Spectroscopy and Chemometrics News Weekly #13, 2021

NIR Calibration-Model Services

NIRS Analytical Laboratory Method Development : Reduce Workload and Response Time | MethodDevelopment modeling LINK

Spectroscopy and Chemometrics News Weekly 12, 2021 | NIRS NIR Spectroscopy MachineLearning Spectrometer Application Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Service Software 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)

“Differentiation between Fresh and Thawed Cephalopods Using NIR Spectroscopy and Multivariate Data Analysis. Foods 2021, 10, 528” LINK

“Ethanol-soluble carbohydrates of cool-season grasses: prediction of concentration by near-infrared reflectance spectroscopy (NIRS) and evaluation of effects of …” LINK

“An Evaluation of Different NIR-Spectral Pre-Treatments to Derive the Soil Parameters C and N of a Humus-Clay-Rich Soil” LINK

“Prediction of Physicochemical Properties in Honeys with Portable Near-Infrared (microNIR) Spectroscopy Combined with Multivariate Data Processing” LINK

“Comparison between single and mixed-species NIRS databases’ accuracy of dairy fiber feed value detection” LINK

“Using autoencoders to compress soil VNIR–SWIR spectra for more robust prediction of soil properties” LINK

“Prediction of some quality properties of rice and its flour by near-infrared spectroscopy (NIRS) analysis.” ricequality Amylose viscosity LINK

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

“Nitrogen Management Based on Visible/Near Infrared Spectroscopy in Pear Orchards” Remote Sensing LINK

“Applications of near infrared spectroscopy for fish and fish products quality: a review” LINK

“Near Infrared Spectroscopy as a PAT Tool for Monitoring and Control of Protein and Excipient Concentration in Ultrafiltration of Highly Concentrated Antibody Formulations” LINK

“Determination of soluble solid content in market tomatoes using Near-infrared Spectroscopy” LINK

“Discriminating Coalho cheese by origin through near and middle infrared spectroscopy and analytical measures” LINK

“Current and future research directions in computer-aided near-infrared spectroscopy: A perspective” LINK

“Estimation of the Relative Abundance of Quartz to Clay Minerals Using the Visible–Near-Infrared–Shortwave- Infrared Spectral Region” LINK

“Estimating the Lactate Threshold Using Wireless Near-Infrared Spectroscopy and Threshold Detection Analyses” LINK

“Smart SelfAssembly Amphiphilic CyclopeptideDye for NearInfrared WindowII Imaging” LINK

“Application of Long-Wave Near Infrared Hyperspectral Imaging for Determination of Moisture Content of Single Maize Seed” LINK

“Near Infrared Spectroscopy as a PAT Tool for Monitoring and Control of Protein and Excipient Concentration in Ultrafiltration of Highly Concentrated Antibody …” LINK

” Achieving the potential multifunctional near-infrared materials Ca 3 In 2− x Ga x Ge 3 O 12: Cr 3+ using a solid state method” LINK

“ATR-FTIR Microspectroscopy Brings a Novel Insight Into the Study of Cell Wall Chemistry at the Cellular Level” LINK

“Development and performance tests of an on-the-go detector of soil total nitrogen concentration based on near-infrared spectroscopy” LINK

“Mid-Infrared Scattering in -Al2O3 Catalytic Powders” LINK

“Rapid tannin profiling of tree fodders using untargeted mid-infrared spectroscopy and partial least squares regression” LINK

“Intelligent evaluation of taste constituents and polyphenols-to-amino acids ratio in matcha tea powder using near infrared spectroscopy” LINK

Raman Spectroscopy

“In vivo diagnosis of skin cancer with a portable Raman spectroscopic device” LINK

Hyperspectral Imaging (HSI)

” A chemometric view of hyperspectral images” LINK

Chemometrics and Machine Learning

” A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in …” LINK

“Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking” LINK

“Prediction of Tea Theanine Content using Near-Infrared Spectroscopy and Flower Pollination Algorithm” LINK

