Spectroscopy and Chemometrics News Weekly #26, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 25, 2021 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality 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.




Near-Infrared Spectroscopy (NIRS)

“Thermally Stable CaLu2Mg2Si3O12:Cr3+ Phosphors for NIR LEDs” LINK

“A New Statistical Approach for fNIRS Hyperscanning to Predict Brain Activity of Preschoolers’ Using Teacher’s” LINK

“NIR: 21st-Century Innovations” LINK




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

“Suitability of the muscle O2 resaturation parameters most used for assessing reactive hyperemia: a near-infrared spectroscopy study” LINK

“Simultaneous Quantification of 14 Compounds in Achillea millefolium by GC-MS Analysis and Near-Infrared Spectroscopy Combined with Multivariate …” | LINK

“Rapid Determination of the Total Phosphorus and the Nitrate Nitrogen in Denitrifying Phosphorus Removal with iPLS and Near Infrared Spectroscopy” LINK

“Estimation of Andrographolides and Gradation of Andrographis paniculata Leaves Using Near Infrared Spectroscopy Together With Support Vector Machine” LINK

“Nondestructive Phenolic Compounds Measurement and Origin Discrimination of Peated Barley Malt using Near-infrared Hyperspectral Imagery and Machine …” LINK

” Suitability of the muscle O2 resaturation parameters most used for assessing reactive hyperemia: a near-infrared spectroscopy study” LINK

“New perspective for the in-field analysis of cannabis samples using handheld near-infrared spectroscopy: A case study focusing on the determination of Δ9 …” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band Selection” LINK

“Comparison of Texture Feature Extraction Methods for Hyperspectral Imagery Classification” LINK

“Hyperspectral Estimation of Heavy Metal Pb Concentration in Vineyard Soil in Turpan Basin” LINK




Chemometrics and Machine Learning

“Spectroscopic Fingerprinting and Chemometrics for the Discrimination of Italian Emmer Landraces” LINK

“Determination of extractive content in Cupressus sempervirens wood through a NIRS-PLSR model and its correlation with durability” LINK

“Optimization by Means of Chemometric Tools of an Ultrasound-Assisted Method for the Extraction of Betacyanins from Red Dragon Fruit (Hylocereus polyrhizus)” LINK

“The use of vibrational spectroscopy to predict vitamin C in Kakadu plum powders” LINK

“Fast quantification of total volatile basic nitrogen (TVB-N) content in beef and pork by near-infrared spectroscopy: Comparison of SVR and PLS model” LINK

“Combination of machine learning and VIRS for predicting soil organic matter” | LINK




Facts

“Hybrid Machine Learning for Scanning Near-field Optical Spectroscopy.” LINK




Research on Spectroscopy

“Rapid Synthesis of RedEmitting Sr2Sc0.5Ga1.5O5:Eu2+ Phosphors and the Tunable Photoluminescence Via Sr/Ba Substitution” LINK




Equipment for Spectroscopy

“MEMS and MOEMS Based Visible and NearInfrared Spectrometers” LINK




Process Control and NIR Sensors

“Semi-Automatic Fractional Snow Cover Monitoring from Near-Surface Remote Sensing in Grassland” LINK




Agriculture NIR-Spectroscopy Usage

“Usage of Airborne Hyperspectral Imaging Data for Identifying Spatial Variability of Soil Nitrogen Content” LINK

“Determination of acid value during edible oil storage using a portable” LINK




Food & Feed Industry NIR Usage

“Identifying the best rice physical form for non-destructive prediction of protein content utilising near-infrared spectroscopy to support digital phenotyping” LINK

“Bioactive Phenolic Metabolites from Adriatic Brown Algae Dictyota dichotoma and Padina pavonica (Dictyotaceae)” Foods LINK

“Spectroscopic approaches for non-destructive shell egg quality and freshness evaluation: opportunities and challenges” LINK




Medicinal Spectroscopy

“Towards Development of LED-based Time-Domain Near-IR Spectroscopy System for Delineating Breast Cancer from Adjacent Normal Tissue” LINK




Other

“The Effect of Principal Component Analysis Parameters on Solar-Induced Chlorophyll Fluorescence Signal Extraction” LINK

“Er3+doped antimonysilica glass and fiber for broadband optical amplification” LINK

“Newly developed glass samples containing P2O5-B2O3-Bi2O3-Li2O-CdO and their performance in optical and radiation attenuation applications” LINK

“Discrimination and Quantitation of Biologically Relevant Carboxylate Anions Using A [DyePAMAM] Complex” Sensors LINK


Spectroscopy and Chemometrics News Weekly #25, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 24, 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 24, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 24, 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.




