Spectroscopy and Chemometrics/Machine-Learning News Weekly #27, 2022

NIR Calibration-Model Services

Best out of 100’000 Calibrations of your NIR Data, can you compete in speed and performance? | Pharma Lab food Feed LINK

Services for professional Development of Near-Infrared Spectroscopy Calibration Methods | NIRS QA QC testing food LINK

Spectroscopy and Chemometrics News Weekly 26, 2022 | 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 26, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 26, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

Near-Infrared Spectroscopy (NIRS)

“Simulation of an Algorithm for Space Target Materials Identification Based on vis-NIR Hyperspectral Data” LINK

“Near-Infrared Sensitive Nanoparticle Mediated Photothermal Ablation of Ventricular Myocardium” LINK

“Advances in NIR Spectroscopy Analytical Technology in Food Industries” | LINK

“Machine Learning Approach for Classifying College Scholastic Ability Test Levels with Unsupervised Features from Prefrontal Functional Near-Infrared Spectroscopy …” LINK

“Determination of the Soluble Solids Content in Korla Fragrant Pears Based on Visible and Near-Infrared Spectroscopy Combined With Model Analysis and Variable Selection” LINK

“Non-destructive Evaluation of the Quality Characteristics of Pomegranate Kernel Oil by Fourier Transform Near-Infrared and Mid-Infrared Spectroscopy” LINK

“Evaluation of Vis-NIR preprocessing combined with PLS regression for estimation soil organic carbon, cation exchange capacity and clay from eastern Croatia” LINK

“Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry” LINK

“근적외선분광 (NIRS) 을 이용한 참깨의 lignan 함량 비파괴 분석 방법 확립” LINK

“Non-destructive measurement of antioxidant activity and water content in chili powder (Capsicum annuum L.) using near-infrared spectroscopy”LINK

“Design of an Integrated Near-Infrared Spectroscopy Module for Sugar Content Estimation of Apples” LINK

“A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid Strategy” | LINK

“Novel Application of NIR Spectroscopy for Non-Destructive Determination of ‘Maratina’ Wine Parameters” LINK

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

“Near-infrared spectroscopy for Non-destructive determination of Quality of fresh cut cucumber during shelf life” LINK

“Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy” LINK

Hyperspectral Imaging (HSI)

“Hyperspectral imaging technology coupled with human sensory information to evaluate the fermentation degree of black tea” LINK

“Short-Wave Infrared Hyperspectral Imaging System for Nondestructive Evaluation of Powdered Food” | LINK

“Integrated smart hyperspectral imaging and CARS-based characteristic band selection for rapid determination of SO_2 content in sulphur-fumigated Achyranthis Bidentatae Radix” LINK

“Effect of germ orientation during Vis-NIR hyperspectral imaging for the detection of fungal contamination in maize kernel using PLS-DA, ANN and 1D-CNN modelling” LINK

Chemometrics and Machine Learning

“Development of a Soil Organic Matter Content Prediction Model Based on Supervised Learning Using Vis-NIR/SWIR Spectroscopy” LINK

“Slice spectra approach to synchronous Two-dimensional correlation spectroscopy analysis for milk adulteration discriminate” LINK

“Validação prática de modelos de infravermelho próximo para tomate: sólidos solúveis e acidez” LINK

“Performance evaluation of variable selection methods coupled with partial least squares regression to determine the target component in solid samples” LINK


“Flipped detection of psychoactive substances in complex mixtures using handheld Raman spectroscopy coupled to chemometrics” LINK

“Agriculture : Calibration Spiking of MIR-DRIFTS Soil Spectra for Carbon Predictions Using PLSR Extensions and Log-Ratio Transformations” LINK

“波长漂移对近红外光谱 PLSR 分析模型的影响” LINK

“Diffuse Reflection Infrared Fourier Transform Spectroscopy and Partial Least Squares Regression Analysis for Temperature Prediction of Irreversible Thermochromic Paints” LINK

Optics for Spectroscopy

“Photonics : Ultra-Sensitive Si-Based Optical Sensor for Nanoparticle-Size Traditional Water Pollutant Detection” LINK

Research on Spectroscopy

“Diet quality, liveweight change and responses to N supplements by cattle grazing Astrebla spp.(Mitchell grass) pastures in the semi-arid tropics in northwest …” LINK

Equipment for Spectroscopy

“Polymers : Recovery of Waste Material from Biobags: 3D Printing Process and Thermo-Mechanical Characteristics in Comparison to Virgin and Composite Matrices” 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

Agriculture NIR-Spectroscopy Usage

“Effect of Phosphorus deficiency on chlorophyll a fluorescence and visible near-infrared reflectance of wheat plants (Triticum aestivum L.) grown in hydroponic …” LINK

“Sensors : NIR Instruments and Prediction Methods for Rapid Access to Grain Protein Content in Multiple Cereals” LINK

“Utilizing Hyper-Spectral No-Image Measurement to Assess the Development of disease severity of Cercospora Leaf Spot disease in sugar beet canopy” LINK

