Digitization in the field of NIR spectroscopy (smart sensors)

Digitalization is advancing, also in NIR spectroscopy, which enables trainable miniature smart sensors e.g. for analyses in the food&feed, chemical and pharmaceutical sectors.

The calibration is the core of a NIR spectroscopy sensor, it enables the numerous applications and should therefore not be the weakest link in the measurement chain.

The development of calibrations that turn NIR spectrometers into smart sensors is done manually by experts (NIR specialist, chemometrician, data scientist) with so-called chemometrics software.

This is very time-consuming (time to market) and the result is person-dependent and thus suboptimal, because each expert has his own preferred way of proceeding. In addition, the calibrations have to be maintained, as new data has been collected in the meantime, which can be used to extend and improve the calibrations.

This is where our automated service comes in, combining the knowledge and good practices of NIR spectroscopy and chemometrics collected in one software and using machine learning to generate optimal calibrations.

Based on this, we have developed a complete technology platform (Time to Market) that covers the entire process from sending NIR + Lab data, to NIR Calibration as a Service, from online purchase of calibrations, to NIR Predictor software that directly evaluates newly measured NIR data locally and generates result reports.

Besides the free desktop version with user interface, the NIR Predictor can also be integrated (OEM). This can be integrated in parallel as a complement to your current Predictor, allowing the user to choose how they want to calibrate. And give them the advantage in NIR feasibility studies and NIR spectrometer evaluations to quickly provide the customer with a solid and accurate calibration that will make their NIR system deliver better results.

Advantages for your NIR users (internal or external)
  • no initial costs (no chemometrics software license required),
  • calculable operating costs (fixed amount instead of time and hourly rate) (calibration development, calibration maintenance)
  • easy to use (no chemometrics and software training),
  • quicker to use (no calibration development work) and
  • better calibrations (precision, accuracy, robustness, …)


Our chargeable service is based on the calibration development and the annual calibration use. Calibration development and calibration use can also be carried out separately (manufacturer / user).

For you as a spectrometer manufacturer, this means that you can deliver your system pre-calibrated for certain applications without incurring software license costs. And without your application specialists having to provide additional calibration services.

The unique advantages of our calibration service together with the free NIR Predictor are:
  • no software license costs (chemometrics software, predictor software, OEM integration)
  • no chemometrics know-how necessary
  • no time needed to develop optimal NIR calibrations.


If interested in using/evaluating the service :

About CalibrationModel.com : Time and knowledge intensive creation and optimization of chemometric evaluation methods for spectrometers as a service to enable more accurate analysis and measurement results.



see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR – Total cost of ownership (TCO)

OEM / White Label Software

White Paper



NIR Analysis in Laboratory and Laboratories – aka NIR Labs and NIR testing


Do you have a NIR spectrometer in your Lab?

How many other analytics you do in the Lab could be done faster and cheaper with NIR?

Is this possible and precise enough?

Try, we have the solution for you!
You have the NIR, scan the samples, you have the lab values and the spectra, we calibrate for you!

To see if the application is possible and how precise it can be due to knowledge based intensive model optimizations.

We do the NIR feasibility study with data for you. Fixed prices

NIR has huge application potentials and it’s a Green analytical method, that’s fast and easy to use. And has today the possibility to scale out with inexpensive mobile NIR spectrometers.

Bring the Lab to the sample. To avoid sample transport and get immediate results for decision at the place or in the process.

Just try the NIR application, use the NIR daily, collect data in parallel, we develop, optimize and maintain the calibration models for you.

How do you think?

Start Calibrate


What is possible today with NIR?
The number of different Applications exploded in the last 2-3 years!
See NIR research papers news daily on @CalibModel or the 7-day summariesNIR News Weekly” here.

