Spectroscopy and Chemometrics/Machine-Learning News Weekly #37, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 36, 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 36, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 36, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

Why do we need to recalibrate the NIRS method on an ongoing basis? LINK




Near-Infrared Spectroscopy (NIRS)

“Analysis the Proportion of Cigarette Tobacco Formula by Near Infrared Spectroscopy with Pattern Recognition Method” LINK

” … Models for the Authentication of Analgesic Tablet Reference Medicine Using Differential Scanning Calorimetry and Visible-Near Infrared Spectroscopy” LINK

“Quality assessment of mānuka honeys using non-invasive Near InfraRed systems” LINK

“Quantification of Glucose, Sucrose and Fructose Concentrations in Black Tea Using Ft-Nir Spectroscopy” LINK

“Quantitative analysis of organic acids in potatoes using NIR spectroscopy with PLS and ANN methods” LINK




Hyperspectral Imaging (HSI)

“Foods : Evaluation of Mutton Adulteration under the Effect of Mutton Flavour Essence Using Hyperspectral Imaging Combined with Machine Learning and Sparrow Search Algorithm” LINK

“Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders” LINK

“Identification of maize seed varieties based on stacked sparse autoencoder and near‐infrared hyperspectral imaging technology” LINK




Chemometrics and Machine Learning

“Foods : Bluetooth-Connected Pocket Spectrometer and Chemometrics for Olive Oil Applications” LINK

“Post-harvest Handling of Mangoes: An Integrated Solution Using Machine Learning Approach” | LINK

“Sensors : Land Cover Classification from Very High-Resolution UAS Data for Flood Risk Mapping” LINK

“Sensors : Generic Chemometric Models for Metabolite Concentration Prediction Based on Raman Spectra” LINK

“Sensors : Predicting Concentrations of Mixed Sugar Solutions with a Combination of Resonant Plasmon-Enhanced SEIRA and Principal Component Analysis” LINK

“Simultaneous quantification of total flavonoids and phenolic content in raw peanut seeds via NIR spectroscopy coupled with integrated algorithms” LINK

“Online quantitative substrate, product, and cell concentration in citric acid fermentation using near-infrared spectroscopy combined with chemometrics” LINK




Research on Spectroscopy

“Sensors : A Method to Evaluate Spectral Analysis by Spectroscopy” LINK




Process Control and NIR Sensors

“Polymers : Chemical, Physical, and Mechanical Properties of Belangke Bamboo (Gigantochloa pruriens) and Its Application as a Reinforcing Material in Particleboard Manufacturing” LINK

“Commercial scale transfer of a twin-screw melt granulation process for high drug load fevipiprant tablets” LINK




Environment NIR-Spectroscopy Application

“Chapter-7 Application of Diffuse Reflectance Spectroscopy (DRS) for Assessment of Various Soil Properties” LINK




Agriculture NIR-Spectroscopy Usage

“A Graph-Based Nonlinear Dynamic Characterization of Motor Imagery Toward an Enhanced Hybrid BCI” | LINK

“Animals : The Influence of Rotational Length, along with Pre- and Post-Grazing Measures on Nutritional Composition of Pasture during Winter and Spring on New Zealand Dairy Farms” LINK

“Hyperspectral imaging application to deoxynivalenol management in wheat” LINK




Laboratory and NIR-Spectroscopy

“Stories in the sediment: an analysis of phytoplankton pigments within lake sediment to predict and retrodict water quality in New Zealand lakes: a thesis presented in …” LINK




Other

“Brush-like Polyaniline with Optical and Electroactive Properties at Neutral pH and High Temperature” LINK

“Spectroscopic study of samarium (III) ion-doped sodium fluoro-borate glasses for visible laser applications” | LINK

“Valutazione della qualità di fave di cacao mediante spettroscopia nel vicino infrarosso, analisi chimiche e microbiologiche” LINK



Spectroscopy and Chemometrics / Machine Learning News Weekly #29, 2022

NIR Calibration-Model Services

How to Develop Near-Infrared Spectroscopy Calibrations in the 21st Century? | Chemometrics LINK

Spectroscopy and Chemometrics News Weekly 28, 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 28, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 28, 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)

“Rapid Determination of Cellulose and Hemicellulose Contents in Corn Stover Using Near-Infrared Spectroscopy Combined with Wavelength Selection” LINK

