Spectroscopy and Chemometrics News Weekly #11, 2021

NIR Calibration-Model Services

Custom NIR Equations for better accuracy and precision for QA QC Testing Analysis Lab PAT NIRS NIR ag food LINK

Improve Accuracy of fast Nondestructive NIR Measurements by Optimal Calibration | foodquality agtech Lab biotech LINK

Spectroscopy and Chemometrics News Weekly 10, 2021 | 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 10, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 10, 2021 | 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 Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.

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Near-Infrared Spectroscopy (NIRS)

“Fast and contactless assessment of intact mango fruit quality attributes using near infrared spectroscopy (NIRS)” LINK

“NON-INVASIVE IDENTIFICATION OF COMMERCIAL GREEN TEA BLENDS USING NIR SPECTROSCOPY AND SUPPORT VECTOR MACHINE” LINK

” Mango internal defect detection based on optimal wavelength selection method using NIR spectroscopy” LINK

“Application of Fourier Transform Near-Infrared (FT-NIR) spectroscopy for detection of adulteration in palm sugar” LINK

“Quick assessment of chicken spoilage based on hyperspectral NIR spectra combined with partial least squares regression” LINK

“PENDUGAAN KANDUNGAN GIZI AMPAS TEBU (Bagasse) MENGGUNAKAN NIRS (Near Infrared Reflectance Spectroscopy)” LINK

“… condition of leaves during black tea processing via the fusion of electronic eye (E-eye), colorimetric sensing array (CSA), and micro-near-infrared spectroscopy (NIRS)” LINK

” NIR spectroscopy of natural medicines supported by novel instrumentation and methods for data analysis and interpretation” LINK




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

“A method using near infrared hyperspectral imaging to highlight the internal quality of apple fruit slices” LINK

“Use of near-infrared spectroscopy on predicting wastewater constituents to facilitate the operation of a membrane bioreactor” LINK

“Textile Recognition and Sorting for Recycling at an Automated Line Using Near Infrared Spectroscopy” LINK

“Identification of tomatoes with early decay using visible and near infrared hyperspectral imaging and imagespectrum merging technique” LINK

“Mineral equilibrium in commercial curd and predictive ability of near-infrared spectroscopy” LINK

“Organic fertilizer from agricultural waste: determination of phosphorus content using near infrared reflectance” LINK

“Robust fraudulence detection of patchouli oil plant using near infrared spectroscopy” LINK

“Rapid quantification of epigoitrin in the extraction process of Radix Isatidis using near infrared spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Nondestructive detection for egg freshness based on hyperspectral imaging technology combined with harris hawks optimization support vector regression” LINK




Chemometrics and Machine Learning

“Rapid screening of apple juice quality using ultraviolet, visible, and near infrared spectroscopy and chemometrics: A comparative study” LINK

“Portable Spectroscopy Calibration with Inexpensive and Simple Sampling Reference Alternatives for Dry Matter and Total Carotenoid Contents in Cassava Roots” LINK

“Gravity mass powder flow through conical hoppers–Part I: A mathematical model predicting the radial velocity profiles of free‐flowing granular systems as a function of …” LINK

“Simultaneous sex and species classification of silkworm pupae by” LINK

“Application of near infrared spectroscopy in chemometric modeling of tannin content and stiasny number of Pinus caribaea bark” LINK

“Monitoring UV-accelerated alteration processes of paintings by means of hyperspectral micro-FTIR imaging and chemometrics” LINK




Equipment for Spectroscopy

“Principle and optimum analysis of small near-infrared spectrometers based on digital micromirror device” LINK

We are excited to announce the release of the VIS-NIR version of our ultra compact PEBBLE spectrometer platform. The PEBBLE VIS-NIR is ideal for fluorescence and absorption spectroscopy. Read about our ultra compact PEBBLE VIS-NIR spectrometer here: LINK




Environment NIR-Spectroscopy Application

“Transfer learning strategy for plastic pollution detection in soil: Calibration transfer from high-throughput HSI system to NIR sensor” LINK

“UAS-Based Hyperspectral Environmental Monitoring of Acid Mine Drainage Affected Waters” Minerals LINK




Agriculture NIR-Spectroscopy Usage

” Comparison of UAV RGB imagery and hyperspectral remote-sensing data for monitoring winter-wheat growth” LINK