Near-Infrared Spectroscopy (NIRS)

” CARACTERIZACIÓN QUIMICA DE SUELOS VOLCANICOS UTILIZANDO ESPECTROSCOPIA DE INFRARROJO CERCANO (NIRS)” LINK

“Development of an FT-NIR Method to Predict Process Cheese Functionality” LINK

“An effective classification framework for brain-computer interface system design based on combining of fNIRS and EEG signals” LINK

“Coronary artery disease and its impact on the pulsatile brain: A functional NIRS study” LINK

“Predicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients” | LINK

“Automated Detection of Tetranychus urticae Koch in Citrus Leaves Based on Colour and VIS/NIR Hyperspectral Imaging” LINK




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

” A novel spectral index for estimating fractional cover of non-photosynthetic vegetation using near-infrared bands of Sentinel satellite” LINK

“Spatial distribution of total polyphenols in multi-type of tea using near-infrared hyperspectral imaging” LINK

“Investigation on the Mechanisms of Mg(OH)2 Dehydration and MgO Hydration by Near-Infrared Spectroscopy” LINK

“Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species” LINK

“Nondestructive determination of SSC in Korla Fragrant Pear using a portable near-infrared spectroscopy system” LINK

“Applied Sciences, Vol. 11, Pages 4717: 808-Nm Near-Infrared Laser Photobiomodulation versus Switched-Off Laser Placebo in Major Aphthae Management: A Randomized Double-Blind Controlled Trial” LINK

“Titration of Inspired Oxygen in Preterm Infants with Hypoxemic Respiratory Failure Using Near Infrared Spectroscopy and Pulse Oximetry: A New Approach” LINK

“Shedding light on neuroscience: Two decades of functional nearinfrared spectroscopy applications and advances from a bibliometric perspective” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral Detection and Monitoring of Salt Stress in Pomegranate Cultivars” Agronomy LINK

“Applied Sciences, Vol. 11, Pages 4588: Beef Quality Grade Classification Based on Intramuscular Fat Content Using Hyperspectral Imaging Technology” LINK




Spectral Imaging

“Artificial Intelligence Empowered Multispectral Vision Based System for Non-Contact Monitoring of Large Yellow Croaker (Larimichthys crocea) Fillets” Foods LINK




Chemometrics and Machine Learning

” Assessment of chicken breast shelf life based on bench-top and portable near-infrared spectroscopy tools coupled with chemometrics” LINK

” Prediction of the particle size and flow characteristics of powder blends for tableting by near-infrared spectroscopy and chemometrics” LINK

“Antibacterial Activity of Moroccan Zantaz Honey and the Influence of Its Physicochemical Parameters Using Chemometric Tools” AppliedSciences LINK

“Predicting pectin performance strength using nearinfrared spectroscopic data: A comparative evaluation of 1D convolutional neural network, partial least squares, and ridge regression modeling” LINK

“Sequential and orthogonalized PLS (SOPLS) regression for path analysis: Order of blocks and relations between effects” LINK

“The Impacts of Spatial Resolution, Viewing Angle, and Spectral Vegetation Indices on the Quantification of Woody Mediterranean Species Seasonality Using Remote Sensing” LINK

“Partial least squares and silver nanoparticles in spectrophotometric prediction of total hardness of water” LINK

“Genetic robust kernel sample selection for chemometric data analysis” LINK




Equipment for Spectroscopy

“Nearinfrared triggered drug delivery of Imatinib Mesylate by molybdenum disulfide nanosheets grafted copolymers as thermosensitive nanocarriers” LINK




