Spectroscopy and Chemometrics News Weekly #20, 2020

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.

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 19, 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 19, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 19, 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)


“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

“Comparison of the Potential Abilities of Three Spectroscopy Methods: Near-Infrared, Mid-Infrared, and Molecular Fluorescence, to Predict Carotenoid, Vitamin and Fatty Acid Contents in Cow Milk ” LINK

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

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

“A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable 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

“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


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

“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

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

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

Raman Spectroscopy

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

Hyperspectral Imaging (HSI)

“Comparative Study on Hyperspectral and Satellite Image for the Estimation of Chlorophyll a Concentration on Coastal Areas” LINK

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

“Dual-camera design for hyperspectral and panchromatic imaging, using a wedge shaped liquid crystal as a spectral multiplexer” LINK

Spectral Imaging

“Functional Imaging of the Ocular Fundus Using an 8-Band Retinal Multispectral Imaging System” LINK

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

Chemometrics and Machine Learning

“Development of spectral signatures and classification using hyperspectral face recognition” LINK

The Google Cloud Developer’s Cheat Sheet. BigData Analytics DataScience AI MachineLearning CyberSecurity IoT IIoT Python RStats TensorFlow Java JavaScript ReactJS CloudComputing Serverless Linux Programming Coding 100DaysofCode LINK

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

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

“Chemometrics as a Green Analytical Tool” LINK


“Systematic review of deep learning techniques in plant disease detection” LINK

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

Environment NIR-Spectroscopy Application

“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

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

Agriculture NIR-Spectroscopy Usage

“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

“Agriculture, Vol. 10, Pages 164: Chemical Variation and Implications on Repellency Activity of Tephrosia vogelii (Hook f.) Essential Oils Against Sitophilus zeamais Motschulsky” LINK

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

Horticulture NIR-Spectroscopy Applications

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

Food & Feed Industry NIR Usage

“Beef Nutritional Quality Testing and Food Packaging” LINK

“Foods, Vol. 9, Pages 619: Evaluation of the Physicochemical and Sensory Characteristics of Different Fig Cultivars for the Fresh Fruit Market” LINK

Laboratory and NIR-Spectroscopy

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


“Sony releases industrial SWIR sensors with 5m pixels” LINK

NIR-Predictor – Frequently Asked Questions (FAQ)

NIR-Predictor – FAQ

Please also refer to the NIR-Predictor – Manual and check the Hints and Notes.

Do you have a calibration file for XY ?

We create custom calibrations out of your NIR + Lab measurements of XY.
We do not sell off-the-shelf calibrations.

I have downloaded the software but can’t see it?

Please note, that the download time will be very short, because of the small file size.
Check your browser’s download folder. The download is the file “NIR-PredictorVx.y.zip”

Why a .zip and no installer (Setup.exe) ?

Because a .zip deploy keeps it simple for all:

  • easy : no Administrator rights needed to install, delete it to uninstall
  • harmless : no system changes during setup
  • transparency : you see what you get

Is there a command line (CLI) version of NIR-Predictor ?

If you want to customize it in all details, our OEM API for NIR-instrument-software (White-Label) integration gives you full access. If you are an NIR-Vendor (or similar) please contact us via email info@CalibrationModel.com

The free NIR-Predictor does not create a model, what is wrong ?

As the name says, the NIR-Predictor just predicts NIR data with a model. To create a model you need to send your data to the CalibrationModel service, after development process you get an email with a link to the calibration where it can be purchased and downloaded.

Why does the creation of the PropertyFile.txt take so long with hundrets of spectra files?

It normally takes only 1-10 seconds not minutes.
Make sure that the spectra data files are stored locally on your main drive
and not on a cloud-drive or network storage or slow USB thumb drive or SD-Card.

Is there a way to use converted ASCII spectrum data to be used in NIR-Predictor?

Yes, this is the simplest ASCII CSV file format the NIR-Predictor supports.
And there are other formats supported.

Can you convert old calibration data from vendor A to be integrated to our new vendor B NIRS calibration data in our instrument?

No, we don’t do model or spectra conversion / transformation (aka model transfer).
We build optimized models with wavelength compatible data.

Does NIR-Predictor contain any malware, spyware or adware?

No, NIR-Predictor does not contain any malware, spyware or adware.

How to copy the prediction results from the table in the browser?

Copy selected columns from the table.
By holding down the Ctrl key, rectangular areas in the table can be selected with the mouse and copied to the clipboard with Ctrl+C and then copied to a spreadsheet program with Ctrl+V.