” Soil nutrient information extraction model based on transfer learning and near infrared spectroscopy” LINK

“Machine Learning-Based Prediction of Selected Parameters of Commercial Biomass Pellets Using Line Scan Near Infrared- Hyperspectral Image” LINK




Horticulture NIR-Spectroscopy Applications

” Nondestructive Assessment of Citrus Fruit Quality and Ripening by Visible–Near Infrared Reflectance Spectroscopy” LINK




Food & Feed Industry NIR Usage

“An Alternative Approach to Evaluate the Quality of Protein-Based Raw Materials for Dry Pet Food” LINK

“Predictive Ability of Four Small‐Scale Quality Tests for Dough Rheological Properties and Baking Quality in Hard Red Spring Wheat” LINK




Other

“Sequential Data Fusion Techniques for the Authentication of the P.G.I. Senise (Crusco) Bell Pepper” LINK





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Spectroscopy and Chemometrics News Weekly #3, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 2, 2021 | 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 2, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 2, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

“On the discrimination of soil samplesby derivative diffuse reflectance UV-Vis-NIR spectroscopy and Chemometric methods” LINK

“Quantitative Analysis of Organic Acids in Pomelo Fruit using FT-NIR Spectroscopy Coupled with Network Kernel PLS Regression” LINK

“Determination of foliar nitrogen in oil palm with spectroscopy in the middle infrared (MIR) and near infrared (NIR) by the method of regression of partial least squares of …” LINK

“Low-cost handheld NIR spectroscopy for identification of organic solvents and low-level quantification of water contamination.” LINK

“Prediction of Andrographolide Content in Andrographis paniculata Using NIR Spectroscopy” LINK

“Non-Destructive Prediction of Moisture Content of Philippine Coffea arabica and Coffea liberica Green Beans Using Locally-Developed NIR Spectroscopy Instrument” LINK

“Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy” LINK

“Detection of Flavor Adulterated Pu”er Tea by Near-Infrared Spectroscopy” LINK




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

“Near infrared spectroscopy model for analyzing chemical composition of biomass subjected to Fenton oxidation and hydrothermal treatment” LINK

“Texture evaluation of cooked parboiled rice using nondestructive milled whole grain near infrared spectroscopy” LINK

“Hyperspectral measurement of skin reflectance detects differences in the visible and nearinfrared regions according to race, gender, and body site.” LINK

“Effects of polymer molecular weight on curcumin amorphous solid dispersion; at-line monitoring system based on attenuated total reflectance mid-infrared and near-infrared spectroscopy” LINK

“Near-infrared hyperspectral imaging for monitoring the thickness distribution of thin poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) layers.” LINK

“Improved prediction of potassium and nitrogen in dried bell pepper leaves with visible and near-infrared spectroscopy utilising wavelength selection techniques” LINK

“Identification of Aspergillus species in human blood plasma by infrared spectroscopy and machine learning” LINK

“PLS-DA and Infrared Spectroscopy based rapid and non-destructive discrimination of black ball and gel pen inks for forensic application” forensic LINK

” Analysis of Glycated Hemoglobin by Near-Infrared Spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Spectral feature selection from hyperspectral dataset to identify pistachio leaves infected by Psylla” LINK




Chemometrics and Machine Learning

“Classification of Megathyrsus maximus Accessions Grown in The Colombian Dry Tropical Forest by Nutritional Assessment during contrasting seasons” LINK

“A global calibration model for prediction of intramuscular fat and pH in red meat using hyperspectral imaging” LINK

“Application of near-infrared spectroscopy and chemometrics for the rapid quality assessment of Sargassum fusiforme” LINK

“Comparison of Soil Total Nitrogen Content Prediction Models Based on Vis-NIR Spectroscopy” LINK

“An efficient tea quality classification algorithm based on near infrared spectroscopy and random Forest” LINK

“NIR spectroscopy fruit quality detection algorithm based on the least angle regression model” LINK




Process Control and NIR Sensors

“Free radical detection in water after processing by means of high voltage electrical discharges and high power ultrasound” LINK




Environment NIR-Spectroscopy Application

“Image and Point Data Fusion for Enhanced Discrimination of Ore and Waste in Mining” Minerals LINK