“Predicting Oil Content In Ripe Macaw Fruits (Acrocomia Aculeata) From Unripe Ones By Near Infrared Spectroscopy And Pls Regression” LINK

“A Model Based on Clusters of Similar Color and NIR to Estimate Oil Content of Single Olives” LINK

“Quick Determination and Discrimination of Commercial Hand Sanitisers Using Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy and Chemometrics” LINK

“A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit” LINK

“Comparative study between Partial Least Squares and Rational function Ridge Regression models for the prediction of moisture content of woodchip samples using a handheld spectrophotometer” LINK

“Classification of Lingwu long jujube internal bruise over time based on visible near-infrared hyperspectral imaging combined with partial least squares-discriminant …” LINK

“Nondestructive qualitative and quantitative analysis of Yaobitong capsule using near-infrared spectroscopy in tandem with chemometrics” LINK

“Near infrared reflectance spectroscopy: classification and rapid prediction of patchouli oil content” LINK

“Chemometric classification of geothermal and non-geothermal ethanol leaf extract of seurapoh (Chromolaena odorata Linn) using infrared spectroscopy” LINK

Process Control and NIR Sensors

“In-Line Technologies for the Analysis of Important Milk Parameters during the Milking Process: A Review” LINK

Environment NIR-Spectroscopy Application

“Remote Sensing, Vol. 13, Pages 1105: Water Conservation Estimation Based on Time Series NDVI in the Yellow River Basin” LINK

“A novel framework to estimate soil mineralogy using soil spectroscopy” LINK

Agriculture NIR-Spectroscopy Usage

“Pentosan polysulfate maculopathy: Prevalence, spectrum of disease, and choroidal imaging analysis based on prospective screening: Pentosan maculopathy: disease spectrum & choroidal analysis” LINK

“An Alternative Approach to Evaluate the Quality of Protein-Based Raw Materials for Dry Pet Food. Animals 2021, 11, 458” LINK

“The use of NIR sensor technology for soil test-based decision making in agriculture” LINK

“Estimation of Starch Hydrolysis in Sweet Potato (Beni haruka) Based on Storage Period Using Nondestructive Near-Infrared Spectrometry. Agriculture 2021, 11, 135” LINK

“Handheld vs. Benchtop NearInfrared Spectrometers – How Do They Compare for Analyzing Forage Nutritive Value?” LINK

“Foods, Vol. 10, Pages 612: Preliminary Insights in Sensory Profile of Sweet Cherries” LINK

“Comparing CalReg performance with other multivariate methods for estimating selected soil properties from Moroccan agricultural regions using NIR spectroscopy” LINK

“Potential of Multivariate Statistical Technique Based on the Effective Spectra Bands to Estimate the Plant Water Content of Wheat Under Different Irrigation Regimes” LINK

“Agriculture, Vol. 11, Pages 239: In-Line Technologies for the Analysis of Important Milk Parameters during the Milking Process: A Review” LINK

“Foods, Vol. 10, Pages 496: Fatty Acid Composition from Olive Oils of Portuguese Centenarian Trees Is Highly Dependent on Olive Cultivar and Crop Year” LINK

“Automated in-field leaf-level hyperspectral imaging of corn plants using a Cartesian robotic platform” LINK

“A novel compact intrinsic safety full range Methane microprobe sensor using “trans-world” processing method based on near- infrared spectroscopy” LINK

“Organic carbon in agricultural and agroforestry soils: Effect of different management practices” LINK

“Machine Learning-Based Approach to Predict Insect-Herbivory-Damage and Insect-Type Attack in Maize Plants Using Hyperspectral Data” LINK

” Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment” LINK

Forestry and Wood Industry NIR Usage

“Chemometric development using portable molecular vibrational spectrometers for rapid evaluation of AVC (Valsa mali Miyabe et Yamada) infection of apple trees” LINK

