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



Spectroscopy and Chemometrics News Weekly #41, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 40, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

NIR-Spectroscopy and Chemometrics News Weekly 40, 2020 Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 40, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 40, 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)

“Comparison of four mobile, non‐invasive diagnostic techniques for differentiating glass types in historical leaded windows: MA‐XRF, UV–Vis–NIR, Raman …” LINK

“NIR associated to PLS and SVM for fast and non-destructive determination of C, N, P, and K contents in poultry litter” LINK

“Feasibility of FT-NIR spectroscopy and Vis/NIR hyperspectral imaging for sorting unsound chestnuts” LINK

“Estimating purple-soil moisture content using Vis-NIR spectroscopy” | LINK




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

“Classification approaches for sorting maize (Zea mays subsp. mays) haploids using single‐kernel near‐infrared spectroscopy” LINK

“Near Infrared and Aquaphotomic analysis of water absorption in lactate containing media” LINK

“Classification of Imbalanced Near-infrared Spectroscopy Data” LINK

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

“Measurement of the diffusion coefficient and hydrogen bonds of water in a dry-protective solution by microscopic near-infrared spectroscopy” LINK

“Authentication of Antibiotics Using Portable Near-Infrared Spectroscopy and Multivariate Data Analysis” LINK

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

“Assessment of some wood properties by near infrared spectroscopy” LINK

“Impact of spectroscopic information on total column water vapor retrieval in the near-infrared spectral region” LINK

“Prediction of intramuscular fat in lamb by visible and near-infrared spectroscopy in an abattoir environment” LINK




Raman Spectroscopy

“Principal Component Regression for Forensic Age Determination Using the Raman Spectra of Teeth” LINK




Hyperspectral Imaging (HSI)

“Rapid and nondestructive evaluation of hygroscopic behavior changes of thermally modified softwood and hardwood samples using near-infrared hyperspectral imaging (NIR-HSI)” LINK

“Differentiation of Environmental Bacteria Using Hyperspectral Imaging Technology And Multivariate Analysis” LINK




Chemometrics and Machine Learning

“Comprehensive chemometric classification of snack products based on their near infrared spectra” LINK

“Adulteration detection of corn oil, rapeseed oil and sunflower oil in camellia oil by in situ diffuse reflectance near-infrared spectroscopy and chemometrics” LINK

“Near-Infrared Spectroscopy Coupled Chemometric Algorithms for Rapid Origin Identification and Lipid Content Detection of Pinus Koraiensis Seeds” Sensors LINK

“Application of Generative Adversarial Network for the Prediction of Gasoline Properties” LINK

“Near Infrared Reflectance Spectroscopy Coupled to Chemometrics as a Cost-Effective, Rapid and Non-Destructive Tool for Fish Fraud Control: Monitoring Source …” LINK

“Using chemometrics to characterise and unravel the near infra-red spectral changes induced in aubergine fruit by chilling injury as influenced by storage time and …” LINK




Equipment for Spectroscopy

“Water as a probe to understand the traditional Chinese medicine extraction process with near infrared spectroscopy: a case of Danshen (Salvia miltiorrhiza Bge) …” LINK




Process Control and NIR Sensors

“Sample Mass Estimate for the Use of Near-Infrared and Raman Spectroscopy to Monitor Content Uniformity in a Tablet Press Feed Frame of a Drug Product Continuous Manufacturing Process” LINK




Environment NIR-Spectroscopy Application

“ESTIMATION OF SOIL HEAVY METAL COMBINING FRACTIONAL ORDER DERIVATIVE” LINK

“Metabolomics approaches for analysing effects of geographic and environmental factors on the variation of root essential oils of Ferula assa-foetida L.” LINK




Agriculture NIR-Spectroscopy Usage

“Principles and Applications of Vibrational Spectroscopic Imaging in Plant Science: A Review.” LINK




Food & Feed Industry NIR Usage

“Multi-block classification of chocolate and cocoa samples into sensory poles” LINK




Pharma Industry NIR Usage

“Rapid quantification of active pharmaceutical ingredient for sugar-free Yangwei granules in commercial production using FT-NIR spectroscopy based on machine …” LINK




Laboratory and NIR-Spectroscopy

“Resin and volatile content of melamine-impregnated paper assessed by near infrared spectroscopy, a simulation of the industrial process using a laboratory-scale …” | LINK




Other

“Development of an automatic sorting robot for construction and demolition waste” LINK

“SEASONAL SPECTRAL SEPARABILITY OF SELECTED GRASSES: CASE STUDY FROM THE KRKONOŠE MTS. TUNDRA ECOSYSTEM” LINK

“Polymer types ingested by northern fulmars (Fulmarus glacialis) and southern hemisphere relatives.” LINK