Spectroscopy and Chemometrics News Weekly #34, 2020

NIR Calibration-Model Services

Got a NIRspectrometer and need help for application development? chemometrics multivariate prediction NIRS LINK

Spectroscopy and Chemometrics News Weekly 33, 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 33, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 33, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl 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 Spectroscopy (NIRS)

“Using visible near-infrared reflectance spectroscopy (VNIRS) of lake sediments to estimate historical changes in cyanobacterial production: potential and challenges” LINK

“Inversion of soil heavy metals in Guanzhong area of Shaanxi based on VIS-NIR spectroscopy” LINK




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

“In-field measurement of starch content of cassava tubers using handheld vis-near infrared spectroscopy implemented for breeding programmes” LINK

“Near-infrared reflectance spectroscopy-based fast versicolorin A detection in maize for early aflatoxin warning and safety sorting.” LINK

“Egg freshness prediction using a comprehensive analysis based on visible near infrared spectroscopy” LINK

“Infrared spectroscopy approaches support soil organic carbon estimations to evaluate land degradation” LINK

“Signal-to-Noise Ratio Contributors and Effects in Proximal Near-Infrared Spectral Reflectance Measurement on Plant Leaves” LINK

“Non-destructive analysis of Japanese table grape qualities using near-infrared spectroscopy” LINK

“Classifying Cannabis Sativa Flowers, Stems and Leaves using Statistical Machine Learning with Near-Infrared Hyperspectral Reflectance Imaging” LINK

“Near infrared spectroscopy to evaluate change in color and chemical composition in heat-treated bamboo” LINK

“Mid-Infrared Reflectance Spectroscopy of Oil Sands Minerals Based on Tunable Quantum Cascade Lasers” LINK

“Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network.” LINK

“Near-Infrared Reflectance Spectroscopy-based Fast Versicolorin A Detection in Maize for Early Aflatoxin Warning and Safety Sorting” LINK

“Near-Infrared Spectroscopy in Bio-Applications” LINK




Raman Spectroscopy

“Sensors, Vol. 20, Pages 3723: High-Throughput Phenotyping Approach for Screening Major Carotenoids of Tomato by Handheld Raman Spectroscopy Using Chemometric Methods” LINK

“Chemical Bleaching to Minimize Fluorescence Interference in Raman Spectroscopic Measurements for Sulfonated Polystyrene Solutions” LINK




Hyperspectral Imaging (HSI)

“Comparison between Hyperspectral Imaging and Chemical Analysis of Polyphenol Oxidase Activity on Fresh-Cut Apple Slices” LINK




Chemometrics and Machine Learning

“Food Quality Assessed by Chemometrics” LINK

“Foods, Vol. 9, Pages 880: HPLC-Based Chemometric Analysis for Coffee Adulteration” LINK

“Foods, Vol. 9, Pages 876: Non-Targeted Detection of Adulterants in Almond Powder Using Spectroscopic Techniques Combined with Chemometrics” LINK

“Model-Based Process Optimization for the Production of Macrolactin D by Paenibacillus polymyxa” LINK

“Rapid detection model of Bacillus subtilis in solid-state fermentation of rapeseed meal” LINK

“Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data.” LINK

“Comparison of Individual and Integrated Inline Raman, Near-Infrared, and Mid-Infrared Spectroscopic Models to Predict the Viscosity of Micellar Liquids” LINK

“Identification and Quantification of Adulterants in Coffee (Coffea arabica L.) Using FT-MIR Spectroscopy Coupled with Chemometrics” Foods LINK




Equipment for Spectroscopy

“Rapid and Robust OnScene Detection of Cocaine in Street Samples using a Handheld Near Infrared Spectrometer and Machine Learning Algorithms” LINK

“Micro-Electro-Mechanical System Fourier Transform Infrared (MEMS FT-IR) Spectrometer Under Modulated–Pulsed Light Source Excitation” LINK




Agriculture NIR-Spectroscopy Usage

“RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing” Agriculture LINK

“… Agriculture Technology and Farm Data: A Case Study on Swedish Grain Farmers and On-Combine Near-Infrared Spectroscopy for Quality Measurement” LINK




Chemical Industry NIR Usage

“Benzothiadiazole Bridged EDOT Based Donor-Acceptor Polymers With Tunable Optical, Electrochemical, Morphological and Electrochromic Performance: Effects of …” LINK




Pharma Industry NIR Usage

“Validation and comparison of different near-infrared quantitative methods to rapid determination of the total content of anthraquinones in Rhubarb based on accuracy …” LINK

“Feature Selection and Rapid Characterization of Bloodstains on Different Substrates” LINK




Other

“Application of Optical Technologies in the US Poultry Slaughter Facilities for the Detection of Poultry Carcass Condemnation.” LINK





Spectroscopy and Chemometrics News Weekly #33, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 32, 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 32, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 32, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl 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 Spectroscopy (NIRS)

“Integrated soluble solid and nitrate content assessment of spinach plants using portable NIRS sensors along the supply chain” LINK