“A Rapid Recognition Method of Auricularia Auricula Varieties based on Near-Infrared Spectral Characteristics” LINK

“Study on robust model construction method of Multi-batch Fruit Online Sorting by near-infrared spectroscopy” LINK

“Foods : Effects of Orientations and Regions on Performance of Online Soluble Solids Content Prediction Models Based on Near-Infrared Spectroscopy for Peaches” LINK

“In Vivo Near-Infrared Noninvasive Glucose Measurement and Detection in Humans” LINK

“Monitoring freshness of crayfish (Prokaryophyllus clarkii) through the combination of near-infrared spectroscopy and chemometric method” | LINK

“Identification of Five Similar Cinnamomum Wood Species Using Portable Near-Infrared Spectroscopy” LINK

“Rapid determination of urea formaldehyde resin content in wood fiber mat using near-infrared spectroscopy” LINK

“Portable/Handheld NIR sebagai Teknologi Evaluasi Mutu Bahan Pertanian secara Non-Destruktif” LINK

“Detection of Chilling Injury Symptoms of Salak Pondoh Fruit during Cold Storage with Near Infrared Spectroscopy (NIRS)” LINK

“21st International Conference on Near Infrared Spectroscopy (NIR 2023)” LINK

“A First attempt to combine NIRS and plenoptic cameras for the assessment of grasslands functional diversity and species composition” LINK

“Establishment of NIRS Model for Oil Content in Single Seed of Oil Peony” LINK

“Vis-NIR 초분광 영상을 이용한 딸기 잿빛 곰팡이 감염 조기 검출” LINK

“Effect of Biochar on Desert Soil Wind Erosion Using Sweep Model and Vis-Nir Spectroscopy Technique” LINK

“Probing 1D convolutional neural network adapted to near-infrared spectroscopy for efficient classification of mixed fish” LINK

“Agronomic characterization of anaerobic digestates with near-infrared spectroscopy” LINK

“Rapid Detection of Green Sichuan Pepper Geographic Origin Based on Near-Infrared Spectroscopy” LINK

” Identification of multiple raisins by feature fusion combined with NIR spectroscopy” LINK

“Portable FT-NIR spectroscopic sensor for detection of chemical precursors of explosives using advanced prediction algorithms” | LINK

“Research on High-throughput Crop Authenticity Identification Method Based on Near-infrared Spectroscopy and InResSpectra model” LINK

“Differences between chemical analysis and portable near-infrared reflectance spectrometry in maize hybrids” LINK

“Organic resources from Madagascar: Dataset of chemical and near-infrared spectroscopy measurements” | LINK

“Establishment of a rapid detection model for the sensory quality and components of Yuezhou Longjing tea using near-infrared spectroscopy” LINK

“Breed authentication in Iberian pork meat analysed in situ using Near Infrared Spectroscopy” LINK

“Canopy VIS-NIR spectroscopy and self-learning artificial intelligence for a generalised model of predawn leaf water potential in Vitis vinifera” LINK




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

“Prediction of water relaxation time using near infrared spectroscopy” LINK

“Determination of ash content in silicon dioxide filled epoxy-phenolic prepreg using near infrared spectroscopy” LINK

“Online near-infrared spectroscopy for automatic polymeric material identification” Additives LINK

“Review of near infrared hyperspectral imaging applications related to wood and wood products” LINK

“Lamb-dip saturated-absorption cavity ring-down rovibrational molecular spectroscopy in the near-infrared” LINK

“Modulation of Thermally Stable Photoluminescence in Cr3+-Based Near-Infrared Phosphors” LINK




Raman Spectroscopy

“A comparative study based on serum SERS spectra in and on the coffee ring for high precision breast cancer detection” LINK

“Foods : Recent Developments in Surface-Enhanced Raman Spectroscopy and Its Application in Food Analysis: Alcoholic Beverages as an Example” LINK

“Raman spectroscopy biochemical characterisation of bladder cancer cisplatin resistance regulated by FDFT1: a review” | LINK

“Broadband Nanoscale SurfaceEnhanced Raman Spectroscopy by Multiresonant Nanolaminate Plasmonic Nanocavities on Vertical Nanopillars” LINK




Hyperspectral Imaging (HSI)

“Mid-infrared speckle reduction technique for hyperspectral imaging” LINK

“Rapid and accurate detection of starch content in mixed sorghum by hyperspectral imaging combined with data fusion technology” LINK

