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-Spectroscopy and Chemometrics News Weekly #43, 2020

NIR Calibration-Model Services

The free NIR-Predictor is an easy to use software for all NIR devices to produce quantitative results out of spectral data. Supports GRAMS .SPC, CSV, JCAMP and multiple native file formats of mobile and desktop spectrometers. VisNIR NIRS labequipment LINK

Do you use a near-infrared spectrometer with chemometric Methods? This will save you time | NIR NIRS VisNIR spectroscopy foodanalysis LINK

Spectroscopy and Chemometrics News Weekly 42, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK




Near-Infrared Spectroscopy (NIRS)

“Meat freshness revealed by visible to near-infrared spectroscopy and principal component analysis” LINK

“Fish Freshness Assessment using NIR spectroscopy” LINK

“Discrimination of Various Clones of Black Tea Using NIR Spectroscopy” LINK

“Latest work using handheld and benchtop NIRS devices to predict forage nutritive value” LINK

“Combining multivariate method and spectral variable selection for soil total nitrogen estimation by VisNIR spectroscopy” LINK

“Combination of NIR spectroscopy and machine learning for monitoring chili sauce adulterated with ripened papaya” LINK

“USING SPECTROSCOPY AND SUPPORT VECTOR REGRESSION TO PREDICT GASOLINE CHARACTERISTICS: A COMPARISON OF 1H NMR AND NIR” LINK

“Determination of metmyoglobin in cooked tan mutton using Vis/NIR hyperspectral imaging system.” | LINK

“Towards Fruit Maturity Estimation Using NIR Spectroscopy” LINK

“Remote and Vis-NIR spectra sensing potential for soil salinization estimation in the eastern coast of Urmia hyper saline lake, Iran” LINK




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

“Control of the extractable content of bioactive compounds in coffee beans by near infrared hyperspectral imaging” LINK

“Detection of Adulteration of Tapioca Starch with Dolomite by near Infrared Hyperspectral Imaging” LINK

“Near infrared absorption spectroscopy for the quantification of unsulfated alcohol in sodium lauryl ether sulfate” LINK

“A Residual Neural Network based Method for The Classification of Tobacco Cultivation Regions Using Near-infrared Spectroscopy Sensors” LINK

“Identification of ginseng according to geographical origin by near-infrared spectroscopy and pattern recognition” LINK

“Application of Near-Infrared Spectroscopy for Rice Characterization Using Machine Learning” LINK




Hyperspectral Imaging (HSI)

“Heavy metal Hg stress detection in tobacco plant using hyperspectral sensing and data-driven machine learning methods” LINK




Chemometrics and Machine Learning

“Assessment of total antioxidant capacity of altiplano colored quinoa (Chenopodium quinoa Willd) by visible and near-infrared diffuse reflectance spectroscopy and chemometrics” LINK

“Non-destructive discrimination of Illicium verum from poisonous adulterant using Vis/NIR hyperspectral imaging combined with chemometrics” LINK

“Classification of Smoke Contaminated Cabernet Sauvignon Berries and Leaves Based on Chemical Fingerprinting and Machine Learning Algorithms.” LINK

“Evaluation of temperature compensation methods for a nearinfrared calibration to predict the viscosity of micellar liquids” LINK

“FTIR spectroscopy with chemometrics for determination of Tylosin residues in milk” LINK




Optics for Spectroscopy

“Synthesis, growth, optical and third-order nonlinear optical properties of glycine sodium nitrate single crystal for photonic device applications” LINK




Research on Spectroscopy

“Low-cost analytic method for the identification of Cinnamon adulteration” LINK




Equipment for Spectroscopy

“Comparative analysis of rapid quality evaluation of Salvia miltiorrhiza (Danshen) with Fourier transform near-infrared spectrometer and portable near-infrared …” LINK




Process Control and NIR Sensors

“Experimental investigations on DC magnetron sputtering process parameters with optimization of Al thin film properties deposited on glass substrate” LINK




Agriculture NIR-Spectroscopy Usage

“Foods, Vol. 9, Pages 1273: Changes in Physical and Chemical Properties of Thermally and Oxidatively Degraded Sunflower Oil and Palm Fat” LINK

“Map-based site-specific seeding of consumption potato production using high-resolution soil and crop data fusion” LINK

“Short-term tundra plant-community nutrient responses to herbivory and warming: New insights from Near infrared-reflectance spectroscopy methodology” LINK

“Evaluation of soybean condition under various fertilizer application by the relationship of the red and near-infrared bands reflectance in scatter plot” LINK

“Prediction Accuracy Improvement of Indonesian Dairy Cattle Fiber Feed Compositions Using Near-Infrared Reflectance Spectroscopy Local Database” LINK




Horticulture NIR-Spectroscopy Applications

“Overall precision test of near infrared spectroscopy on mango fruits (Mangifera indica CV.’Nam Dok Mai Si Thong’) by on-line and off-line systems” LINK

“The overall precision test for near infrared scanning and reference method for the determination of soluble solids content and pH of mango for processing factory” LINK

“Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different maturation stages” LINK




Laboratory and NIR-Spectroscopy

“Pasture Quality Analysis–Comparison of pasture analysis techniques and results” LINK




Other

“Chemodiversity and antibacterial activity of the essential oil of leaves of Croton argyrophyllus Kunth” LINK





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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.