NIR Calibration Service explained

Our Service is different

  • We build the optimal quantitative prediction models for your NIR analytical needs (No need for mathematical/statistical model building software usage at your site).
  • The NIR-Predictor software and the calibration models are at your site. No internet connection needed to our service. You can do unlimited predictions, that allows fast measurement cycles with no extra cost (Not payed per prediction).
  • You own your NIR + Lab data and the calibrations. You can have access to the detailed Calibration Report with all the settings and statistics (No Black-Box Models).

Get NIR Calibrations

Get NIR Calibrations - Workflow
Your 4 steps to the applicable NIR calibration:
  1. Download free NIR-Predictor here
  2. Combine your NIR-Spectra with Lab-Reference values, see Video for 2. and 3. (manual)
  3. Create a Calibration Request and sent it to (CM)
  4. After processing you will get a link to the Web Shop to download the calibrations.

Use NIR Calibrations

Use NIR Calibrations Workflow
see more Videos

In other words

Calibration Model simplifies the process of training machine learning models for NIRS data while providing an opportunity to trying different algorithms and applied near-infrared spectroscopy (NIRS) knowledge. It’s more than an AutoML platform, it’s a full service where you can download the optimal model and its describing Calibration Report that provide insights into the data preparation, feature engineering, model training, and hyperparameter tuning.

Start Calibrate

Five Mistakes to avoid on Digitalization in NIR-Spectroscopy – that Lab Managers, Executives and CEOs must know!

The fast and non-destructive NIR-Spectroscopy analysis method is based on predictive models that are built upon spectral and Lab reference data.

Developing such models with Chemometric techniques or Machine Learning Algorithms can now be fully automatized with many advantages.

If your company uses NIR-Spectroscopy, do you know if your company yet tried this calibration service? And if not, why not?

Here are some possible reasons why such services are blocked in your company.

With the knowledge where and why it may be blocked, you are able to overcome the barriers and go for innovation.

Misbeliefs of People that may block Advanced Services (AI and Automatic Machine Learning)

5 Mistakes to avoid on Digitalization in NIR-Spectroscopy
Misbeliefs People Remove barriers
1 You need to program or scripting with data modeling tools (R, Phyton, TensorFlow, Matlab, sas, SPSS, H2O, scikit, …..) The opinion that only PhD (statisticians, data scientists) are smart enough to create models. Give the service a try, and compare! There are free trials for calibration development.
2 We have done it always manually by hand. We must see the plots and interpret the stats in every step.
Job protectionism : “My job will dramatically change if that will work, so I will never prepare real-life data to give someone a possibility to try such a service.”
AI / ML haters (NIR-Specialists, NIR-Experts) don’t belive in automated calibration. Give the service a try, and compare! You will see plots and stats! There are free trials for calibration development.
3 Against any new hardware, software or service because of supposed new problems. Preserving ones – the permission gate keepers (IT) Give it a try, without an account, download the free NIR-Predictor software (full version, no limitations) with included demo data, it installs and runs without Administrator priviledge!
4 Ensures that new methodologies follow the rules. Any new thing will give extra work for them. Compliance and Regulation officers. Get access to the detailed model blueprint (ISO 12099) – there is no vendor lock-in or black-box model. You can even anonymize your data for Knowledge Protection – see JCAMP-Anonymizer.
5 Our employees are open for new things. Our employees do not block. Managers, executives, board level. Remove the Barriers to Innovation!

Start Calibrate

Start Calibrate – NIR Quick Guide

More Details

Quick Start NIR Workflow: step by step

1. Check if your NIR-Device Data Format is directly supported (anyway you can convert to JCAMP) : NIR-Predictor supported Spectral Data File Formats

2. Download the free NIR-Predictor Software that contains demo data so you can play with it to see if it is the way you want analyse your NIR spectra (no registration needed) : NIR-Predictor Download

3. With your “NIR device” measurement software:

  • measure samples with NIR, that gets you spectra files,
  • label them with a proper sample name, so you know which is which,
  • and determine quantitative reference values by Laboratory reference method.
  • at least 60 samples with different contents is needed for a minimal calibration.
  • NIR-Predictor helps to create a template file (.csv) to enter the Lab values.