“High-sensitive spectroscopy for remote sensing of concrete structures” LINK





Spectroscopy and Chemometrics News Weekly #40, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 39, 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)

“Development of a Near Infrared Reflectance Spectroscopy (NIRS) Platform for Rapid Wheat Quality Analysis” LINK

Near infrared spectroscopy (NIRS), however, is relatively cheap (once you have the machine), and non-destructive. In this article, we demonstrate that adequate calibrations can be obtained for total terpene content and some specific terpenoids for pines, spruces and thuja LINK

“Special Issue on Brain Machine/Computer Interface and its Application” fNIRS LINK

“Performance of near-infrared (NIR) spectroscopy in pork shoulder as a predictor for pork belly softness” LINK

“Omega-3 and Omega-6 Determination in Nile Tilapia’s Fillet Based on MicroNIR Spectroscopy and Multivariate Calibration” LINK

“Single-Kernel FT-NIR Spectroscopy for Detecting Supersweet Corn (Zea mays L. Saccharata Sturt) Seed Viability with Multivariate Data Analysis” LINK

“Untargeted classification for paprika powder authentication using visible–Near infrared spectroscopy (VIS-NIRS)” LINK

“Monitoring the composition, authenticity and quality dynamics of commercially available Nigerian fat-filled milk powders under inclement conditions using NIRS, chemometrics, packaging and …” LINK

“Predicting total petroleum hydrocarbons in field soils with Vis–NIR models developed on laboratory‐constructed samples” LINK

“Modeling mass loss of biomass by NIRspectrometry during the torrefaction process” LINK




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

“Rapid determination of the chemical compositions of peanut seed (Arachis hypogaea.) using portable Near-Infrared Spectroscopy” LINK

“Simultaneous detection of trace adulterants in food based on multi-molecular infrared (MM-IR) spectroscopy” LINK

“Monitoring the quality of ethanol-based hand sanitizers by low-cost near-infrared spectroscopy” LINK

“Prediction of neutral detergent fiber content in corn stover using near-infrared spectroscopy technique” LINK

“Applied Sciences, Vol. 10, Pages 5801: Potential Use of Near-Infrared Spectroscopy to Predict Fatty Acid Profile of Meat from Different European Autochthonous Pig Breeds” LINK

“Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach” LINK

“Multivariate classification for the direct determination of cup profile in coffee blends via handheld near-infrared spectroscopy” LINK

“QUANTITATIVE CHARACTERIZATION OF SUSTAINED RELEASE TABLETS WITH DICLOFENAC SODIUM BY MEANS OF NEAR-INFRARED SPECTROSCOPY AND …” LINK




Raman Spectroscopy

“Raman spectroscopy and machine-learning for edible oils evaluation” LINK




Hyperspectral Imaging (HSI)

“Application of hyperspectral imaging for detecting and visualizing leaf lard adulteration in minced pork” LINK

“Detection of Shape Characteristics of Kiwifruit Based on Hyperspectral Imaging Technology” LINK




Chemometrics and Machine Learning

“A rapid food chain approach for authenticity screening: the development, validation and transferability of a chemometric model using two handheld near infrared spectroscopy …” LINK




Equipment for Spectroscopy

“Principles and applications of miniaturized nearinfrared (NIR) spectrometers” LINK

“A comparison of different optical instruments and machine learning techniques to identify sprouting activity in potatoes during storage” | LINK




Environment NIR-Spectroscopy Application

“Water-based measured-value fuzzification improves the estimation accuracy of soil organic matter by visible and near-infrared spectroscopy.” LINK




Agriculture NIR-Spectroscopy Usage

“In situ effective snow grain size mapping using a compact hyperspectral imager” LINK

“Estimation of soil nitrogen in agricultural regions by VNIR reflectance spectroscopy” LINK




Food & Feed Industry NIR Usage

“Rapid screening of DON contamination in whole wheat meals by Vis/NIR spectroscopy and computer vision coupling technology” LINK

“Quantitative Analysis of Perennial Buckwheat Leaves Protein and GABA Using Near Infrared Spectroscopy” LINK




Laboratory and NIR-Spectroscopy

“Near-infrared laboratory measurements of feldspathic rocks as a reference for hyperspectral Martian remote sensing data interpretation.” LINK




Other

“Determinación de la calidad de carne bovina y la aceptación por parte del consumidor mediante el uso de pruebas con base en infrarrojo cercano” LINK

“Validación de un algoritmo de procesamiento de imágenes Red Green Blue (RGB), para la estimación de proteína cruda en gramíneas vs la tecnología de …” LINK

“IonQ claims it has built the most powerful quantum computer yet” QuantumComputing LINK

“D-Wave’s 5,000-qubit quantum computing platform handles 1 million variables” LINK

“The Sample, the Spectra and the Maths-The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy.” LINK





.

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.