Food & Feed Industry NIR Usage

“Quantitative Analysis of Colony Number in Mouldy Wheat based on Near Infrared Spectroscopy combined with Colorimetric Sensor” LINK

Pharma Industry NIR Usage

” Integration of transcriptomes analysis with spectral signature of total RNA for generation of affordable remote sensing of Hepatocellular carcinoma in serum …” LINK

Laboratory and NIR-Spectroscopy

” Prediction of meat quality traits in the abattoir using portable near-infrared spectrometers: heritability of predicted traits and genetic correlations with laboratory …” LINK


“Ultrasonic-assisted catalytic transfer hydrogenation for upgrading pyrolysis-oil” LINK

“Quantitation of volatile aldehydes using chemoselective response dyes combined with multivariable data analysis” LINK

“Evaluation and optimization on the reflection and durability of reflective coatings for cool pavement” LINK

“Polyvinyl chloride: chemical modification and investigation of structural and thermal properties” LINK


Spectroscopy and Chemometrics News Weekly #4, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 3, 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 3, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 3, 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)

“Transcutaneous Near Infra-Red Spectroscopy (NIRS) for monitoring paediatric renal allograft perfusion” LINK

“Multivariate calibration: Identification of phenolic compounds in PROPOLIS using FTNIR” LINK

“Feasibility study of detecting palm oil adulteration with recycled cooking oil using a handheld NIR spectroscopy” LINK


“A Systematic and Consistent Assay for High-throughput Characterization of Stalk Quality in Sugarcane by Near-infrared Spectroscopy” LINK

“Ultraviolet-visible/near infrared spectroscopy and hyperspectral imaging to study the different types of raw cotton” LINK

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

“Rapid qualitative identification and quantitative analysis of Flos Mume based on fourier transform near infrared spectroscopy” LINK

” Distinction of surgically resected gastrointestinal stromal tumor by near-infrared hyperspectral imaging” LINK

” Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure” LINK

“Utilizing near infrared hyperspectral imaging for quantitatively predicting adulteration in tapioca starch” LINK

“Near-infrared hyperspectral imaging for detection and visualization of offal adulteration in ground pork” LINK

“Comparative study of degradation between the carbon black back coat layer and magnetic layer in magnetic audio tapes using attenuated total reflectance Fourier transform infrared spectroscopy and machine learning techniques” LINK

Hyperspectral Imaging (HSI)

“Near-infrared hyperspectral imaging (NIR-HSI) and normalized difference image (NDI) data processing: an advanced method to map collagen in archaeological …” LINK

“Effect of curvature on hyperspectral reflectance images of cereal seed-sized objects” LINK

” Application of hyperspectral imaging to detect toxigenic Fusarium infection on cornmeal” LINK

Chemometrics and Machine Learning

“Determination of Conformational Changes of Polyphenol Oxidase and Peroxidase in Peach Juice during Mild Heat Treatment Using FTIR Spectroscopy Coupled with Chemometrics” LINK

“Model-Based Pre-Processing in Vibrational Spectroscopy” LINK

“Challenging handheld NIR spectrometers with moisture analysis in plant matrices: performance of PLSR vs. GPR vs. ANN modelling” LINK

“Maturity determination of single maize seed by using near-infrared hyperspectral imaging coupled with comparative analysis of multiple classification models” LINK

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

“Machine Learning-Based Presymptomatic Detection of Rice Sheath Blight Using Spectral Profiles.” LINK

Equipment for Spectroscopy

“Green analytical assay for the quality assessment of tea by using pocket-sized NIR spectrometer.” Caffeine Catechins Theanine LINK

Process Control and NIR Sensors

” Impact of Processing and Extraction on the Minor Components of Green Spanish-Style Gordal Table Olive Fat, as Assessed by Innovative Approaches” LINK