4. Creating your own Calibrations with NIR-Predictor to combine your NIR and Lab data for a calibration request : watch Video read Manual


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 “”

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

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 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 #21, 2019

Near Infrared (NIR) Analysis Software, work smart with all NIR Spectrometers for quantitative sensing & detection. NIRS Prediction model software | NIR Lab Application Software | Software Tool for Chemometric Application | Evaluate and develop NIR spectroscopy applications | AnalyticalChemistry LabManger Chemical Analysis Equipment ChemicalAnalysis Analytical Instruments Laboratory LabEquipment LINK

Spectroscopy and Chemometrics News Weekly 20, 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 20, 2019 | NIRS NIR Spektroskopie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 20, 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 – Low-Cost-NIRS-Sensors. Check out their product page … 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

“Quality Control Parameters in the Roasted Coffee Industry: a Proposal by Using MicroNIR Spectroscopy and Multivariate Calibration” 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

“Near-Infrared Spectroscopy for Non-Destructive Prediction of Maturity and Eating Quality of ‘Carabao’Mango (Mangifera indica L.) Fruit” LINK

“The feasibility study of non-destructive detection of cashmere by near-infrared spectroscopy and data driven-based class-modeling” LINK

“On a partial least squares regression model for asymmetric data with a chemical application in mining” LINK

“Optimizing genetic algorithmpartial least squares model of soluble solids content in Fukumoto navel orange based on visiblenearinfrared transmittance spectroscopy using discrete wavelet transform” LINK

“Correlation between the composition of green Arabica coffee beans and the sensory quality of coffee brews.” LINK

“Monitoring model for predicting maize grain moisture at the filling stage using NIRS and a small sample size” LINK

“Argan oil authentication using visible/near infrared spectroscopy combined to chemometrics tools” LINK

Near Infrared

“Quality evaluation of grapes for mechanical harvest using vis NIR spectroscopy” LINK

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

Is the gravimetric water content true? NIR spectroscopy gives an answer for polymers and composites – LINK

“Tissue Monitoring with Novel Broadband Light Emitting Diode-Based Near-Infrared Spectroscopy Device” LINK

“Effectiveness of 6-Ischemic Cuff Near Infrared Spectroscopy Mitochondrial Capactity Test” LINK

“Combining Visible− Near-Infrared and Pedotransfer Functions for Parameterization of Tile Drain Flow Simulations” LINK

“Rapid Determination of Chlorogenic Acid, Luteoloside and 3, 5-O-dicaffeoylquinic Acid in Chrysanthemum Using Near-Infrared Spectroscopy” LINK

“Nondestructive Determination and Visualization of Quality Attributes in Fresh and Dry Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging” LINK

“Monitoring quality and safety assessment of summer squashes along the food supply chain using near infrared sensors” vegetable LINK


“Quantitation of trace amorphous solifenacin succinate in pharmaceutical formulations by transmission Raman spectroscopy.” LINK


“Estimation of paddy rice leaf area index using machine learning methods based on hyperspectral data from multi-year experiments.” LINK


New post: New approach for fibre-based imaging spectrometer | imaging spectroscopy LINK

New product: PocketHawk compact 330–1050 nm spectrometer | UVVIS NIR spectroscopy LINK

New product: NIR MEMS spectrometer | MEMS NIR LINK

Process Control

“Improved solubility of asymmetric tetraethynylporphyrin derivatives for solution-processed organic solar cells” LINK




Understanding near infrared spectroscopy and its application to skeletal muscle research – new review article in LINK


New product: Hitachi High-Tech Analytical Science launches new Vulcan+ LIBS range | LIBS LINK

“Winter and summer annual biotypes of camelina have different morphology and seed characteristics” LINK

Spectroscopy and Chemometrics News Weekly #18, 2019

Spectroscopy and Chemometrics News Weekly 17, 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 17, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 17, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità LINK

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

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


“Comparison and rapid prediction of lignocellulose and organic elements of a wide variety of rice straw based on near infrared spectroscopy” LINK

“Rapid Determination of Green Tea Origins by Near-Infrared Spectroscopy and Multi-Wavelength Statistical Discriminant Analysis” LINK

“Automated Chinese medicinal plants classification based on machine learning using leaf morpho-colorimetry, fractal dimension and visible/near infrared spectroscopy” LINK