Will an expired calibration still work?

No. Until you extend the usage time.
The expired calibration file will be moved to the CalibrationExpired folder on the next start of NIR-Predictor or “Search and load Calibrations” menu function.

Selected Calibration files from the folder CalibrationExpired can be send to info@CalibrationModel.com with your Request file (.req) files for extending their usage time.

There is the possibility to get a perpetual usage, which means their is no expiration (valid until 2050).

That way you can get the time extended calibration back, that behaves exactly as the one before with extended usage time.

What does the calibration Expiration date mean exactly on the Prediction Report?

The Expiration date, it is the final day when the calibration will be valid (similar to credit cards).

What does the (number) in brackets after the [range] mean?

During the creation of a Calibration Request the NIR-Predictor shows a message containing
” ‘Prop1’ / “Quantitative [1.40 – 2.90] (154) ”
here 154 is the number of unique values in the property range.

How long does it take to create of the property file and calibration request file from 500 spectra files?

Use a local folder on your computer (not a network drive) for your spectra files then the property file and the calibration request file is created in around 1-3 seconds. (measured on a system with SSD drive, Intel i7, 2.4 GHz)

I tried to create the calibration request and got the error message: The number of Property Values of all spectra are different?

Use the generated PropertiesBySpectra (Note: Spectra not Sample) template file.
Do not reformat the generated template file, just fill in the Property values and save as Text CSV (*.csv) file (not as Excel file “.xlsx”).

Are you able to create the calibration if we only have 20 spectra?

To create a reliable quantitative calibration you need measured spectra of at least 48..60 (more is better) different samples with different Lab-values in the required measuring range!
The NIR-Predictor will check for that automatically.

Same sample measured multiple times (replicate measurements), how to enter the Lab-value only once in Property file?

Use the created PropertiesBySample template (not the PropertiesBySpectra).

Different samples with exact the same Lab-value, how to enter the Lab-Values?

Entering the Lab-values into the generated PropertiesBySpectra template the NIR-Predictor detects them as the same Sample and as a result we have too less different values to build a calibration. But in my case these are different samples with exact the same Lab-value, how to do?

You have to cheat a little bit to make NIR-Predictor do not detect same sample as measured multiple times. This is because most NIR users do replicate measurements on the same sample and NIR-Predictor looks for that. In PropertiesBySpectra modify the values a little bit to make them different, e.g.

Is the free NIR-Predictor software you provide for anyone to download and use?

Yes, if downloaded directly from our homepage by the user.
See also Software License Agreement

What is an Outlier?

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.

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.
See also manual chapter Outliers.

If something is wrong, please tell us

Spectroscopy and Chemometrics News Weekly #20, 2019


What Lab Managers and QC Laboratories need to know about NIR Spectroscopy (NIRS) Calibration LINK

“Automated Analytical Method Development for NIRS. Software/Service Solution for Automation of Machine Learning for the NIR-Spectroscopy Domain.” LINK

Do you use a near-infrared Spectrometer with Chemometric Methods? This will save you time NIR NIRS SWIR FTNIR LINK

Neue Möglichkeiten in der Entwicklung von Applikationen für die NIR-Analytik | Labor NIRS Analytik LaborAnalytik LINK

Rapid development of robust quantitative methods by near-infrared spectroscopy for NIR NIRS LINK

Spectroscopy and Chemometrics News Weekly 19, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 19, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 19, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK

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


” Prediction of Intermuscular Fat of lamb topside in-situ using Near Infrared Spectroscopy” LINK

“Comparison of Unsupervised Algorithms for Vineyard Canopy Segmentation from UAV Multispectral Images” RemoteSensing LINK

“复烤片烟常规化学成分的傅里叶变换近红外光谱法的模型转移” “Model Transfer of Routine Chemical Components in Redried Lamina on Fourier Transform Near Infrared Spectroscopy” LINK

“血浆醇沉过程中近红外光谱在线蛋白含量监测及定量模型转移研究” “On-line protein content monitoring and quantitative model transfer in near-infrared spectroscopy during plasma alcohol deposition” LINK

“A Sparse Classification Based on a Linear Regression Method for Spectral Recognition” LINK

“Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics” LINK

“Rock lithological classification by hyperspectral, range 3D and color images” LINK

“Modeling of oil near-infrared spectroscopy based on similarity and transfer learning algorithm” LINK