Environment NIR-Spectroscopy Application

“National-scale spectroscopic assessment of soil organic carbon in forests of the Czech Republic” LINK

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

Agriculture NIR-Spectroscopy Usage

” Evaluation of the physicochemical content and solid-state fermentation stage of Zhenjiang aromatic vinegar using near-infrared spectroscopy” LINK

“Non-invasive spectroscopic and imaging systems for prediction of beef quality in a meat processing pilot plant” LINK

“Compositional Analyses Reveal Relationships among Components of Blue Maize Grains” LINK

“Rapid Detection of the Quality of Miso (Japanese Fermented Soybean Paste) Using Visible/Near-Infrared Spectroscopy” LINK

Horticulture NIR-Spectroscopy Applications

“Optical Absorption and Scattering Properties at 900-1650 nm and Their Relationships with Soluble Solid Content and Soluble Sugars in Apple Flesh during Storage” LINK

Food & Feed Industry NIR Usage

“Feasibility of fraud detection in rice using a handheld near-infrared spectroscopy” LINK

“Feasibility of fraud detection in milk powder using a handheld near-infrared spectroscopy” LINK

“Wild barley, a resource to optimize yield stability and quality of elite barley: kumulative Dissertation” LINK

” Assessment of the vigor of rice seeds by near-infrared hyperspectral imaging combined with transfer learning” LINK

Laboratory and NIR-Spectroscopy

” Identification of peat type and humification by laboratory VNIR/SWIR hyperspectral imaging of peat profiles with focus on fen-bog transition in aapa mires” LINK

Spectroscopy and Chemometrics News Weekly #2, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 1, 2021 | 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)

“Early Diagnosis of Type 2 Diabetes Based on Near-Infrared Spectroscopy Combined With Machine Learning and Aquaphotomics” | LINK

“Measurement of patterns of soil organic matter in the Mediterranean Montado ecosystem using NIRS” LINK

“Nondestructive analysis for maturity of pineapple using Vis/NIR transmittance spectroscopy” LINK

“Shelf life estimation and kinetic degradation modeling of chia seeds (Salvia hispanica) using principal component analysis based on NIR-hyperspectral imaging” LINK

“Comparison of a dual-laser and a Vis-NIR spectroscopy system for detection of chilling injury in kiwifruit” LINK

“Nondestructive identification of pesticide residues on the Hami melon surface using deep feature fusion by Vis/NIR spectroscopy and 1D‐CNN” LINK

“An in-depth study of cheese ripening by means of NIR hyperspectral imaging: Spatial mapping of dehydration, proteolysis and lipolysis.” LINK

“NIR Spectroscopy for Discriminating and Predicting the Sensory Profile of Dry-Cured Beef “Cecina”.” LINK

“NIRS Estimation of Drought Stress on Chemical Quality Constituents of Taro (Colocasia esculenta L.) and Sweet Potato (Ipomoea batatas L.) Flours” LINK

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

“Near infrared spectroscopy coupled to MCR-ALS for the identification and quantification of saffron adulterants: application to complex mixtures” LINK

“Estimation of density, moisture content and strength properties of Tectona grandis wood using near infrared spectroscopy” LINK

“Near infrared spectral fingerprinting: a tool against origin-related fraud in the sector of processed anchovies” LINK

“Long term performance of near infrared spectroscopy to predict intramuscular fat content in New Zealand lamb” LINK

“A Study on the Quantitative Viscosity Detection of Automobile Lubricating Oils Based on Near-infrared Spectroscopy” LINK

“Novel Similarity Methods Evaluation and Feasible Application for Pharmaceutical Raw Material Identification with Near-Infrared Spectroscopy.” LINK

“Rapid and simultaneous quality analysis of the three active components in Lonicerae Japonicae Flos by near-infrared spectroscopy.” LINK

Hyperspectral Imaging (HSI)

“Hyperspectral Imaging System for Online Sorting of Adulterated Almond Nuts” LINK