“Evaluation of Near Infrared Spectroscopy (NIRS) and Remote Sensing (RS) for Estimating Pasture Quality in Mediterranean Montado Ecosystem” LINK

“Evaluation of Homogeneity in Drug Seizures Using Near-Infrared (NIR) Hyperspectral Imaging and Principal Component Analysis (PCA)”LINK

“FT-NIRS Coupled with PLS Regression as a Complement to HPLC Routine Analysis of Caffeine in Tea Samples” Foods LINK




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

“Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer” LINK

“EXPRESS: Monitoring Polyurethane Foaming Reactions Using Near-Infrared Hyperspectral Imaging” LINK

“Near-infrared spectroscopy for monitoring free jejunal flap.” LINK

“Real-Time and Online Inspection of Multiple Pork Quality Parameters Using Dual-Band Visible/N ear-Infrared Spectroscopy” LINK

“An approach to quantify natural durability of Eucalyptus bosistoana by near infrared spectroscopy for genetic selection” LINK

“Rapid detection of green pea adulteration in ground pistachio nuts using near and mid-infrared spectroscopy” LINK

“Non‐invasive quality analysis of thawed tuna using near infrared spectroscopy with baseline correction” LINK




Raman Spectroscopy

“Low-Content Quantitation in Entecavir Tablets Using 1064 nm Raman Spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Detecting defects on cheese using hyperspectral image analysisLINK

“Non-destructive discrimination of the variety of sweet maize seeds based on hyperspectral image coupled with wavelength selection algorithm” LINK

“Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water” Remote Sensing LINK

“Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning” LINK




Chemometrics and Machine Learning

“Maintaining the predictive abilities of near-infrared spectroscopy models for the determination of multi-parameters in White Paeony Root” LINK

“Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data” Sensors LINK

“Authentication of the Geographical Origin of “Vallerano” Chestnut by Near Infrared Spectroscopy Coupled with Chemometrics” LINK




Agriculture NIR-Spectroscopy Usage

“Relationship between chemical composition and standardized ileal digestible amino acid contents of corn grain in broiler chickens” LINK

“NIR spectroscopy and management of bioactive components, antioxidant activity, and macronutrients in fruits” LINK

“Determination of mechanical properties of whey protein films during accelerated aging: Application of FTIR profiles and chemometric tools” LINK

“A portable IoT NIR spectroscopic system to analyze the quality of dairy farm forage” LINK

“Exploring Relevant Wavelength Regions for Estimating Soil Total Carbon Contents of Rice Fields in Madagascar from Vis-NIR Spectra with Sequential Application of …” LINK

“Applied Sciences, Vol. 10, Pages 4345: Observation of Potential Contaminants in Processed Biomass Using Fourier Transform Infrared Spectroscopy” LINK

“Animals, Vol. 10, Pages 1095: Comparison of Fatty Acid Proportions Determined by Mid-Infrared Spectroscopy and Gas Chromatography in Bulk and Individual Milk Samples” LINK

“Manipulation of Fruit Dry Matter via Seasonal Pruning and Its Relationship to dAnjou Pear Yield and Fruit Quality” Agronomy LINK




Forestry and Wood Industry NIR Usage

“The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties” LINK




Food & Feed Industry NIR Usage

“Analysis of sorghum content in corn–sorghum flour bioethanol feedstock by near infrared spectroscopy” LINK

“Quantitative detection of fatty acid value during storage of wheat flour based on a portable near-infrared (NIR) spectroscopy system” LINK

“Integration of spectra and image features of Vis/NIR hyperspectral imaging for prediction of deoxynivalenol contamination in whole wheat flour” LINK

“Ongoing Research on Microgreens: Nutritional Properties, Shelf-Life, Sustainable Production, Innovative Growing and Processing Approaches” Foods LINK




Pharma Industry NIR Usage

“Direct Catalytic Fuel Cell Device Coupled to Chemometric Methods to Detect Organic Compounds of Pharmaceutical and Biomedical Interest” Sensors LINK




Laboratory and NIR-Spectroscopy

“Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips” LINK




Other

“Phenotypic plasticity and nonstructural carbohydrates in annual growth rings of the australian red cedar clones in contrasting enviroments” LINK





Spectroscopy and Chemometrics News Weekly #32, 2020

NIR Calibration-Model Services

Increase Your Profit with optimized NIR Accuracy Laboratory QC QA Food Feed Aquaculture petfood grain milk LINK