“Monitoring model for predicting maize moisture content at the grain-filling stage using near-infrared spectroscopy and a small sample size” LINK

“Near-infrared-based models for lignin syringyl/guaiacyl ratio of Eucalyptus benthamii and E. pellita using a streamlined thioacidolysis procedure as the reference method” LINK

“Arthroscopic Near-Infrared Spectroscopic Prediction of Human Meniscus Properties” LINK

“变量优选补正算法的鲜枣可溶性固形物检测模型传递方法研究” 变量优选补正算法的鲜枣可溶性固形物检测模型传递方法研究 Model Transfer Method of Fresh Jujube Soluble Solids Detection Using Variables Optimization and Correction Algorithms LINK

New software article published in | No excuse for not using realistic noise when evaluating proposed algorithms anymore! chemometrics machinelearning statistics LINK

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

Near Infrared

“Abundance and composition of kaolinite on Mars: Information from NIR spectra of rocks from acid-alteration environments, Riotinto, SE Spain” LINK

“Distinct Difference in Sensitivity of NIR vs. IR Bands of Melamine to Inter-Molecular Interactions with Impact on Analytical Spectroscopy Explained by Anharmonic Quantum Mechanical Study” LINK

” Association Between Near Infrared Spectroskopy (NIRS) and Normobaric and Hyperbaric Oxygen Treatment in Acute Carbon Monoxide Poisoning” LINK

“Sensors, Vol. 19, Pages 2076: Towards Integrated Mid-Infrared Gas Sensors” LINK

“Detection of Acrylamide in Food Using Near Infrared Spectroscopy” LINK

“Determination of natural rubber and resin content of guayule fresh biomass by near infrared spectroscopy” LINK

“Automated Preprocessing of Near Infrared Spectroscopic Data” LINK

“Evaluation of a low-cost portable near-infrared spectrophotometer for in situ cocaine profiling.” LINK

“Application of a Fourier transformnear infrared reflectance spectroscopy method for the rapid proximate analysis of the greenshell mussel (Perna canaliculus) and king (Chinook) salmon (Oncorhynchus tshawytscha)” LINK

” Assessment of the chemical change in heat treated pine wood by near infrared spectroscopy” LINK

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

” Plastic Solid Waste identification system based on Near Infrared Spectroscopy in combination with support vector machine” LINK

“Development and application of Fourier transform infrared spectroscopy for detection of milk adulteration in practice” FTIR LINK

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

“Determination of cellulose, hemicellulose and lignin content using near-infrared spectroscopy in flax fiber” LINK


“Raman spectroscopic discrimination of normal and cancerous lung tissues.” LINK

Spectral Imaging

“A new low-cost portable multispectral optical device for precise plant status assessment” LINK

“Evaluation of Fire Severity Indices Based on Pre- and Post-Fire Multispectral Imagery Sensed from UAV” Remote Sensing LINK


“On site monitoring of Grana Padano cheese production using portable spectrometers” LINK


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

“A Cost Effective and Field Deployable System for Soil Macronutrient Analysis Based on Near-Infrared Reflectance Spectroscopy” LINK

Food & Feed

“Freshness Evaluation in Chub Mackerel (Scomber japonicus) Using Near-Infrared Spectroscopy Determination of the Cadaverine Content.” Fish Fisheries FoodSafety FoodProtection LINK


“An update on contribution of hot-melt extrusion technology to novel drug delivery in the 21st century: part I” LINK


” Evaluación de dos atributos de calidad críticos en la producción de formas farmacéuticas sólidas utilizando la espectroscopia de infrarrojo cercano” LINK

Spectroscopy and Chemometrics News Weekly #11, 2019

This week’s NIR news Weekly is sponsored by YourCompanyNameHere – BestNIRinstruments. Check out their product page … link

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

Spectroscopy and Chemometrics News Weekly 10, 2019 | NIRS NIR Spectroscopy Chemometrics analysis Spectral Spectrometer Spectrometric Analytical Sensors LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 10, 2019 | NIRS NIR Spektroskopie Chemometrie Proben Analyse Spektrometer Spektral Sensor Nahinfrarot Analysengeräte Analysentechnik Analysemethode Analyzer Nahinfrarotspektroskopie LINK