” A decision fusion method based on hyperspectral imaging and electronic nose techniques for moisture content prediction in frozen-thawed pork” LINK

“A novel high-throughput hyperspectral scanner and analytical methods for predicting maize kernel composition and physical traits” LINK

“Hyperspectral imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends” LINK

“Applied Sciences : Hyperspectral Identification of Ginseng Growth Years and Spectral Importance Analysis Based on Random Forest” LINK

“Nondestructive detection of anthocyanin content in fresh leaves of purple maize using hyperspectral data” LINK

“Application of Principal Component Analysis to Hyperspectral Data for Potassium Concentration Classification on Peach leaves” LINK




Chemometrics and Machine Learning

“Aberrant brain network and eye gaze patterns during natural social interaction predict multi-domain social-cognitive behaviors in girls with fragile X syndrome” | LINK

“Agronomy : Tomato Comprehensive Quality Evaluation and Irrigation Mode Optimization with Biogas Slurry Based on the Combined Evaluation Model” LINK

“Comparison of polynomial and machine learning regression models to predict LDPE, PET, and ABS concentrations in beach sediment based on spectral …” LINK

“Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent Literature” openaccess MachineLearning DeepLearning LINK

” NIR Validation and Calibration of Van Soest cell wall constituents (ADF, NDF, and ADL) of Available Corn Silage in Bangladesh” LINK

“Sensors : Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data” LINK

“Applied Sciences : Prediction of Soil Shear Strength Parameters Using Combined Data and Different Machine Learning Models” LINK

“Prediction and visualization of fat content in polythene-packed meat using near-infrared hyperspectral imaging and chemometrics” LINK

“Comparison of Spectroscopy-Based Methods and Chemometrics to Confirm Classification of Specialty Coffees” LINK

“Proximal sensor data fusion and auxiliary information for tropical soil property prediction: Soil texture” LINK




Environment NIR-Spectroscopy Application

“Comparison of natural and technogenic soils developed on volcanic ash by Vis-NIR spectroscopy” LINK

“Soils of the World ” LINK

“Remote Sensing : Estimation of Pb Content Using Reflectance Spectroscopy in Farmland Soil Near Metal Mines, Central China” LINK




Agriculture NIR-Spectroscopy Usage

“Agriculture : Tea Category Identification Using Wavelet Signal Reconstruction of Hyperspectral Imagery and Machine Learning” LINK

“Plants : Decontamination and Germination of Buckwheat Grains upon Treatment with Oxygen Plasma Glow and Afterglow” LINK

“Near-infrared hyperspectral imaging evaluation of Fusarium damage and DON in single wheat kernels” LINK

“Spectral Indices for Imaging Diesel and Gasoline Polluted Soils Derived from Close-Range Hyperspectral Data” LINK

“Molecular Spectroscopy Market Size is projected to reach USD 3.85 Billion by 2030, growing at a CAGR of 4.28%: Straits Research” LINK

“Remote Sensing : Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning” LINK

“Prediction of milk protein content based on improved sparrow search algorithm and optimized back propagation neural network” | LINK

“Technological Innovations for the Management of Insect-Pests in Stored Grains” | LINK

“Current progress on innovative pest detection techniques for stored cereal grains and thereof powders” FoodSecurity LINK

“Determination of Forage Quality by Near-Infrared Reflectance Spectroscopy in Sweet Sorghum (Sorghum bicolor var. saccharatum (L.) Mohlenbr.)” LINK

“Analysis of Protein Denaturation, and Chemical Visualization, of Frozen Grass Carp Surimi Containing Soluble Soybean Polysaccharides” LINK

“Remote Sensing : Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data” LINK




Horticulture NIR-Spectroscopy Applications

“Development of portable nondestructive detection device for mango internal Diseases fruits NonDestructive Testing LINK

“Global model for in-field monitoring of sugar content and color of melon pulp with comparative regression approach” | LINK




Food & Feed Industry NIR Usage

“Foods : Saponification Value of Fats and Oils as Determined from 1H-NMR Data: The Case of Dairy Fats” LINK




Pharma Industry NIR Usage

“Pharmaceutical tablet compression: measuring temporal and radial concentration profiles to better assess segregation” LINK




Medicinal Spectroscopy

“Evaluation of the Effect of Del Nido and Cold Blood Cardioplegia on Renal Functions in the Surgery of Congenital Heart Diseases” LINK




