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

Spectroscopy and Chemometrics News Weekly #50, 2019

Total cost of ownership (TCO) of NIR-Spectroscopy Systems in the Age of Digitalization – Compare Operating Costs of NIRS LINK

Spectroscopy and Chemometrics News Weekly 49, 2019 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 49, 2019 | NIRS NIR Spektroskopie MachineLearning Spektrometer Sensor Nahinfrarot LaborAnalytik Analysengeräte Analysentechnik Analysemethode Labor Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 49, 2019 | NIRS NIR Spettroscopia MachineLearning 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 – NIR-spectrometers. Check out their product page … link

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

Near Infrared

” Raman Spectroscopy and NIR Spectroscopy as Possible AID in Localisation of Solitary Pulmonary Nodules” LINK

NIR spectroscopy has potential for rapid on farm analysis of slurry nutrient content. Wouter Saeys, IFSConf LINK

“Modeling for SSC and Firmness Detection of Persimmon Based on NIR Hyperspectral Imaging by Sample Partitioning and Variables Selection” LINK

” Application of the NIR Spectroscopy in the Researches of Orthopedics Diseases” LINK

“FT-NIR による油脂の迅速な品質管理” LINK

“Accuracy improvement of quantitative analysis in VIS-NIR spectroscopy using the GKF-WTEF algorithm.” LINK

“Rapid determination of the content of digestible energy and metabolizable energy in sorghum fed to growing pigs by near-infrared reflectance spectroscopy.” LINK

“Characterization of the Processing Conditions upon Textural Profile Analysis (TPA) Parameters of Processed Cheese Using Near-Infrared Hyperspectral Imaging” LINK

“Total aromatics of diesel fuels analysis by deep learning and near-infrared spectroscopy” LINK

“Rapid Assessment of Soil Quality Indices Using Infrared Reflectance Spectroscopy” LINK

“Quantitative Determination of the Fiber Components in Textiles by Near-Infrared Spectroscopy and Extreme Learning Machine” LINK

“Non-Destructive Method for Predicting Sapodilla Fruit Quality Using Near Infrared Spectroscopy” LINK

“Qualitative analysis for sweetness classification of longan by near infrared hyperspectral imaging” LINK


“Hyperspectral Characteristics of Coastal Saline Soil with Visible/near Infrared Spectroscopy” LINK

“Monitoring Soil Surface Mineralogy at Different Moisture Conditions Using Visible Near-Infrared Spectroscopy Data” LINK

“Near infrared spectroscopy for assessing mechanical properties of Castanea sativa wood samples” Modulus of elasticity LINK

” Development of near-infrared spectroscopic sensing system for online real-time monitoring of milk quality during milking” LINK

” Advances in Near-Infrared Spectroscopy and Related Computational Methods” LINK

“Morphological, Physicochemical and FTIR Spectroscopic Properties of Bee Pollen Loads from Different Botanical Origin” LINK

“Fourier transform infrared imaging and quantitative analysis of pre-treated wood fibers: A comparison between partial least squares and multivariate curve resolution with alternating least squares methods in a case study” LINK

“Antioxidant Activity of Blueberry (Vaccinium spp.) Cultivar Leaves: Differences Across the Vegetative Stage and the Application of Near Infrared Spectroscopy.” LINK


“Development of Simplified Models for Nondestructive Testing of Rice with Husk Starch Content Using Hyperspectral Imaging Technology” LINK

Spectral Imaging

“Model for estimation of total nitrogen content in sandalwood leaves based on nonlinear mixed effects and dummy variables using multispectral images” LINK

“Sources of Variation in Assessing Canopy Reflectance of Processing Tomato by Means of Multispectral Radiometry” LINK


“Sampling for spectroscopic analysis: consequences for multivariate calibration” LINK

“Combination of hyperspectral sensing images and chemometrics for measuring tensile strength indices of organic plastic sheeting in the field” LINK

” Comparison of prediction power of three multivariate calibrations for estimation of leaf anthocyanin content with visible spectroscopy in Prunus cerasifera” LINK

” Prediction of quality parameters of food residues using NIR spectroscopy and PLS models based on proximate analysis” LINK

“Pre-processing spectroscopic data: for good or ill?” LINK

Process Control

“Optimization of pickled herring production-Approaches for process and quality control-DTU Orbit (26/09/2019)” LINK


“Response surface methodology for optimizing LIBS testing parameters: A case to conduct the elemental contents analysis in soil” LINK


“Rapid detection of cAMP content in red jujube using near-infrared spectroscopy” LINK

“Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning.” LINK


“Determination of Carvacrol Content in Alaska Yellow Cedar (Callitropsis nootkatensis) Extractives” LINK

Spectroscopy and Chemometrics News Weekly #43, 2019

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 42, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Labor LINK

Spectroscopy and Chemometrics News Weekly 42, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spettroscopia e Chemiometria Weekly News 42, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem nearinfrared facility LINK

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

Holen Sie sich die Chemometrie und Spektroskopie Nachrichten in Echtzeit auf Twitter @ CalibModel


“Chocolate Quality Assessment Based on Chemical Fingerprinting Using Near Infra-red and Machine Learning Modeling.” LINK

“Measurement of quality parameters of sugar beet juices using near-infrared spectroscopy and chemometrics” LINK

“Discriminating geographic origin of sesame oils and determining lignans by near-infrared spectroscopy combined with chemometric methods” LINK

“A new calibration model transferring strategy maintaining the predictive abilities of NIR multivariate calibration model applied in different batches process of extraction” LINK

“Rapid determination of moisture content in compound fertilizer using visible and near infrared spectroscopy combined with chemometrics” LINK

“Near-infrared spectroscopic identification and quantification of active pharmaceutical ingredients in closed capsules: a feasibility study for pediatric doses” LINK

“Classification of amino resins and formaldehyde near infrared spectra using K-nearest neighbors” LINK

“Rapid Identification and Quality Evaluation of Medicinal Centipedes in China Using Near-Infrared Spectroscopy Integrated with Support Vector Machine Algorithm” LINK

“化学计量学方法应用于近红外光谱法测定混合炸药中 TNT 含量” “Application of Chemometrics to NIRS Determination of TNT in Composite Explosive ” LINK

“Klasifikasi Jenis Tepung Berdasarkan Kandungan Protein Menggunakan Near Infrared Spectroscopy (NIR) dan Principal Component Analysis (PCA)” LINK

“Changes in methylxanthines and flavanols during cocoa powder processing and their quantification by near-infrared spectroscopy” LINK

Near Infrared

“Control and Monitoring of Milk Renneting Using FT-NIR Spectroscopy as a Process Analytical Technology Tool.” LINK

“In vivo photoprotection mechanisms observed from leaf spectral absorbance changes showing VIS-NIR slow-induced conformational pigment bed changes” LINK

“Rapid and nondestructive fraud detection of palm oil adulteration with Sudan dyes using portable NIR spectroscopic techniques” LINK

“Ferramentas de análise multivariada associadas as espectroscopias NIR e 1H-NMR na avaliação de cafés comerciais” LINK

New Sampling Column: Application of Theory of Sampling principles for real-time monitoring of pharmaceutical powder blends by near infrared spectroscopy | NIR spectroscopy pharamaceutical powder LINK

“Near Infrared Spectroscopy technology for prediction of chemical composition of natural fresh pastures” NIR NIRS LINK


“Near-infrared fieldoscopy of water” LINK

“Comparative study and optimization of near-infrared diffuse transmission of rice amylose” LINK

“Application of Theory of Sampling principles for real-time monitoring of pharmaceutical powder blends by near infrared spectroscopy” LINK

“Evaluation of the Molecular State of Piperine in Cyclodextrin Complexes by Near-Infrared Spectroscopy and Solid-State Fluorescence Measurements” LINK


“Liquid crystal fourier transform imaging spectrometer” handheld imaging device medical diagnostic system LINK


” Prediction of soil available water-holding capacity from visible near-infrared reflectance spectra” LINK

“Measurement of the Water Content in Semi-solid Formulations Used to Treat Pressure Ulcers and Evaluation of Their Water Absorption Characteristics” LINK


” Using FT-NIR Calibration to Determine Soybean Meal Amount in Concentrated Feed Ration Mixtures for Laying Hens” LINK

Food & Feed

“Recent advances in micro-level experimental investigation in food drying technology” LINK

“Advances in Noninvasive Food Analysis” LINK


“Respuesta al riego y abonado nitrogenado del cultivo de la patata (Solanum tuberosum L.) variedad Spunta” LINK


What type of NIR-Spectrometer would you buy? NIRS Spectroscopy Instrument Sensor SmartSensor NirDevice LabEquipment NewLaboratory LabPlanning laboratoryequipment labware LabTools ⚗️ LINK

What is more frequently used in your NIR-Spectroscopy work? NIRS Lab facility QC QA food feed LINK


“Opto-structural and surface properties of silkworm-like nickel oxide thin films” LINK

“药物制剂和原料药近红外光谱分析方法的研究” LINK


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