Process Control and NIR Sensors

“IQR CUSUM charts: An efficient approach for monitoring variations in aquatic toxicity” LINK




Environment NIR-Spectroscopy Application

“Study on hyperspectral estimation model of soil organic carbon content in the wheat field under different water treatments” LINK

“Ecometabolic mixture design-fingerprints from exploratory multi-block data analysis in Coffea arabica beans from climate changes: Elevated carbon dioxide and reduced soil water availability” LINK




Agriculture NIR-Spectroscopy Usage

“Integrating Straw Management and Seeding to Improve Seed Yield and Reduce Environmental Impacts in Soybean Production” Agronomy LINK

” Soil N 2 O flux and nitrification and denitrification gene responses to feed-induced differences in the composition of dairy cow faeces” | LINK




Food & Feed Industry NIR Usage

“Pulsed Electric Field (PEF) Processing of Chilled and Frozen-Thawed Lamb Meat Cuts: Relationships between Sensory Characteristics and Chemical Composition of Meat” Foods LINK




Other

“Racial Differences in Hemodynamic Responses to Lower Body Negative Pressure: The Effects of Capsaicin” LINK

“苹果可溶性固形物的可见/近红外无损检测” LINK

“Quantitative vibrational spectroscopy on liquid mixtures: concentration units matter” LINK

“Enhanced light harvesting in dyesensitized solar cells enabled by TiO2:Er3+, Yb3+ upconversion phosphor particles as solar spectral converter and light scattering medium” 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



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 #18, 2020

NIR Calibration-Model Services

What Lab Managers and QCLaboratory need to know about NIR Spectroscopy (NIRS) Calibration LINK

Spectroscopy and Chemometrics News Weekly 17, 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 17, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 17, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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



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

“Near-infrared spectroscopy as a new method for post-harvest monitoring of white truffles” LINK

“Fiber Content Determination of Linen/Viscose Blends Using NIR Spectroscopy” LINK

” RAPID EVALUATION OF DRY WHITE KIDNEY BEANS COOKING CHARACTERISTICS BY NEAR-INFRARED (NIR) SPECTROSCOPY” LINK



“Functional Classification of Feed Items in Pampa Grassland, Based on Their Near-Infrared Spectrum” LINK

“A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy” LINK

“Rapid Prediction of Apparent Amylose, Total Starch, and Crude Protein by Near‐Infrared Reflectance Spectroscopy for Foxtail Millet (Setaria italica)” LINK

“A novel CC-tSNE-SVR model for rapid determination of diesel fuel quality by near infrared spectroscopy” LINK

” Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy” LINK

“Determination of in situ ruminal degradation of phytate phosphorus from single and compound feeds in dairy cows using chemical analysis and near-infrared spectroscopy” LINK

“Non-destructive assessment of moisture content and modulus of rupture of sawn timber Hevea wood using near infrared spectroscopy technique” LINK

” Multiblock PLS-DA on fecal and plasma visible-near-infrared spectra for discriminating young bulls according to their efficiency. Preliminary results” LINK

” RAPID, NONDESTRUCTIVE AND SIMULTANEOUS PREDICTIONS OF SOIL CONTENT IN WULING MOUNTAIN AREA USING NEAR INFRARED …” LINK

“Accurate prediction of glucose concentration and identification of major contributing features from hardly distinguishable near-infrared spectroscopy” LINK




Raman Spectroscopy

“Differentiating cancer cells using Raman spectroscopy (Conference Presentation)” LINK

“Surfaceenhanced Raman spectroscopy for onsite analysis: A review of recent developments” LINK




Hyperspectral Imaging (HSI)

“Estimating leaf mercury content in Phragmites australis based on leaf hyperspectral reflectance” LINK

“Detection and identification of Cannabis sativa L. using near infrared hyperspectral imaging and machine learning methods. A feasibility study.” LINK

“A hyperspectral microscope based on a birefringent ultrastable common-path interferometer (Conference Presentation)” LINK

“Performance of Fluorescence and Diffuse Reflectance Hyperspectral Imaging for Characterization of Lutefisk: A Traditional Norwegian Fish Dish” LINK