Spettroscopia e Chemiometria Weekly News 10, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Sensore Attrezzatura analitica LINK


” First-Principles and Empirical Approaches to Predicting In Vitro Dissolution for Pharmaceutical Formulation and Process Development and for Product Release Testing” LINK

“Near-Infrared Spectroscopy Analytical Model Using Ensemble Partial Least Squares Regression” LINK

Near Infrared

“Consumer perception of d’Anjou pear classified by dry matter at harvest using near-infrared spectroscopy” LINK

“Small interferometer with wide wavelength coverage” NIREOS LINK

“Application of NIRS to the Direct Measurement of Carbonization in Torrefied Wheat Straw Chars” LINK

“New Near-Infrared Imaging and Spectroscopy of NGC 2071-IR [GA]” 400 Parsec away 😉 LINK

“Medicine Discrimination of NIRS Based on Regularized Collaborative Representation Classification with Gabor Optimizer” LINK


“Real-Time Release Testing of Herbal Extract Powder by Near-Infrared Spectroscopy considering the Uncertainty around Specification Limits” LINK

” On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development” LINK

“Ex Vivo Assessment of Various Histological Differentiation in Human Carotid Plaque with Near-infrared Spectroscopy Using Multiple Wavelengths.” LINK

“Application of near-infrared spectroscopy for screening the potato flour content in Chinese steamed bread” LINK

“Understanding the role of water in the aggregation of poly(N,N-dimethylaminoethyl methacrylate) in aqueous solution using temperature-dependent near-infrared spectroscopy.” LINK

“Ranking the solubility of ammonia in ionic liquids using near infrared spectroscopy and multivariate curve resolution” LINK

“Breakthrough Potential in Near-Infrared Spectroscopy: Spectra Simulation. A Review of Recent Developments.” LINK

“Screening of maize haploid kernels based on near infrared spectroscopy quantitative analysis” LINK

“An optimized non-invasive glucose sensing based on scattering and absorption separating using near-infrared spectroscopy” LINK


“Improving InSitu Estimation of Soil Profile Properties Using a Multi-Sensor Probe.” LINK

Process Control



“Laboratory Visible and Near-Infrared Spectroscopy with Genetic Algorithm-Based Partial Least Squares Regression for Assessing the Soil Phosphorus Content of Upland and Lowland Rice Fields in Madagascar” RemoteSensing LINK

“Water molecular structure underpins extreme desiccation tolerance of the resurrection plant Haberlea rhodopensis.” LINK

“The Relation between Soil Water Repellency and Water Content can be Predicted by Vis-NIR Spectroscopy” LINK


“Development of a Low-Cost Multi-Waveband LED Illumination Imaging Technique for Rapid Evaluation of Fresh Meat Quality” LINK

“Distinguishing between bread wheat and spelt grains using molecular markers and spectroscopy.” LINK


“FT-IR Spectroscopy Applied for Identification of a Mineral Drug Substance in Drug Products: Application to Bentonite” LINK


“On feasibility of near-infrared spectroscopy for noninvasive blood glucose measurements” LINK

Spectroscopy and Chemometrics News Weekly #7, 2019

Automatic Development of NIR-Spectroscopic Chemometric Models as a Service LINK

Develop near infrared spectroscopy applications & freeing up hours of analysts time QAQC QualityManager QualityAssurance LINK

Optimized NIR-Spectroscopy Accuracy Increases Your Profit manufacturing QA QC Food Feed Lab PetCare vitamins LINK

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

Spectroscopy and Chemometrics News Weekly 6, 2019 | NIRS NIR Spectroscopy Chemometrics analysis Spectral Spectrometer Spectrometric Analytical Sensors LINK

This week’s NIR news Weekly is sponsored by YourCompanyNameHere – BestNIRinstruments. Check out their product page … link



“Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series” LINK

“Prediction of Dissolution Profiles from Process Parameters, Formulation and Spectroscopic Measurements.” LINK

“Near-infrared spectroscopy coupled with chemometrics tools: a rapid and non-destructive alternative on soil evaluation” LINK

“Near infrared hyperspectral imaging for the prediction of gaseous and particulate matter emissions from pine wood pellets” LINK