“Recent advances in modeling vibrational spectra of food adulterants Theoretical simulation of IR and NIR bands of melamine” LINK

“Fine root lignin content is well predictable with near-infrared spectroscopy” LINK

“Study on identification of different producing areas of Gastrodia elata using multivariable selection and two-dimensional correlation spectroscopy of near infrared spectroscopy” LINK

“Discrimination of Trichosanthis Fructus from Different Geographical Origins Using Near Infrared Spectroscopy Coupled with Chemometric Techniques” LINK

Near Infrared

“FT-NIR spectroscopy coupled with multivariate analysis for detection of starch adulteration in turmeric powder.” LINK

“< 전시-P-67> 근적외선 분광법에 의한 Fenton oxidation-열수처리 고형바이오매스 성분분석” “Analysis of chemical component of pretreated biomass by Fenton oxidation-hydrothermal treatment using near infrared spectroscopy” LINK

“Rapid and non-destructive analysis for the identification of multi-grain rice seeds with near-infrared spectroscopy.” LINK

“Near infrared spectroscopy enables quantitative evaluation of human cartilage biomechanical properties during arthroscopy” LINK

“Near-Infrared Light Emitting Diode Based Non-Invasive Glucose Detection System” LINK

“Rapid bacteria selection using Aquaphotomics and near infrared spectroscopy” LINK

“Characterisation of organic colourants in ukiyo-e prints by Fourier transform near infrared fibre optics reflectance spectroscopy” LINK


“Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices.” LINK


“Determining the significance of individual factors for orthogonal designs” LINK

“Exploring the Influence of Spatial Resolution on the Digital Mapping of Soil Organic Carbon by Airborne Hyperspectral VNIR Imaging” RemoteSensing LINK


“Determination of calcium and magnesium in the Solanaceae plant by near infrared spectroscopy combined with interval combination optimization algorithm” LINK

“The Effect of Omega-3 and Omega-6 Polyunsaturated Fatty Acids on the Production of Cyclooxygenase and Lipoxygenase Metabolites by Human Umbilical Vein Endothelial Cells” Nutrients Omega3 Omega6 LINK

“Assessing the potential of two customized fiber-optic probes for on-site analysis of bulk feed grains” LINK

Food & Feed

“Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy” Foods LINK


“Review of New Spectroscopic Instrumentation 2019” LINK

“Development of an optical biosensor for the detection of Trypanosoma evansi and Plasmodium berghei.” LINK


Spectroscopy and Chemometrics News Weekly #32, 2018

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


“Quantification of active ingredients in Potentilla tormentilla by Raman and infrared spectroscopy.” LINK

“Selecting the Best Machine Learning Algorithm for Your Regression Problem” LINK

New Release via OSA_Optica: Machine Learning Technique Reconstructs Images Passing through a Multimode Fiber. “The new method showed remarkable robustness against environmental instabilities even over long fibers.” Read More: LINK

“Building Reliable Machine Learning Models with Cross-validation” LINK

“Assessing the capability of Fourier transform infrared spectroscopy in tandem with chemometric analysis for predicting poultry meat spoilage” LINK

“Rapid identification and quantification of Panax notoginseng with its adulterants by near infrared spectroscopy combined with chemometrics.” Adulteration LINK

“Quantitative analysis modeling of infrared spectroscopy based on ensemble convolutional neural networks” LINK

“Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification” LINK

“Rapid detection of three quality parameters and classification of wine based on Vis-NIR spectroscopy with wavelength selection by ACO and CARS algorithms.” LINK

Near Infrared

“Single-trial NIRS data classification for brain-computer interfaces using graph signal processing.” LINK

“Non-destructive prediction of protein content in wheat using NIRS.” Nondestructive LINK

“Fast authentication of tea tree oil through spectroscopy.” NIRS AnalyticalChemistry LINK

“Real time release testing of tablet content and content uniformity.” | Pharma dosage QualityByDesign QbD NIRS LINK

“Physical Barrier Type Abuse-Deterrent Formulations: Monitoring Sintering-Induced Microstructural Changes in Polyethylene Oxide Placebo Tablets by Near Infrared Spectroscopy (NIRS).” LINK

“Rapid Authentication and Quality Evaluation of Cinnamomum verum Powder Using Near-Infrared Spectroscopy and Multivariate Analyses.” LINK


“New study first to demonstrate a chip-scale broadband optical system that can sense molecules in the mid-infrared” LINK


“An improved method based on a new wavelet transform for overlapped peak detection on spectrum obtained by portable Raman system” LINK