Spectral Imaging

“Multispectral imaging for predicting the water status in mushroom during hotair dehydration” LINK




Chemometrics and Machine Learning

“Identification of invisible biological traces in forensic evidences by hyperspectral NIR imaging combined with chemometrics” LINK

“Sample selection, calibration and validation of models developed from a large dataset of near infrared spectra of tree leaves” Eucalyptus forage quality LINK

“Detection and Assessment of Nitrogen Effect on Cold Tolerance for Tea by Hyperspectral Reflectance with PLSR, PCR, and LM Models” LINK

“Vibrational spectroscopy and chemometrics for quantifying key bioactive components of various plum cultivars grown in New Zealand” LINK




Environment NIR-Spectroscopy Application

“Remote Sensing, Vol. 12, Pages 931: Optical Water Type Guided Approach to Estimate Optical Water Quality Parameters” LINK

“Estimation of total nitrogen and organic carbon contents in mine soils with NIR reflectance spectroscopy and various chemometric methods” LINK




Agriculture NIR-Spectroscopy Usage

“Development of a compact multimodal imaging system for rapid characterisation of intrinsic optical properties of freshly excised tissue (Conference Presentation)” LINK

“Complex Food Recognition using Hyper-Spectral Imagery” LINK

“Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm.” LINK

“Remote Sensing, Vol. 12, Pages 940: Editorial for the Special Issue Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery”” LINK

“The development of models to predict the nutritional value of feedstuffs and feed mixture using NIRS” LINK

“Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy” LINK




Food & Feed Industry NIR Usage

“Beef Nutritional Quality Testing and Food Packaging” LINK




Laboratory and NIR-Spectroscopy

“UV Irradiation and Near Infrared Characterization of Laboratory Mars Soil Analog Samples: the case of Phthalic Acid, Adenosine 5′-Monophosphate, L-Glutamic Acid …” molecular biosignatures; spectroscopy; lifedetection LINK





Spectroscopy and Chemometrics News Weekly #16, 2020

NIR Calibration-Model Services

Feed your favorite spectral Food Scanner sensor with customized specialized analysis models by downloading the free NIR-Predictor software. Collect Laboratory data and build your calibrations! | spectroscopy analyzer food dairy quality IoT LINK

Ho to improve your Near Infra Red (NIR) Analyzer Precision Accuracy Performance | nearIR Lab NIRS Light LINK

How to improve your NIRS analysis, get the free White Paper | infrared QAQC foodquality ingredients constituents LINK

Improve Accuracy of fast Nondestructive NIRS Measurements by Optimal Calibration | Feed Lab prediction Sensor LINK

Increase Your Profit with optimized NIR Accuracy Chocolate Bakery Tea Meat LINK

Spectroscopy and Chemometrics News Weekly 15, 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 15, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 15, 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)

“Authentication of Iberian pork official quality categories using a portable near infrared spectroscopy (NIRS) instrument” meat pig LINK

“NIR SPECTROSCOPY METHOD FOR FATTY ACID CONTENT OF OILSEEDS” LINK

“Proximate composition determination in goat cheese whey by near infrared spectroscopy (NIRS).” LINK

“Soil Organic Carbon Prediction by Vis-NIR Spectroscopy: Case Study the Kur-Aras Plain, Azerbaijan” LINK

“Near infrared spectroscopy (NIRS) data analysis for a rapid and simultaneous prediction of feed nutritive parameters.” LINK




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

“Identification of human brown/beige adipose tissue using near-infrared time-resolved spectroscopy” LINK

“Visible near infrared reflectance molecular chemical imaging of human ex vivo carcinomas and murine in vivo carcinomas” LINK

“Data analysis on near infrared spectroscopy as a part of technology adoption for cocoa farmer in Aceh Province, Indonesia.” LINK

“Sensor Development for Soil-Property Detection Using Near Infrared Spectroscopy” LINK

“Classifying maize kernels naturally infected by fungi using near-infrared hyperspectral imaging” LINK

“Estimating Soil Arsenic Content with Visible and Near-Infrared Hyperspectral Reflectance” LINK