Agriculture NIR-Spectroscopy Usage

“Design of storage time identification system of lettuce based on Adaboost” LINK




Horticulture NIR-Spectroscopy Applications

“Determination of pectin in peach fruit by Fourier transform near infrared spectroscopy.” LINK




Food & Feed Industry NIR Usage

“Lipid and Protein Oxidation Marker Compounds in Horse Meat Determined by MIR Spectroscopy” LINK




Beverage and Drink Industry NIR Usage

“Physical and Chemical Effects of Different Working Gases in Coffee Brewing: A Case Study of Caffè Firenze” LINK

“Simultaneous Determination of Caffeine and Taurine in Energy Drinks by FT-MIR Spectroscopy Coupled with Multivariate Analysis” LINK




Laboratory and NIR-Spectroscopy

“Accurate confidence intervals for inter-laboratory calibration and common mean estimation” LINK




Other

“Alteration in the Amount of Glomalin in Transition from Forest to Field/Meadow” LINK





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 #37, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 36, 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 36, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 36, 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)

“NIR Spectroscopic Techniques for Quality and Process Control in the Meat Industry” LINK

“Estimating coefficient of linear extensibility using Vis–NIR reflectance spectral data: Comparison of model validation approaches” LINK

“NIR spectroscopy and chemometric tools to identify high content of deoxynivalenol in barley” LINK

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

“Multi-task deep learning of near infrared spectra for improved grain quality trait predictions” LINK

“Multi-factor Fusion Models for Soluble Solid Content Detection in Pear (Pyrus bretschneideri ‘Ya’) Using Vis/NIR Online Half-transmittance Technique” LINK

“Determining regression equations for predicting the metabolic energy values of barley-producing cultivars in Iran and comparing the results with the results of NIRS method and cultivars …” LINK

“Using Near-Infrared Reflectance Spectroscopy (NIRS) to Predict Glucobrassicin Concentrations in Cabbage and Brussels Sprout Leaf Tissue” LINK

“Near-Infrared Spectroscopy for Analyzing Changes of Pulp Color of Kiwifruit in Different Depths” LINK

“Novel NIR modeling design and assignment in process quality control of Honeysuckle flower by QbD” LINK




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

“Near-infrared spectroscopy to determine cold-flow improver concentrations in diesel fuel” LINK

“Improving spatial synchronization between X-ray and near-infrared spectra information to predict wood density profiles” LINK

“Functional principal component analysis for near-infrared spectral data: a case study on Tricholoma matsutakeis” LINK

“Midinfrared spectroscopy as a tool for realtime monitoring of ethanol absorption in glycols” LINK

“Inline characterization of dispersion uniformity evolution during a twinscrew blending extrusion based on nearinfrared spectroscopy” LINK

“Development of Fourier Transform near Infrared Spectroscopy Methods for the Rapid Quantification of Starch and Cellulose in Mozzarella and Other Italian-Type CHEESES” LINK

“Prediction of Anthocyanin Content in Three Types of Blueberry Pomace by Near-Infrared Spectroscopy” LINK

“Sweetness Detection and Grading of Peaches and Nectarines by Combining Short-and Long-Wave Fourier-Transform Near-Infrared Spectroscopy” LINK




Spectral Imaging

“Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn” Remote Sensing LINK




Chemometrics and Machine Learning

“Combination of visible reflectance and acoustic response to improve nondestructive assessment of maturity and indirect prediction of internal quality of redfleshed pomelo” LINK

“Green Analytical Methods of Antimalarial Artemether-Lumefantrine Analysis for Falsification Detection Using a LowCost Handled NIR Spectrometer with DD-SIMCA and Drug Quantification by HPLC” LINK

“Data fusion of UPLC data, NIR spectra and physicochemical parameters with chemometrics as an alternative to evaluating kombucha fermentation” LINK

“Effect of physicochemical factors and use of milk powder on milk rennet-coagulation: Process understanding by near infrared spectroscopy and chemometrics” LINK

“A Digital Approach to Model Quality and Sensory Traits of Beers Fermented under Sonication Based on Chemical Fingerprinting” LINK

“Latent Variable Graphical Modeling for High Dimensional Data Analysis” LINK




Equipment for Spectroscopy

“Evaluation of Salmon, Tuna, and Beef Freshness Using a Portable Spectrometer” Sensors LINK