“Development of a general calibration model and long-term performance evaluation of lowcost sensors for air pollutant gas monitoring” LINK

“Volatiles Profiling, Allelopathic Activity, and Antioxidant Potentiality of Xanthium Strumarium Leaves Essential Oil from Egypt: Evidence from Chemometrics Analysis” LINK

Near Infrared

“Application of NIR spectroscopy and image analysis for the characterisation of grated Parmigiano-Reggiano cheese” LINK

“A method for differentiating between exogenous and naturally embedded ash in bio-based feedstock by combining ED-XRF and NIR spectroscopy” LINK

“Use of Visible-Near-Infrared (Vis-NIR) Spectroscopy to Detect Aflatoxin B1 on Peanut Kernels.” LINK

Planning your trip to the 19th International NIR conference also plan to attend pre-conf workshops. Imaging (2 days), R for NIR (2 days), Aquaphotomics (1 day), Sampling (1 day) and PAT (1 day). Limited spots. Register ASAP. LINK

“Comparing vis-NIRS, LIBS, and Combined vis-NIRS-LIBS for Intact Soil Core Soil Carbon Measurement” LINK

“Propiolic Acid in Solid Nitrogen: NIR- and UV-Induced CisTrans Isomerization and Matrix-Site Dependent TransCis Tunneling.” LINK

“Chemical composition of melamine-urea-formaldehyde (MUF) resins assessed by near-infrared (NIR) spectroscopy” LINK


“Detection of malaria in insectary-reared Anopheles gambiae using near-infrared spectroscopy” LINK

“Recognition of wood surface defects with near infrared spectroscopy and machine vision” LINK

“Wearable-band Type Visible-Near Infrared Optical Biosensor for Non-invasive Blood Glucose Monitoring” LINK

“Near-infrared spectroscopy reveals neural perception of vocal emotions in human neonates.” LINK

“Characterization of green, roasted beans, and ground coffee using near infrared spectroscopy: A comparison of two devices” LINK

“Near infrared spectroscopic analysis of total alkaloids as nicotine, total nitrogen and total ash in Cuban cigar tobacco” LINK


“Portable NIR Spectrometer for Prediction of Palm Oil Acidity.” LINK

Process Control

“Manufacturing fit-for-purpose paper packaging containers with controlled biodegradation rate by optimizing addition of natural fillers” LINK


“Quantitatively estimating main soil water-soluble salt ions content based on Visible-near infrared wavelength selected using GC, SR and VIP.” LINK


“Effect of Cereal Grain Source and Cereal Silage Source on Nutrient Utilization and Performance of Finishing Beef” LINK

Food & Feed

“Measurements of lycopene contents in fruit: A review of recent developments in conventional and novel techniques” LINK


“Freshness Evaluation of Three Kinds of Meats Based on the Electronic Nose” Sensors LINK

New post: Smallest optical frequency comb to-date | frequencycomb spectroscopy LINK

Professional Development of NIR‑Spectroscopic Chemometric Calibration Models as a Service

From your NIR + Lab data, we develop optimal NIR-Calibrations for you.
  • For any NIR spectrometer.
  • You don’t need a Chemometric or Math software!
It’s Your Data and Your Calibration.
  • You can anonymize your NIR + Lab data before sending.
  • We delete your NIR + Lab data after processing.
  • Only you get download access to your Calibrations.
Download the Calibrations.
  • You can see the Calibrations performance statistics.
  • You can try the Calibrations before you buy.
  • Fix cost per Calibration development and use. Paid on download.
Use the free NIR-Predictor Software tooling to
  • Check which of your NIR Spectral Data Formats is supported.
  • Combine your NIR + Lab data and create your Calibration Request.
  • Use your Calibrations to create Analysis Reports from new NIR data of measured samples.

For all NIR Spectrometers.

Use our included free NIR-Predictor software to create results!
Now new with native File Format support of mobile NIR instruments!

With the NIR-Predictor software,
you can use your NIRS calibration files locally and offline.

That means you can predict as much NIR data as you want,
at full speed without waiting at no extra cost
(it’s NOT a cloud prediction where you pay per result).