“A small team of student AI coders beats Google’s machine-learning code” LINK

“Machine Learning Technique Reconstructs Images Passing through a Multimode Fiber” LINK


“Are your spectroscopic data FAIR?” – FAIR stands for Findable, Accessible, Interoperable, Reusable. – IUPAC JCAMP-DX 6.0 is coming…. – spectroscopy LINK

Process Control

The key concept of sampling errors – the Theory of Sampling (TOS) – is applied in key industrial sectors (mining, minerals, cement and metals processing). LINK


“Canopy Hyperspectral Sensing of Paddy Fields at the Booting Stage and PLS Regression can Assess Grain Yield” LINK

“Agricultural Applications of Spectroscopy – The basic principle of spectroscopy involves dissecting the light of a specific object into various wavelengths that represent different physical properties of the object, some of which include temperature..” LINK


“ILS: An R package for statistical analysis in Interlaboratory Studies” LINK


Near Infrared (NIR) Analysis Software, work smart with all NIR Spectrometers for quantitative sensing & detection. | AnalyticalChemistry LabManger Chemical Analysis Equipment ChemicalAnalysis Analytical Instruments Laboratory LabEquipment LINK

New : FREE NIR Predictor Software, drag&drop spectral data to plug&play calibrations, for any NIRS Analysis sensor type. | Chemometrics Prediction LINK

Spectroscopy and Chemometrics News (KW #11-#30 2018)


“Identifying and filtering out outliers in spatial datasets” (2018.07.25) LINK

“Phenomic selection: a low-cost and high-throughput method based on indirect predictions. Proof of concept on wheat and poplar.” (2018.07.25) LINK

“An improved variable selection method for support vector regression in NIR spectral modeling” (2018.07.25) LINK

“Near-Infrared Spectroscopy and Chemometrics for the Routine Detection of Bilberry Extract Adulteration and Quantitative Determination of the Anthocyanins” (2018.07.25) LINK

“Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration” (2018.07.25) LINK

“Automated NIR-Spectroscopy chemometrics-method development with machine-learning for spectrometers, spectral IoT-sensor/smart-sensors” – read without Hashtags (2018.07.25) LINK

An interesting explanation of “Automated Machine Learning vs Automated Data Science” | Automated MachineLearning DataScience (2018.07.03) LINK

“Evaluation of Quality Parameters of Apple Juices Using Near-Infrared Spectroscopy and Chemometrics” (2018.07.02) LINK

“Chemometric approaches for document dating: Handling paper variability” (2018.06.27) LINK

“Development and comparison of regression models for the determination of quality parameters in margarine spread samples using NIR spectroscopy” (2018.06.27) LINK

“The non-destructive technique such as Near Infrared Spectroscopy (NIRS) along with Chemometrics has been successful in predicting the quality parameters but not well established for on-vine/in-orchard fruit quality measurement.” (2018.06.27) LINK

“Quantification of leghaemoglobin content in pea nodules based on near infrared hyperspectral imaging spectroscopy and chemometrics” (2018.06.15) LINK

“Exploring the Applicability of Quantitative Models Based on NIR Reflectance Spectroscopy of Plant Samples” | tobacco (2018.06.15) LINK

“Interval lasso regression based Extreme learning machine for nonlinear multivariate calibration of near infrared spectroscopic datasets” (2018.06.05) LINK

“Soft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis” (2018.06.05) LINK

“Temporal decomposition sampling and chemical characterization of eucalyptus harvest residues using NIR spectroscopy and chemometric methods” (2018.06.05) LINK

: The emission spectrum of each element is a unique identifier — like the DNA of the element — and the spectral analysis of a light source is essentially a Principal Component Analysis of its components — like explanatory DataScience. Get your p… (2018.06.05) LINK

“Rice Classification Using Hyperspectral Imaging and Deep Convolutional Neural Network” DCNN (2018.05.31) LINK

“Development and comparison of regression models for determination of quality parameters in margarine spread samples using NIR spectroscopy” (2018.05.31) LINK

“Application of FTIR Spectroscopy and Chemometrics for Halal Authentication of Beef Meatball Adulterated with Dog Meat” (2018.05.31) LINK

Prediction of amino acids, caffeine, theaflavins and water extract in black tea by FT-NIR spectroscopy coupled chemometrics algorithms (2018.05.31) LINK

Chemometrics in Analytical Chemistry (CAC) Conference, Halifax, 17th CAC Meeting, June 25-29, 2018 (2018.05.31) LINK