Horticulture NIR-Spectroscopy Applications

“Forests : Quality Analysis and Comprehensive Evaluation of Fruits from Different Cultivars of Pecan (Carya illinoinensis (Wangenheim) K. Koch)” LINK

Food & Feed Industry NIR Usage

“Foods : Date, Apple, and Pear By-Products as Functional Ingredients in Pasta: Cooking Quality Attributes and Physicochemical, Rheological, and Sensorial Properties” LINK

Laboratory and NIR-Spectroscopy

“Absolute radiometric calibration of an imaging spectroradiometer using a laboratory detector-based approach” LINK


“Increased multimorbidity is associated with impaired cerebral and peripheral hemodynamic stabilization during active standing” LINK

“Synthesis of N-Doped ZnO Nanocomposites for Sunlight Photocatalytic Degradation of Textile Dye Pollutants” LINK

“Symmetry : Asymmetric Prefrontal Cortex Activation Associated with Mutual Gaze of Mothers and Children during Shared Play” LINK

“Coatings : Evaluation on Thermal Protection Performance of TiO2 Coated Aramid Nonwoven” LINK

“土壤水分去除算法的田间原位光谱反演棉田有机质” LINK

“近红外光谱技术用于银杏叶色谱分离过程多种内酯成分含量预测” LINK

“近红外光谱技术在微生物检测中的应用进展” LINK

“식품 산업에서의 근적외선 분광법을 이용한 비파괴 분석법 동향” LINK

“Applied Sciences : On the Absorption and Photoluminescence Properties of Pure ZnSe and Co-Doped ZnSe:Eu3+/Yb3+ Crystals” LINK

This is a mathematics joke. LINK

Table of organic compounds & their smells.LINK

“A Comparative Investigation of Chemically Reduced Graphene Oxide Thin Films Deposited via Spray Pyrolysis” | LINK

Spectroscopy and Chemometrics/Machine-Learning News Weekly #24, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 23, 2022 | 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)

“Real-Time Defect Inspection of Green Coffee Beans Using NIR Snapshot Hyperspectral Imaging” LINK

“Country of origin label monitoring of musky and common octopuses (Eledone spp. and Octopus vulgaris) by means of a portable near-infrared spectroscopic device” LINK

“Fruit variability impacts puree quality: assessment on individually processed apples using the visible and near infrared spectroscopy” LINK

“Visible-NIR Spectral Characteristics and Grade Inversion Model of Skarn-type Iron Ore” LINK

“Digital Detection of Olive Oil Rancidity Levels and Aroma Profiles Using Near-Infrared Spectroscopy, a Low-Cost Electronic Nose and Machine Learning Modelling” LINK

“Qualitative classification of Dendrobium huoshanense (Feng dou) using fast non-destructive hand-held near infrared spectroscopy” LINK

“A stacked regression ensemble approach for the quantitative determination of biomass feedstock compositions using near infrared spectroscopy” LINK


“Near-Infrared Transflectance Spectroscopy Discriminates Solutions Containing Two Commercial Formulations of Botulinum Toxin Type A Diluted at Recommended …” LINK

“… of the column chromatographic process of Phellodendri Chinensis Cortex Part I: End-point determination based on near-infrared spectroscopy combined with machine …” | LINK

“NIR-Based Intelligent Sensing of Product Yield Stress for High-Value Bioresorbable Polymer Processing” LINK

“Measurement of water-holding capacity in fermented milk using near-infrared spectroscopy combined with chemometric methods” LINK

“Fighting Fake Medicines” by | fake medicines pills falsified medicines fakemedicines fakedrugs fakepills illicit drugs digitaltechnology NIRS LINK

“Quantitative assessment of wheat quality using near-infrared spectroscopy: A comprehensive review” | LINK

“Rapid detection of adulteration of glutinous rice as raw material of Shaoxing Huangjiu (Chinese Rice Wine) by near infrared spectroscopy combined with chemometrics” LINK

“On-site illicit-drug detection with an integrated near-infrared spectral sensor: A proof of concept” LINK

“Effects of degraded speech processing and binaural unmasking investigated using functional near-infrared spectroscopy (fNIRS)” | LINK

“Qualitative analysis of post-consumer and post-industrial waste via near-infrared, visual and induction identification with experimental sensor-based sorting setup” | LINK

“Blended fabric with integrated neural network based on attention mechanism qualitative identification method of near infrared spectroscopy” LINK

“Deep learning-based motion artifact removal in functional near-infrared spectroscopy” | LINK

“Rapid identification of the geographic origin of Taiping Houkui green tea using near-infrared spectroscopy combined with a variable selection method” LINK

“Rapid Nondestructive Detection Enabled by an UltraBroadband NIR pcLED” LINK

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

“Determination of Dangshan Pear Pollen Vitality Using Near-Infrared Spectroscopy” LINK

“Green tea grades identification via Fourier transform nearinfrared spectroscopy and weighted global fuzzy uncorrelated discriminant transform” LINK