The NIR-Predictor shows which samples should be sent to the laboratory for reference analysis in order to complete the data for the next calibration.
This minimizes the laboratory effort and further costs. This is based on the fact that sample spectra that are foreign to the calibration are marked as outliers in the prediction report generated by the NIR-Predictor. This way, these samples can be analyzed in the laboratory and used to enhance the NIR + Lab data.

You don’t need a Chemometric Software.

NIR Calibration Service explained

See detailed Price List

Start Calibrate


It Enables





Our Knowhow

Why you can Trust us

  • Try before you buy with : free NIR-Predictor software included
  • Off-line predictions with NIR-Predictor, your data will not go into the cloud.
  • Data Privacy :
    General Data Protection Regulation (GDPR)
    Datenschutz-Grundverordnung (DSGVO)
  • We delete your data after processing : Terms of Service
  • Optionally data can be anonymized : Anonymizer Software
  • Swiss Quality Service and Software made in Switzerland
What our service provides is also known as:
  • NIR chemometric analytical method development
  • NIR chemometric analysis method development
  • NIR Spectrometric analytical method development
  • NIR Spectroscopic analytical method development
  • NIR spectrometry analytical method development
  • NIR spectrometry analysis method development
  • NIR Spectroscopic Analysis Methods Development
  • NIR spectral analysis methods development
  • NIR Spectrometry Analysis Methods Development
  • NIR Spectroscopy Analysis Methods Creation
  • Development of chemometric analysis methods in the NIR range
  • Development of chemometric analysis methods in the NIRS range
  • NIR Spectrometric analytical method development
  • NIR Spectrometric Analysis Method Development
  • NIRS Spectroscopic Analysis Method Development
  • NIR Development of spectroscopic analysis methods
  • Development of analytical methods of NIR spectrometry
  • NIR spectrometry analysis method development

Spectroscopy and Chemometrics News Weekly #4, 2019

“Digitalization meets NIR Spectroscopy Prediction Modelling” NIRS PredictiveAnalytics GDPR DSGVO LINK

How to Develop Near-Infrared Spectroscopy Calibrations in the 21st Century? | near-infra-red LINK

Improve Accuracy of fast Nondestructive NIR-Analysis with Optimal Calibration | Feed ag Lab NIRS pauto QAQC LINK

Spectroscopy and Chemometrics News Weekly 3, 2019 | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Spectrometric Analytical Sensors LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 3, 2019 | NIRS NIR Spektroskopie Chemometrie Proben Analyse Spektrometer Spektral Sensor Nahinfrarot Analysengeräte Analysentechnik Analysemethode Analyzer Nahinfrarotspektroskopie LINK

Spettroscopia e Chemiometria Weekly News 3, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Sensore Attrezzatura analitica LINK

Use Calibration Model for your customized NIRS Applications. Start Optimizing | quantitative Analytical NIR Spectroscopy QAQC quality LINK

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


“Partial Least Squares (PLS) Integrated Fourier Transform Infrared (FTIR) Approach for Prediction of Moisture in Transformer Oil and Lubricating Oil” LINK

“Metabolic Profiling of Nine Mentha Species and Prediction of Their Antioxidant Properties Using Chemometrics” LINK

“A Vis-NIR Spectral Library to Predict Clay in Australian Cotton Growing WSoil” LINK

“Tracing Geographical Origins of Teas Based on FT-NIR Spectroscopy: Introduction of Model Updating and Imbalanced Data Handling Approaches” LINK

“Simultaneous Recognition of Species, Quality Grades, and Multivariate Calibration of Antioxidant Activities for 12 Famous Green Teas Using Mid-and Near-Infrared Spectroscopy Coupled with Chemometrics” LINK

“How qualitative spectral information can improve soil profile classification?” LINK

New JSI Paper: Application of hyperspectral imaging and chemometrics for classifying plastics with brominated flame retardants. wasterecycling, plasticsrecycling, NIR hyperspectral imaging, polymer, flameretardants, hierarchicalclassification LINK

How MachineLearning Works [INFOGRAPHICS] by | Read more here: | ML DL DeepLearning DataMining Cloud AI ArtificialIntelligence Algorithms MachineIntelligence RT Cc: LINK

“Nocturnal Hypoglycemic Alarm Based on Near-Infrared Spectroscopy: In Vivo Studies with a Rat Animal Model” LINK

“Generalized two-dimensional correlation NIR spectroscopy analysis of the structures on n-propanol and n-butanol” LINK