Chemometrics and Machine Learning

“Non-Destructive Prediction of Titratable Acidity and Taste Index Properties of Gala Apple Using Combination of Different Hybrids ANN and PLSR-Model Based Spectral Data” LINK

“Classification model using subset feature based on a genetic algorithm of VNIR hyperspectral imaging data for organic residuals” LINK

“Rapid determination of lignocellulose in corn stover based on near-infrared reflectance spectroscopy and chemometrics methods” LINK

“Applying chemometric procedures for correlation the FTIR spectroscopy with the new thermometric evaluation of Total Acid Number and Total Basic Number in engine oils” LINK

“Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes-A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR.” LINK

“Nanoscale Infrared Spectroscopy and Chemometrics Enable Detection of Intracellular Protein Distribution” LINK

Optics for Spectroscopy

“QCM Sensor Arrays, Electroanalytical Techniques and NIR Spectroscopy Coupled to Multivariate Analysis for Quality Assessment of Food Products, Raw Materials, Ingredients and Foodborne Pathogen Detection: Challenges and Breakthroughs” LINK

Equipment for Spectroscopy

“Polymer Type Identification of Marine Plastic Litter Using a Miniature Near-Infrared Spectrometer (MicroNIR)” LINK

Agriculture NIR-Spectroscopy Usage

“Estimation of dry matter, crude protein and starch values in mixed feeds by near-infrared reflectance (NIR) spectroscopy” LINK

“Online detection of naturally DON contaminated wheat grains from China using Vis-NIR spectroscopy and computer vision” LINK

“Qualitative identification of edible oil storage period using a homemade portable electronic nose combined with multivariate analysis” LINK

“Quantitative analysis of soybean protein content by terahertz spectroscopy and chemometrics” LINK

Horticulture NIR-Spectroscopy Applications

“Purity Detection for Seedless Watermelon Seeds using Near Infrared Hyperspectral Imaging Spectroscopy” LINK

“Recent Advances of Near Infrared Applications in Fruits and Byproducts” LINK


“Tackling quantitative polymorphic analysis through fixed-dose combination tablets production. Pyrazinamide polymorphic assessment” LINK

“Variation in the Phenolic Composition of Cork Stoppers from Different Geographical Origins.” 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 #48, 2020

NIR Calibration-Model Services

Do you use Molecular Spectroscopy with Multivariate Regression Models? That will save you development time LINK

Using cost saving NIR-Spectroscopy Analysis? You can Save even more Costs and Time! How? Read here | VIS NIR NIRS Spectroscopy LabManager Analysis Labs QualityControl CostSaving foodindustry foodproduct Spectrometer Sensor Analytics IoT LINK

Spectroscopy and Chemometrics News Weekly 47, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

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

Near-Infrared Spectroscopy (NIRS)

“Influence of forage particle size and residual moisture on near infrared reflectance spectroscopy (NIRS) calibration accuracy for macro-mineral determination” LINK

“Rapid detection of adulteration in Dendrobium Huoshanense using NIR spectroscopy coupled with chemometric methods” LINK

“Using near-infrared spectroscopy to discriminate closely related species: A case study of neotropical ferns” LINK

“Temperature-dependent, VIS-NIR reflectance spectroscopy of sodium sulfates” LINK

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

“Using near-infrared spectroscopy to determine intramuscular fat and fatty acids of beef applying different prediction approach.” LINK

“Estimating the sensory qualities of tomatoes using visible and near-infrared spectroscopy and interpretation based on gas chromatography–mass …” LINK

“Near Infrared Spectroscopy-Based Evaluation of Patellar Tendon and Knee Ligaments” LINK

“Predictive capacity of some wood properties by near-infrared spectroscopy” LINK

“Predicting Marian Plum Fruit Quality without Environmental Condition Impact by Handheld Visible–Near-Infrared Spectroscopy” LINK