“Physicochemical Properties and Detection of Glucose Syrup Adulterated Kelulut (Heterotrigona Itama) Honey Using Near‐Infrared Spectroscopy” LINK

“Reorganization of prefrontal network in stroke patients with dyskinesias: evidence from restingstate functional nearinfrared spectroscopy” LINK

“Oral lichen planus identification by mid-infrared spectroscopy of oral biofluids: a case-control study” LINK

Hyperspectral Imaging (HSI)

“Plant Species Classification Based on Hyperspectral Imaging via a Lightweight Convolutional Neural Network Model” | LINK

“Sensors : Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors” LINK

“Prediction of peanut seed vigor based on hyperspectral images” LINK

“Agriculture : Green Banana Maturity Classification and Quality Evaluation Using Hyperspectral Imaging” LINK

“Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features” | LINK

Chemometrics and Machine Learning

“Modeling Method and Miniaturized Wavelength Strategy for Near-infrared Spectroscopic Discriminant Analysis of Soy Sauce Brand Identification” LINK

“Improvement of NIR Prediction Ability by Dual Model Optimization in Fusion of NSIA and SA Methods” LINK

“Development of a calibration model for near infrared spectroscopy using a convolutional neural network” LINK

“Foods : Rapid Detection of Carbendazim Residue in Apple Using Surface-Enhanced Raman Scattering and Coupled Chemometric Algorithm” LINK

“Biosensors : Benchmarking Spectroscopic Techniques Combined with Machine Learning to Study Oak Barrels for Wine Ageing” LINK

“Agronomy : Estimation of Winter Wheat Residue Coverage Based on GF-1 Imagery and Machine Learning Algorithm” LINK

“Construction and application of a qualitative and quantitative analysis system of three boscalid polymorphs based on solid-state analytical methods and chemometric tools” LINK

“Discrimination and source correspondence of black gel inks using Raman spectroscopy and chemometric analysis with UMAP and PLS-DA” LINK

Optics for Spectroscopy

“Recent Advances in Luminescent Downconversion: New Materials, Techniques, and Applications in Solar Cells” LINK


“Ordered structures in liquid water: Is cold water a genuine liquid?” LINK

Environment NIR-Spectroscopy Application

“Evaluation of Two Portable Hyperspectral-Sensor-Based Instruments to Predict Key Soil Properties in Canadian Soils” LINK

“Genetic dissection of seed characteristics in field pennycress via genome-wide association mapping studies” | LINK

“Remote Sensing : Retrieval of Chlorophyll-a Concentrations of Class II Water Bodies of Inland Lakes and Reservoirs Based on ZY1-02D Satellite Hyperspectral Data” LINK

“Boron Imidazolate FrameworkDerived Porous Carbon Nanospheres for DualMode BioimagingGuided Photothermal/Sonodynamic Synergistic Cancer Therapy” LINK

Agriculture NIR-Spectroscopy Usage

“Estimation of forage quality by near infrared reflectance spectroscopy in dallisgrass, Paspalum dilatatum, poir” LINK

“Performance of open-path lasers and Fourier transform infrared spectroscopic systems in agriculture emissions research” LINK

“Plants : Sucrose Synthase and Fructokinase Are Required for Proper Meristematic and Vascular Development” LINK

“Genetic variation for seed storage protein composition in rapeseed (Brassica napus) and development of nearinfrared reflectance spectroscopy calibration equations” LINK

“Synthesis, Characterization and Antibacterial Activity of Ag‐TiO2‐Fe Composite Thin Films” LINK

Horticulture NIR-Spectroscopy Applications

“Foods : Consensual Regression of Soluble Solids Content in Peach by Near Infrared Spectrocopy” LINK

Forestry and Wood Industry NIR Usage

“Molecules : Chemical Diversity and Potential Target Network of Woody Peony Flower Essential Oil from Eleven Representative Cultivars (Paeonia × suffruticosa Andr.)” LINK

Food & Feed Industry NIR Usage

“Discrimination of centre composition in panned chocolate goods using nearinfrared spectroscopy” LINK

“Response of N2O emissions to N fertilizer reduction combined with biochar application in a rain-fed winter wheat ecosystem” LINK

“Quantitative detection of talcum powder in wheat flour based on near-infrared spectroscopy and hybrid feature selection” LINK

“Foods : Characterization and Discrimination of Italian Olive (Olea europaea sativa) Cultivars by Production Area Using Different Analytical Methods Combined with Chemometric Analysis” LINK

Pharma Industry NIR Usage

“Detection of low numbers of bacterial cells in pharmaceutical drug product using Raman Spectroscopy and PLS-DA multivariate analysis” LINK


“On honey authentication and adulterant detection techniques” LINK

“Intensifying upconverted ultraviolet emission towards efficient reactive oxygen species generation” LINK

“Optical frequency comb Fourier transform cavity ring-down spectroscopy” LINK

“Novel Approaches and Cognitive Neuroscience Perspectives on False Memory and Deception” | LINK

“Investigation of structural and optical properties of lithium lead bismuth silicate glasses” | 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 #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


“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


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


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