“Simultaneous Determination of Several Fiber Contents in Blended Fabrics by Near-Infrared Spectroscopy and Multivariate Calibration” LINK

“Classification of Frozen Corn Seeds Using Hyperspectral VIS/NIR Reflectence Imaging.” LINK

“Discrimination of Chinese Liquors Based on Electronic Nose and Fuzzy Discriminant Principal Component Analysis” Foods LINK

“Ripeness Prediction of Postharvest Kiwifruit Using a MOS E-Nose Combined with Chemometrics” Sensors LINK

Near Infrared

“The application of FTNIRS for the detection of bruises and the prediction of rot susceptibility of Hass avocado fruit” LINK

“Non-destructive determination of vitamin C and lycopene contents of intact cv. Newton tomatoes using NIR spectroscopy” LINK

DLP technology enables high-power industrial and 3D printing systems using near-infrared wavelengths. LINK

“Exploring brain functions in autism spectrum disorder: A systematic review on functional near-infrared spectroscopy (fNIRS) studies.” LINK

Mikroplastik in Böden schnell und genau nachweisen: Mit NIR-Sprektroskopie. Was das ist und wie das geht? Steht im PaperdesMonats Umwelt => LINK


“Near infrared spectroscopy in the supply chain monitoring of Annurca apple” LINK

“Effects of mechanical stretching, desorption and isotope exchange on deuterated eucalypt wood studied by near infrared spectroscopy” LINK

“In-line monitoring of Ibuprofen during and after tablet compression using near-infrared spectroscopy.” LINK

“Breakthrough potential in near-infrared spectroscopy: spectra simulation. A review of recent developments” LINK

“Application of visible-near infrared spectroscopy to evaluate the quality of button mushrooms” LINK

“Application of infrared spectroscopy as Process Analytics Technology (PAT) approach in biodiesel production process utilizing Multivariate Curve Resolution Alternative Least Square (MCR-ALS)” LINK


“Applications of Raman spectroscopic techniques for quality and safety evaluation of milk: A review of recent developments.” LINK


“Contactless In Situ Electrical Characterization Method of Printed Electronic Devices with Terahertz Spectroscopy” Sensors LINK


Defects in photovoltaic solar cells reduce their efficiency. NIR hyperspectral imaging reveals information on crystal imperfections in a recent paper in JSI-Journal of Spectral Imaging | hyperspectral imaging photovoltaic solarenergy LINK


How AI Will Define New Industries: by DataScience MachineLearning BigData Automation FutureOfWork DigitalTransformation “Accelerating the pace of scientific discovery may be the most important societal use of AI” LINK

13 Common Mistakes Amateur Data Scientists Make and How to Avoid Them [Infographic] | v/ DataScience AI MachineLearning BigData Analytics LINK

“Could the reliability of classical descriptors of fruit quality be influenced by irrigation and cold storage? The case of mango, a climacteric fruit” LINK


“Characterization of a Robust 3D- and Inkjet-Printed Capacitive Position Sensor for a Spectrometer Application” Sensors LINK

“In vivo and in vitro application of near-infrared fiber optic probe for Ehrlich carcinoma distinction: Towards the development of real-time tumor margins assessment tool” LINK


“Composition of Plastic Fractions in Waste Streams: Toward More Efficient Recycling and Utilization” Polymers LINK


“Rapid Measurement of Soybean Seed Viability Using Kernel-Based Multispectral Image Analysis” Sensors LINK

“Rapid evaluation of soil fertility in tea plantation based on near-infrared spectroscopy” LINK


“NearInfrared Spectroscopy in Laboratory and Process Analysis” LINK

What users of NIR Analyzers and NIR Analysis must know. howto automate KnowledgeWork DigitalTransformation NIRS Spectroscopy Lab LabManagement QAQC laboratory LabTesting LabEfficiency LabResults LaboratorySoftware LINK


“近红外光谱技术快速测定三七水分和醇溶性浸出物” LINK

“We analyzed 16,625 papers to figure out where AI is headed next” LINK

“The Hemodynamic changes during cupping therapy monitored by using an optical sensor embedded cup” LINK

“无创血红蛋白监测在急诊患者中的应用研究” LINK