Spatially Resolved Spectral Powder Analysis: Experiments and Modeling (2018.04.05) LINK

Calibration Transfer based on the Weight Matrix (CTWM) of PLS for near infrared (NIR) spectral analysis (2018.04.05) LINK

“A novel multivariate calibration method based on variable adaptive boosting partial least squares algorithm” (2018.03.28) LINK

“How Many ML Models You Have NOT Built?” (2018.03.28) LINK

“Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation” (2018.03.27) LINK

“Application of NIR spectroscopy and chemometrics for revealing of the ‘high quality fakes’ among the medicines” (2018.03.27) LINK

“Dual-Domain Calibration Transfer Using Orthogonal Projection” (2018.03.14) LINK

“A Review of Calibration Transfer Practices and Instrument Differences in Spectroscopy” (2018.03.14) LINK

Near Infrared

“Near-infrared chemical imaging used for in-line analysis of functional finishes on textiles.” (2018.07.25) LINK

“A comparison between NIR and ATR-FTIR spectroscopy for varietal differentiation of Spanish intact almonds” (2018.07.25) LINK

Worked examples of MSC and SNV correction for NIR spectroscopy in Python. nirs (2018.07.25) LINK

“Evolution of Frying Oil Quality Using Fourier Transform Near-Infrared (FT-NIR) Spectroscopy” – FryingOil FTNIR (2018.07.25) LINK

“Evaluation of drying of edible coating on bread using NIR spectroscopy” (2018.07.25) LINK

very interesting article. NIRS is cheaper than molecular markers (2018.07.13) LINK

FlowChemMondays application of a portable near-infrared spectrophotometer (MicroNIR) for in-line monitoring of the synthesis of 5-hydroxymethylfurfural (5-HMF) from D-fructose is described in OPRD | flowchemistry (2018.07.03) LINK

“Accurate and rapid detection of soil and fertilizer properties based on visible/near-infrared spectroscopy” (2018.06.25) LINK

“Detection of Veterinary Antimicrobial Residues in Milk through Near-Infrared Absorption Spectroscopy” (2018.06.05) LINK

“Calibration is key – the calibration is the most important part of the NIRS method” near-infrared reflectance spectroscopy NIRS – from the lab to the field… forage quality agchat handheldNIRS Lab2Field (2018.06.05) LINK

“Assessment of tomato soluble solids content and pH by spatially-resolved and conventional Vis/NIR spectroscopy” (2018.05.31) LINK

“A novel method for geographical origin identification of Tetrastigma hemsleyanum (Sanyeqing) by near-infrared spectroscopy” (2018.05.31) LINK

“Effects of moisture on automatic textile fiber identification by NIR spectroscopy” (2018.05.31) LINK

“Rapid, noninvasive detection of Zika virus in Aedes aegypti mosquitoes by near-infrared spectroscopy” (2018.05.31) LINK

Method for Identifying Maize Haploid Seeds by Applying Diffuse Transmission Near-Infrared Spectroscopy (2018.04.05) LINK

This article is about NIR Spectroscopy. (2018.03.27) LINK

“Combining Fractional Order Derivative and Spectral Variable Selection for Organic Matter Estimation of Homogeneous Soil Samples by VIS-NIR Spectroscopy” (2018.03.27) LINK

“Concentration monitoring with near infrared chemical imaging in a tableting press” (2018.03.14) LINK

“NIR Chemical Imaging Can Help Maintain the Safety of Pharmaceutical Tablets” | NIRCI (2018.03.14) LINK


“High Throughput Screening of Elite Loblolly Pine Families for Chemical and Bioenergy Traits with Near Infrared Spectroscopy” (2018.07.25) LINK

“Non-Destructive Methodology to Determine Modulus of Elasticity (MOE) in Static Bending of Quercus mongolica Using Near-Infrared Spectroscopy” wood (2018.06.27) LINK

“Near infrared spectroscopy as an alternative method for rapid evaluation of toluene swell of natural rubber latex and its products” (2018.06.25) LINK

“The Application of Discrete Wavelet Transform with Improved Partial Least-Squares Method for the Estimation of Soil Properties with Visible and Near-Infrared Spectral Data” (2018.06.05) LINK

“Mutual factor analysis for quantitative analysis by temperature dependent near infrared spectra.” (2018.03.27) LINK

“Evaluating the Applications of the Near-Infrared Region in Mapping Foliar N in the Miombo Woodlands” (2018.03.27) LINK