NIR User? Get better results faster … here is how | Food Science QC Lab Laboratory Manager chemist LabWork Chemie analytik LINK

Spectroscopy and Chemometrics News Weekly 31, 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 31, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 31, 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)

“A Performance Comparison of Low-Cost Near-Infrared (NIR) Spectrometers to a Conventional Laboratory Spectrometer for Rapid Biomass Compositional Analysis” LINK

“Lifting wavelet transform for Vis-NIR spectral data optimization to predict wood density.” LINK

New paper ‘Comparison of Raman and Near-Infrared Chemical Mapping for the Analysis of Pharmaceutical Tablets’ in from Hannah Carruthers () PhD work with Don Clark, Fiona Clarke LINK

“Peach variety detection using VIS-NIR spectroscopy and deep learning” LINK

“Rapid Screening of Phenolic Compounds from Wild Lycium ruthenicum Murr. Using Portable near-Infrared (NIR) Spectroscopy Coupled Multivariate Analysis” LINK




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

“Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network” Sensors LINK

“Determination of Ethanol in Gel Hand Sanitizers Using Mid and Near Infrared Spectroscopy” LINK

“Dynamic monitoring of fatty acid value in rice storage based on a portable near-infrared spectroscopy system” LINK

“Establishment of an Accurate Starch Content Analysis System for Fresh Cassava Roots Using Short-Wavelength Near Infrared Spectroscopy” LINK

“Photochemical upconversion of near-infrared light from below the silicon bandgap” LINK

” Rapid determination of adulteration in virgin and copra coconut oil using Fourier transform near infrared spectroscopy” LINK

“Non-destructive determination of fat and moisture contents in salmon (Salmo salar) fillets using near-infrared hyperspectral imaging coupled with spectral and textural …” LINK

“Penentuan Kandungan Kimia Utama Minyak Nilam (Pogostemon cablin Benth.) Menggunakan Portable Near Infrared Spectroscopy” LINK

“Evaluation of an autoencoder as a feature extraction tool for near-infrared spectroscopic discriminant analysis” LINK




Chemometrics and Machine Learning

“High-precision identification of the edible oil actual storage periods by FT-NIR spectroscopy combined with chemometrics methods” LINK

“Nearinfrared multivariate model transfer for quantification of different hydrogen bonding species in aqueous systems” LINK

“Rapid determination of polysaccharides and antioxidant activity of Poria cocos using near-infrared spectroscopy combined with chemometrics” LINK

“Quantifying Soluble Sugar in Super Sweet Corn Using Near-Infrared Spectroscopy Combined with Chemometrics” LINK

“… parameter optimization for discriminant model development: A case study of differentiating Pinellia ternata from Pinellia pedatisecta with near infrared spectroscopy” LINK




Optics for Spectroscopy

“Effective of adhesives in textiles on quantitative chemical analysis of fibers.” LINK




Research on Spectroscopy

“Assessment of Supercritical CO2 Extraction as a Method for Plastic Waste Decontamination” LINK




Equipment for Spectroscopy

“A Visible and Near-Infrared Light Activatable Diazo-Coumarin Probe for Fluorogenic Protein Labeling in Living Cells” LINK




Environment NIR-Spectroscopy Application

“Alterations of plastics spectra in MIR and the potential impacts on identification towards recycling” LINK

“Carbonates and organic matter in soils characterized by reflected energy from 350–25000 nm wavelength” LINK




Agriculture NIR-Spectroscopy Usage

“Remote Sensing, Vol. 12, Pages 2019: Study on Spectral Response and Estimation of Grassland Plants Dust Retention Based on Hyperspectral Data” LINK

“Application of FT-NIR spectroscopy and NIR hyperspectral imaging to predict nitrogen and organic carbon contents in mine soils” LINK




Forestry and Wood Industry NIR Usage

“The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties.” LINK

“Genetic improvement of the chemical composition of Scots pine (Pinus sylvestris L.) juvenile wood for bioenergy production” LINK




Food & Feed Industry NIR Usage

“Identification of Bacterial Blight Resistant Rice Seeds Using Terahertz Imaging and Hyperspectral Imaging Combined With Convolutional Neural Network” LINK

“Compositional method for measuring the nutritional label components of industrial pastries and biscuits based on Vis/NIR spectroscopy” PUFA TUFA LINK