Hyperspectral Imaging (HSI)

“Novel Deep-Learning-Based Spatial-Spectral Feature Extraction For Hyperspectral Remote Sensing Applications” LINK

“Estimation of grapevine predawn leaf water potential based on hyperspectral reflectance data in Douro wine region” LINK




Chemometrics and Machine Learning

“Classification Modeling Method for Near-Infrared Spectroscopy of Tobacco Based on Multimodal Convolution Neural Networks.” LINK

“Analysis of the Influence of Substrate Formulations on the Bioactive Chemical Profile of Lingzhi or Reishi Medicinal Mushroom, Ganoderma lucidum (Agaricomycetes) by Conventional and Chemometrics Methods.” LINK

“Use of precision farming practices and crop modelling for enhancing water and phosphorus efficiency” LINK

“A chemometric strategy to evaluate the comparability of PLS models obtained from quartz cuvettes and disposable glass vials in the determination of extra virgin olive …” LINK




Research on Spectroscopy

Classical Least Squares Method for Quantitative Spectral Analysis with Python LINK

“Method for Quantitative Broadband Diffuse Optical Spectroscopy of Tumor-Like Inclusions” LINK




Process Control and NIR Sensors

“Monitoring composting process of olive oil solid waste using FT-NIR spectroscopy” LINK

“Monitoring of CO2 Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry.” LINK




Agriculture NIR-Spectroscopy Usage

“Development of sugarcane and trash identification system in sugar production using hyperspectral imaging” LINK

“Smart Agriculture: The Age of Drones in Agriculture” LINK

“Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data” LINK

“Hyperspectral imaging in assessing the condition of plants: strengths and weaknesses” LINK

“Detection and identification of fungal growth on freeze-dried Agaricus bisporus using spectrum and olfactory sensor.” LINK

“Effect of strain and nutritional density of the diet on the water-protein ratio, fat and collagen levels in the breast and legs of broilers slaughtered at different …” LINK

“Detecting Bruise Damage and Level of Severity IN APPLES USING A CONTACTLESS NIR SPECTROMETER” LINK

“Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images” LINK

“Non-destructive estimation of winter wheat leaf moisture content using near-ground hyperspectral imaging technology” LINK




Food & Feed and Beverage Industry NIR Usage

“Chemometric tools for food fraud detection: the role of target class in non-targeted analysis” LINK

“Utilization of text mining as a big data analysis tool for food science and nutrition” LINK





NIR Instruments

The NIR-Analysis (NIRA) also known as Near Infrared Reflectance (NIRS-Analysis) or NIR Transmission (NIT-Analysis) uses so called NIR-Spectrometer (see also NIR-Spectroscopy, NIR Spectrometry).


The supported NIR-instruments, NIR-analysers, NIR-sensors and NIR-spectrometer (near-infrared spectroscopy) are full range NIR (780-2500 [nm] or 12’820-4’000 [1/cm]) from any manufacturer and technology and also Short Wave InfraRed (SWIR) (900-1700 [nm]), that is typically used in Hyperspectral Imaging (HSI) or VIS-NIR (400-2500 [nm]) or UV-VIS-NIR (200-2500 [nm]). Definitions by IUPAC


The supported NIR-technology can be Fourier transform (FT-NIR), dispersive NIR (DLP, MEMS), NIR-diode-array, Acousto-optic tunable filter (AOTF, AOTFNIR), etc. (on-line, in-line or at-line)



Time-saving Calibration Support for all NIRS

New : NIR-Predictor Software for all NIR spectrometers! Analyze your samples.


Start Calibrate


Example overview list of NIR-spectrometer manufacturers / vendors / brands / supplier (we DO NOT SELL instruments) :



New : NIR-Predictor Software for all NIR spectrometers! Analyze your samples.


Start Calibrate


Example overview list of Miniature Near-Infrared (NIR) Spectrometer Engine (spectral sensor) manufacturers / vendors / brands (we DO NOT SELL instruments) :

Disclaimer: We have no affiliation with any of these sites or their companies.
All trademarks belong to their respective owners and are used for information only.
We DO NOT SELL instruments.