

“Comparison of various pharmaceutical properties of clobetasol propionate cream formulations – considering stability of mixture with moisturizer.” LINK

“Foods, Vol. 9, Pages 154: Rapid Identification and Visualization of Jowl Meat Adulteration in Pork Using Hyperspectral Imaging” LINK


What Lab Manager need to know about NIRSpectroscopy total cost of ownership (TCO) and DataScience. LabManagers LabManager FoodQuality Automate QualityControl foodtech foodtechnologies Laboratory LINK


Simple Spectra File Format for CalibrationModel.com NIR-Predictor

Raw-spectra files like this can be read with NIR-Predictor.
ExampleSpectrum1, ExampleSpectrum2, ExampleSpectrum3, ExampleSpectrum4

Example Snippet: “spectrum.csv”
Wavelength,The Sample Name
– One File per spectrum.
– File Extension : .csv
– File Name : can be anything
– Fix in first line : “Wavelength”
– Variable in first line : sample name
– Data as value pairs : wavelength,intensity
– Note: the comma “,” separation is fix and values need to have a decimal point “.”
– Note: that the raw-spectrum is NOT pre-processed (derivatives, normalization).
– Note: the file’s “Date modified” will be used as time-stamp for the spectrum.

Start Calibrate

Build a NIR Calibration

To combine multiple NIR spectra files with the Lab values
use the NIR-Predictor function “Create Properties File…” (F6) (see Video)
then use NIR-Predictor function “CreateCalibration Request…”. (F7)
For details please see the NIR-Predictor online help (F1)