“Near infrared reflectance spectroscopy to quantify Perkinsus marinus infecting Crassostrea virginica” LINK

“Application of genetic algorithm and multivariate methods in detection and measurement of milk‐surfactant adulteration by attenuated total reflection and near‐infrared spectroscopy” LINK

“Classifying Thermal Degradation of Polylactic Acid by Using Machine Learning Algorithms Trained on Fourier Transform Infrared Spectroscopy Data” LINK

“Classification Option for Korean Traditional Paper Based on Type of Raw Materials, Using Near-infrared Spectroscopy and Multivariate Statistical Methods” LINK

“Rapid and simultaneous quality analysis of the three active components in Lonicerae Japonicae Flos by near-infrared spectroscopy” LINK

“Determination of Adenosine and Cordycepin Concentrations in Cordyceps militaris Fruiting Bodies Using Near-Infrared Spectroscopy” LINK

“Application of near-infrared hyperspectral imaging for variety identification of coated maize kernels with deep learning” LINK

Hyperspectral Imaging (HSI)

Konica Minolta to acquire Specim, the leading global supplier of hyperspectral imaging.   “Konica Minolta shares our vision and values and will greatly support our business through improved sell-through,” said Tapio Kallonen, CEO of Specim LINK

“Research on Citrus grandis Granulation Determination Based on Hyperspectral Imaging through Deep Learning” LINK

Wavelength Selection Method Based on Partial Least Square from Hyperspectral Unmanned Aerial Vehicle Orthomosaic of Irrigated Olive Orchards” LINK

Chemometrics and Machine Learning

“Fractional order modeling and recognition of nitrogen content level of rubber tree foliage” LINK

“Development of multi-product calibration models of various root and tuber powders by fourier transform near infra-red (FT-NIR) spectroscopy for the quantification of …” LINK

“Detection and Quantification of Tomato Paste Adulteration Using Conventional and Rapid Analytical Methods” LINK

“Prediction of Acidity Level of Avomango (Gadung Klonal 21) Using Local Polynomial Estimator” LINK

“A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra” LINK

“Spectrometric Classification of Bamboo Shoot Species by Comparison of Different Machine Learning Methods” LINK

Supporting the Sensory Panel to Grade Virgin Olive Oils: An In-House-Validated Screening Tool by Volatile Fingerprinting and Chemometrics” LINK

Process Control and NIR Sensors

“A Process Analytical Concept for In-Line FTIR Monitoring of Polysiloxane Formation” Polymers LINK

Agriculture NIR-Spectroscopy Usage

“Vis–NIR spectroscopy: from leaf dry mass production estimate to the prediction of macro-and micronutrients in soybean crops” LINK

“Comparison of benchtop and handheld near‐infrared spectroscopy devices to determine forage nutritive value” LINK

Food & Feed Industry NIR Usage

“Rapid Authentication of 100% Italian Durum Wheat Pasta by FT-NIR Spectroscopy Combined with Chemometric Tools” LINK

“Identification of Corn Seeds with Different Freezing Damage Degree Based on Hyperspectral Reflectance Imaging and Deep Learning Method” LINK

“Near-and mid-infrared determination of some quality parameters of cheese manufactured from the mixture of different milk species” LINK

“Portable NIR spectrometer for quick identification of fat bloom in chocolates.” LINK

Laboratory and NIR-Spectroscopy

“A Novel Spectral Matching Approach for Pigment: Spectral Subsection Identification Considering Ion Absorption Characteristics” LINK


“Development of a novel quantitative function between spectral value and metmyoglobin content in Tan mutton” LINK

” 基于稀疏网络的可见光/近红外反射光谱土壤有机质含量估算” LINK

“基于可见-近红外光谱的茄子叶绿素荧光参数 Fv/Fm 预测方法” LINK

“A Miniaturized and Fast System for Thin Film Thickness Measurement” LINK

“Molecular spectroscopy with optical frequency combs” LINK