“Differentiating Donor Age Groups Based on Raman Spectroscopy of Bloodstains for Forensic Purposes” (2018.06.27) LINK


“Evaluation of Near-Infrared Hyperspectral Imaging for Detection of Peanut and Walnut Powders in Whole Wheat Flour” (2018.07.03) LINK

“Potential of Visible and Near-Infrared Hyperspectral Imaging for Detection of Diaphania pyloalis Larvae and Damage on Mulberry Leaves” (2018.07.03) LINK

“Quantification of leghaemoglobin content in pea nodules based on near infrared hyperspectral imaging spectroscopy and chemometrics” (2018.06.15) LINK


“Spectral Fiber Sensors for Cancer Diagnostics” by artphotonics | Optical Fibers (2018.07.03) LINK


“This is your brain detecting patterns. It is different from other kinds of learning, study shows” (2018.06.01) LINK


Android Tricorder: Google übernimmt Startup, das Körperwerte mit dem Smartphone messen kann (2017.08.16) LINK


“Comparing the qualitative performances of handheld NIR and Raman spectrometers for the analysis of falsified pharmaceutical products.” (2018.07.25) LINK

“Tiny $25 Spectrometer Aims to Identify Materials with Ease” (2018.05.31) LINK

“Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils” (2018.03.28) LINK


Nonlinear Regression with High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis (2018.02.02) LINK


“Bluret Protein Measurement Machine, a technological disrupter of its day” (2018.07.03) LINK

“Identification and quantification of microplastics in table sea salts using micro-NIR imaging methods” (2018.05.31) LINK

Food & Feed

“Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression” (2018.03.27) LINK

Rapid Determination of Active Compounds and Antioxidant Activity of Okra Seeds Using Fourier Transform Near Infrared (FT-NIR) Spectroscopy FTNIR Polyphenols Flavonoids AntioxidantActivity | (2018.03.03) LINK


“Quantification of pharmaceuticals contaminants in wastewaters by NIR spectroscopy” (2018.07.25) LINK


Spectroscopy used to be confined to the laboratory. Today, portable NeoSpectra SpectralSensors bring the power of NIR out of the lab and into the field. (2018.06.20) LINK


“Non-Destructive Methodology to Determine Modulus of Elasticity (MOE) in Static Bending of Quercus mongolica Usin… (2018.06.27) LINK

“The Application of Discrete Wavelet Transform with Improved Partial Least-Squares Method for the Estimation of… (2018.06.05) LINK

: The emission spectrum of each element is a unique identifier — like the DNA of the element — and the spectral analysis of a light source is essentially a Principal Component Analysis of its components — like explanatory DataScience. Get your p… (2018.06.05) LINK

An Innovative Approach to Exploit the Reflection Spectroscopy of Liquid Characteristics (2018.04.05) LINK

“Combining Fractional Order Derivative and Spectral Variable Selection for Organic Matter Estimation of Homogeneous Soil Samples by VIS-NIR Spectroscopy” (2018.03.27) LINK

Spectroscopy and Chemometrics News Weekly #51+52, 2016

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Quantification of quality parameters in castanhola fruits by NIRS for the development of prediction models using… LINK


USB3.0 SWIR OEM Linescan Camera for Machine Vision & Spectroscopy — Princeton Infrared Technologies, Inc. LINK

Near Infrared

An easy and effective way to screen chemicals in cosmetics? Introducing, Near Infrared Analyser (NIR)! LINK


Identification and Evaluation of Composition in Food Powder Using Point-Scan Raman Spectral Imaging LINK

Spectral Imaging

Low-Cost Spectral Imaging on the Horizon | SpectralImaging LINK

Food & Feed

The plastic rice scam reaches Africa (Nigeria to be accurate). Food fraudsters compared to drug dealers LINK!


Handheld Raman Spectrometer for On-Site Verification of Materials in Seconds – Mira M-3 LINK

“Bruker Announces Acquisition of Active Spectrum Micro-ESR Business” (Electron Spin Resonance Spectroscopy) LINK


Disruptive Technology in 201X and Beyond IoT MobileFirst TechnologyTrends LINK


Efficient Spectroscopic Analysis Method Development and Data Analysis for Robust and Exact NIRS Measurement Results LINK

Increase Your Profit with optimized NIRS Accuracy FoodSafety Qualitätssicherung LINK

Services for Optimization of Chemometric Application Methods of Near-Infrared Spectroscopy | NIRS Quality Control LINK