“Developing a soil spectral library using a low-cost NIR spectrometer for precision fertilization in Indonesia” LINK

“Compact Solid Etalon Computational Spectrometer: FY19 Optical Systems Technology Line-Supported Program” LINK




Agriculture NIR-Spectroscopy Usage

“Detection of Melamine Adulteration in Milk Powder by Using Optical Spectroscopy Technologies in the Last Decade—a Review” LINK




Horticulture NIR-Spectroscopy Applications

“Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy” LINK

“Recent Advances in Spectral Analysis Techniques for Non-Destructive Detection of Internal Quality in Watermelon and Muskmelon: A Review” “光谱分析在西甜瓜内部品质无损检测中的研究进展” LINK




Food & Feed Industry NIR Usage

“Detection of fraud in highquality rice by nearinfrared spectroscopy” LINK

“Detecting food fraud in extra virgin olive oil using a prototype portable hyphenated photonics sensor” LINK

“Nondestructive detection of sunset yellow in cream based on near-infrared spectroscopy and interval random forest” LINK




Other

“The Detection of Substitution Adulteration of Paprika with Spent Paprika by the Application of Molecular Spectroscopy Tools.” LINK

“The Effect of Monomers on the Recognition Properties of Molecularly Imprinted Beads for Proto-hypericin and Proto-pseudohypericin” | FLOREA GAVRILA 1 20.pdf LINK





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Spectroscopy and Chemometrics News Weekly #31, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 30, 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 30, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 30, 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)

“Classifying Wood Properties of Loblolly Pine Grown in Southern Brazil Using NIR-Hyperspectral Imaging” Forests LINK

“Application of Fourier Transform Near-Infrared (FT-NIR) and Fourier Transform Infrared (FT-IR) Spectroscopy Coupled with Wavelength Selection for Fast Discrimination of Similar Color of Tuber Flours” LINK

“Aseguramiento de la calidad y autentificación de vinagres de vino mediante sensores NIRS” LINK

“One leaf for all: Chemical traits of single leaves measured at the leaf surface using Near infrared‐reflectance spectroscopy (NIRS)” LINK

“On-Chip Laser-Absorptionsspektrometer macht kleines Analysegerät möglich” NIR VIS LINK

Some new results on near infrared spectroscopy for detecting sporozoites in malaria vectors. We tested the method using mosquitoes infected with Pl. falciparum field isolates from asymptomatic gametocyte carriers in Kilifi, Kenya. KEMRI_Wellcome NIRS LINK

“One leaf for all: Chemical traits of single leaves measured at the leaf surface using Near infraredreflectance spectroscopy (NIRS)” LINK




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

“Near-infrared spectroscopy with linear discriminant analysis for green’Robusta’coffee bean sorting.” LINK

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

“Water-Soluble Carbohydrates of Cool-Season Grasses: Prediction of Concentrations by Near-Infrared Reflectance Spectroscopy and Evaluation of Effects of Genetics, Management, and Environment.” LINK

“Rapid authentication of Pseudostellaria heterophylla (Taizishen) from different regions by near-infrared spectroscopy combined with chemometric methods.” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral characterization of reepithelialization in an in vitro wound model” LINK




Chemometrics and Machine Learning

“Comparisons the prediction results of soil properties based on Fuzzy C-means clustering and expert knowledge from laboratory Vis-NIR spectroscopy data” LINK

“Near-infrared spectroscopy combined with chemometrics for quality control of German chamomile (Matricaria recutita L.) and detection of its adulteration by related …” LINK

“A novel method to rapidly evaluate the quality of the traditional Chinese medicine Gentiana straminea Maxim. using near infrared spectroscopy coupled with chemometrics” LINK

“Prediction of strength properties of poplar alkaline peroxide mechanical pulp using near infrared spectroscopy and multivariate calibration” LINK

“Wavelet based calibration model building of NIR Spectroscopy for in-situ measurement of granule moisture content during fluidized bed drying” LINK

“Novel Application of Near-infrared Spectroscopy and Chemometrics Approach for Detection of Lime Juice Adulteration” LINK

“Combination of efficient signal pre-processing and optimal band combination algorithm to predict soil organic matter through visible and near-infrared spectra.” LINK