Beverage and Drink Industry NIR Usage

“Reliable Discrimination of Green Coffee Beans Species: A Comparison of UV-Vis-Based Determination of Caffeine and Chlorogenic Acid with Non-Targeted Near …” LINK




Laboratory and NIR-Spectroscopy

“Machine vision estimates the polyester content in recyclable waste textiles” LINK




Other

“A spectral analysis of common boreal ground lichen species” LINK

“A 3D-polyphenylalanine network inside porous alumina: Synthesis and characterization of an inorganic–organic composite membrane” LINK

“近赤外分光法と多変量解析を用いた建築用材の識別とその汎化性能向上” LINK

“Implication de la vasopressine dans l’hypoperfusion tissulaire au cours du choc cardiogénique compliquant l’infarctus du myocarde” LINK

“Spectral Characteristics and Application of Synthetic Hydrothermal Red Beryl” LINK

“Structural and optical properties of copper oxide (CuO) nanocoatings as selective solar absorber” LINK





Cost comparision / Price comparison of Chemometrics / Machine Learning / Data Science for NIR-Spectroscopy

Reduce Operating Costs and Total Cost of Ownership (TCO) of NIR-Spectroscopy (NIRS) in the Digitalization Age.
NIR-Spectroscopy (NIRS) - Reduce cost, Increase revenue
Reduce Cost by automated NIR development.
Increase Revenue by higher accuracy NIR results.


CalibrationModel.com (CM) versus Others

Costs are not everything, there are other important factors listed in the table.

CM fix € pricing (approx.) Others € Price Range (approx.)
Software
included
Chemometric Package not‑needed
€3500 – €6500 per user
Chemometric Predictor
free‑software
€1500 – €2500 per NIR device
Knowledge
included
Chemometric Training not‑needed
€1500 – €2500 per user
Chemometrician* Salary not‑needed
1 years Salary / year
(+ risk of Employee Turnover)
Computation
included
Powerful Computer (many Processors, lot of RAM for big data) not‑needed
€1500 – €4500 per computer
Development and Usage
Development of a Calibration
€128
€80 – €150 / hour
of Chemometrician* using a Chemometric Software (click and wait) and applying it’s knowledge
Usage of a Calibration
€60 / year
Total €178 in first year
€60 in second year
initial (min €8000 , max €15500)
+ 2 * (2 – 4)(hour to cost same! as CM service) * (€80 – €150) Chemometrician* work
no initial cost
very high initial costs
no personnel cost
high personnel* costs
constant CM services
risk of Employee Turnover
global knowledge
risk of only use personal knowledge
easy to calculate fix cost on demand
difficult to calculate variable cost on demand plus Chemometrician* Recruitment needed
Results :
calibration prediction performance
always reproducible highly optimized
only as good as your Chemometrician* daily condition
better prediction performance, due to best-of 10’000x calibrations
small size of experiments, non-optimal calibrations

See also: pricing

Start Calibrate

*) Personnel / Chemometrician / Data Scientist / Data Analyst / Machine Learning Engineer : We are not against it, we are one of them a long time ago, but the way the work is done is changing (see below).

2019 Digitalization and the Future of Work: Macroeconomic Consequences
2019 The Digitalization of the American Workforce
2017 Digitalization and the American workforce , full-report

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


Benefit

It Enables

Videos


WHAT

WHY

HOW

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

We make NIR Chemometrics easy

Hi, we’re CalibrationModel. Our aim is to transform your NIR data to superior calibration models. We do this by using knowledge driven software applying good practices and rules from literature, publications, regulatory guidelines and more. Our service is used by NIR specialists to deliver a valuable model for their NIR analysis measurements. With CalibrationModel services, NIR specialists can find out how their NIR Data can be robust and optimally modeled by which data preprocessing and wavelength selection, etc. You can implement CalibrationModel in a matter of minutes using our contact form and send your NIR data to receive optimized model settings as a blueprint.

NIR specialists (Spectroscopist, Chemometricians) love perfect models. They’re curious about how to improve their models even further, because all NIR models need continuous maintenance and updates.


Using CalibrationModel services, NIR Specialists can deliver real value to their measurement results through powerful model optimization capabilities.


CalibrationModel
We make NIR Chemometrics easy.

Near-Infrared Data Modeling Calibration Service