Equipment for Spectroscopy

“Handheld Near-Infrared Spectrometers: Reality and Empty Promises” LINK

“Quality assessment of instant green tea using portable NIR spectrometer.” Caffeine Catechin LINK




Environment NIR-Spectroscopy Application

“… Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral …” LINK

“Physicochemical and Mineralogical Characterization of the Mediterranean Soils of Triffa Plain (Northeast of Morocco) by the Physicochemical Analysis, X-ray Diffraction and Vis-NIR Spectroscopy” LINK

“A deep learning CNN architecture applied in smart near-infrared analysis of water pollution for agricultural irrigation resources” LINK




Agriculture NIR-Spectroscopy Usage

“Feasibility study for the surface prediction and mapping of phytonutrients in minimally processed rocket leaves (Diplotaxis tenuifolia) during storage by hyperspectral …” LINK

“Sensors, Vol. 20, Pages 3438: A Compact Mid-Infrared Spectroscopy System for Healthcare Applications Based on a Wavelength-Swept, Pulsed Quantum Cascade Laser” LINK

“Near-infrared reflectance spectroscopy as a tool for breeding Andropogon gayanusKunth for forage quality” DOI: 10.9790/2380-1306015766 LINK

“Near infrared (NIR) spectroscopy as a rapid and cost-effective method for nutrient analysis of plant leaf tissues” LINK

Another fruitful collaboration with with Jeremy’s Honours literature review forms the basis of a review article in Advances in Agronomy LINK

“Vis/NIR hyperspectral imaging distinguishes sub-population, production environment, and physicochemical grain properties in rice” LINK

“Remote Sensing, Vol. 12, Pages 1920: Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) Infection in Young Tomato Plants Using VisNIR Spectroscopy” LINK




Horticulture NIR-Spectroscopy Applications

“Empirical approach to improve the prediction of soluble solids content in mango using near-infrared spectroscopy.” LINK

“Non-Destructive Quality Characterization of Peach Fruit Using Vis/NIR Spectroscopy and Multivariate Analyzing” LINK




Food & Feed Industry NIR Usage

“Development of local calibrations for the nutritional evaluation of fish meal and meat & bone meal by using near-infrared reflectance spectroscopy” LINK

“Evaluation of a hand‐held spectrophotometer as an in‐field phenotyping tool for tomato and pepper fruit quality” LINK




Other

“Ammonia Sensor Based on Vapor Phase Polymerized Polypyrrole” LINK

“Evaluation of near nfrared spectroscopy for sporozoite detection in mosquitoes infected with wild-strain parasites from asymptomatic gametocyte carriers in Kilifi Kenya” LINK



How to start building a NIR Calibration (a NIR prediction model)?

With at least 60-100 different NIR measured samples with different Lab values
we can develop a quantitative NIR Calibration for you!

You don’t need to operate with expensive Chemometric Software.
Don’t worry, prices are inexpensive for that and all software you need is included.
Price comparison

The free NIR-Predictor software allows to combine your measured NIR-Spectra with the Lab values of the samples. And checks your data and creates a Calibration Request file for you. NIR-Predictor Info

With that you can order your individual customized calibration, by sending the Calibration Request file to info@CalibrationModel.com.

After processing you will get an Email with a link to access your customize calibrations in our WebShop where you can purchase and download the calibration file immediately
for use in the included free NIR-Predictor software to get results predicted out of spectra files. NIR-Predictor software

For your Calibration start-up cycle we provide low-price short living calibrations, that work for e.g. 3 or 6 months. Pricing

During that Calibration usage time you have measured more samples and collected more NIR and Lab data to build a bigger and better calibration.
E.g. you got samples that extend the range of the constituents.
Or you have collected the Lab values of additional constituents.

Yes out of an measured NIR-Spectrum you can get multiple constituents predicted at the same time (a quantitative calibration per constituent is needed).

And NIR-Predictor does handle this with ease and creates NIR Prediction Reports (printable, archive-able) of all the calibrations you have in folder named with e.g. “MyFruitApplication”.

And having multiple such applications, in NIR-Predictor you can easily switch between the applications for analyzing new NIR spectra files.

The NIR spectra files are found from the stored or exported folder from your NIR-Spectrometer software. supported File Formats



NIR Calibration Service explained


Start Calibrate