Other

“近赤外分光法を用いた脂質研究の動向と将来展望” LINK

“Minerals : Fluid Inclusion and Chemical Composition Characteristics of Emeralds from Rajasthan Area, India” LINK

“On-chip complex refractive index detection at multiple wavelengths for selective sensing” | LINK

LINK

“Hranidbena vrijednost kukuruznih silaža Sisačko-moslavačke županije” LINK

“Vibrational spectroscopic evaluation of hydrophilic or hydrophobic properties of oxide surfaces” LINK

“Controlled Synthesis, Spectral Studies, and Catalytic Activity of Silver and Gold Nanoparticles Biosynthesized Using Ficus sycomorus Leaf Extract” | LINK




Spectroscopy and Chemometrics/Machine-Learning News Weekly #20, 2022

NIR Calibration-Model Services

NIR User? Get better results faster | Food Science QC Lab Laboratory Manager chemist LabWork Chemie analytik LINK

Spectroscopy and Chemometrics News Weekly 19, 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 19, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 19, 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)

“Why People and AI Make Good Business Partners” | human AI relationships AI as a Service ( AIaaS ) LabManager NIRS MachineLearning LINK

“A novel aquaphotomics based approach for understanding salvianolic acid A conversion reaction with near infrared spectroscopy” LINK

“ex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learnin” LINK

“DETERMINATION OF QUALITY AND RIPENING STAGES OF ‘PACOVAN’BANANAS USING VIS-NIR SPECTROSCOPY AND MACHINE LEARNING” LINK

“Rapid authentication and composition determination of cellulose films by UV-VIS-NIR spectroscopy” LINK

“Interoceptive Attentiveness Induces Significantly More PFC Activation during a Synchronized Linguistic Task Compared to a Motor Task as Revealed by Functional Near-Infrared Spectroscopy” | LINK

“Near-infrared spectroscopy and machine learning-based technique to predict quality-related parameters in instant tea” | LINK

“Sensors : LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI” LINK

“Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy” LINK

“Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks” LINK

“Multimodal diffuse optical system integrating DSCA-NIRS and cSFDI for measuring tissue metabolism” LINK

extruded granules extruder NIR AEE audible acoustic emission granule drying process PAT LINK

“Fast Noniterative Data Analysis Method for Frequency-Domain Near-Infrared Spectroscopy with the Microscopic Beer-Lambert Law” LINK

“Vis-NIR Hyperspectral Dimensionality Reduction for Nondestructive Identification of China Northeast Rice” | LINK

“FT-NIR Spectroscopy for the Non-Invasive Study of Binders and Multi-Layered Structures in Ancient Paintings: Artworks of the Lombard Renaissance as Case Studies” LINK

“In Vivo Measurement Strategy for Near-Infrared Noninvasive Glucose Detection and Human Body Verification” LINK

“A Standard-Free Calibration Transfer Strategy for a Discrimination Model of Apple Origins Based on Near-Infrared Spectroscopy” LINK

“Comparative study on the real-time monitoring of a fluid bed drying process of extruded granules using near-infrared spectroscopy and audible acoustic emission” LINK

“Fast detection of cotton content in silk/cotton textiles by handheld near-infrared spectroscopy: a performance comparison of four different instruments” LINK

“Evaluation of optical properties of tofu samples produced with different coagulation temperatures and times using near-infrared transmission spectroscopy” LINK

“Near-Infrared Spectroscopy and Mode Cloning (NIR-MC) for In-Situ Analysis of Crude Protein in Bamboo” LINK

“Near-infrared spectroscopy to estimate the chemical element concentration in soils and sediments in a rural catchment” LINK

“Ensemble classification and regression techniques combined with portable near infrared spectroscopy for facile and rapid detection of water adulteration in bovine …” LINK

“Characterization of crude oils with a portable NIR spectrometer” CrudeOil NIRspectrometer LINK




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

“A Device for Measuring Apple Sweetness Using Near Infrared Spectroscopy” LINK

“Nearinfrared fluorophores based on heptamethine cyanine dyes: from their synthesis and photophysical properties to recent optical sensing and bioimaging applications” LINK

“Use of Attenuated Total Reflection Fourier Transform Infrared Spectroscopy and Principal Component Analysis for the Assessment of Engine Oils” | LINK

“Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview” LINK

“Analyzing the Water Confined in Hydrogel Using Near-Infrared Spectroscopy” LINK

“Near-infrared spectra of aqueous glucose solutions” LINK

“Determination of storage period of harvested plums by nearinfrared spectroscopy and quality attributes” LINK




Hyperspectral Imaging (HSI)

“Rapid Detection of Different Types of Soil Nitrogen Using Near-Infrared Hyperspectral Imaging” LINK

“Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview” LINK

“Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning” LINK

“Improving rice nitrogen stress diagnosis by denoising strips in hyperspectral images via deep learning” LINK

“Identification of Soil Arsenic Contamination in Rice Paddy Field Based on Hyperspectral Reflectance Approach” LINK




Chemometrics and Machine Learning

“Remote Sensing : Early Detection of Dendroctonus valens Infestation with Machine Learning Algorithms Based on Hyperspectral Reflectance” LINK

“Applied microwave power estimation of black carrot powders using spectroscopy combined with chemometrics” LINK

DataScientist Job: Expectation vs. Reality [infographic] BigData DataScience Analytics AI MachineLearning ArtificialIntelligence Data DataAnalytics Python SQL Statistics DataViz Careers Jobs FeatureEngineering DataPrep DataCleaning LINK

“Agronomy : Detection of Adulterations in Fruit Juices Using Machine Learning Methods over FT-IR Spectroscopic Data” LINK

“Reflectance Based Models for Non-Destructive Prediction of Lycopene Content in Tomato Fruits” | LINK

“The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation” LINK

“Machine Learning Strategies for the Retrieval of Leaf-Chlorophyll Dynamics: Model Choice, Sequential Versus Retraining Learning, and Hyperspectral Predictors” | LINK

“In-line near-infrared analysis of milk coupled with machine learning methods for the daily prediction of blood metabolic profile in dairy cattle” LINK

“Near-infrared spectroscopy with chemometrics for identification and quantification of adulteration in high-quality stingless bee honey” LINK

“Rapid identification and quantification of intramuscular fat adulteration in lamb meat with VIS-NIR spectroscopy and chemometrics methods” LINK




Optics for Spectroscopy

“Spectrum Reconstruction with Filter-Free Photodetectors Based on Graded-Band-Gap Perovskite Quantum Dot Heterojunctions” LINK




Facts

“Sensors : Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach” | LINK




Research on Spectroscopy

“A Study of C= O… HO and OH… OH (Dimer, Trimer, and Oligomer) Hydrogen Bonding in a Poly (4-vinylphenol) 30%/Poly (methyl methacrylate) 70% Blend and its …” LINK

“Deeper insights into the photoluminescence properties and (photo) chemical reactivity of cadmium red (CdS1− xSex) paints in renowned twentieth century …” | LINK




Equipment for Spectroscopy

“Green Textile Materials for Surface Enhanced Raman Spectroscopy Identification of Pesticides Using a Raman Handheld Spectrometer for In-Field Detection” LINK

“Characterization of Crude Oils with a Portable Nir Spectrometer” LINK

“Discrimination of the Red Jujube Varieties Using a Portable NIR Spectrometer and Fuzzy Improved Linear Discriminant Analysis” LINK

“Rapid authentication of the geographical origin of milk using portable near‐infrared spectrometer and fuzzy uncorrelated discriminant transformation” LINK




Environment NIR-Spectroscopy Application

“Remote Sensing : Estimating Forest Soil Properties for Humus Assessment—Is Vis-NIR the Way to Go?” LINK

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

“Evaluation of Vis-Nir Pretreatments Combined with Pls Regression for Estimation SOC, Cec and Clay in Silty Soils from Eastern Croatia” LINK

“Comparing Two Different Development Methods of External Parameter Orthogonalization for Estimating Organic Carbon from Field-Moist Intact Soils by Reflectance …” LINK




Agriculture NIR-Spectroscopy Usage

“Site-specific seeding for maize production using management zone maps delineated with multi-sensors data fusion scheme” LINK

“Rapid Identification of Soybean Varieties by Terahertz Frequency-Domain Spectroscopy and Grey Wolf Optimizer-Support Vector Machine” | LINK

“A LUCASbased midinfrared soil spectral library: Its usefulness for soil survey and precision agriculture” LINK

“Identification of Microplastics in Biosolids Using Ftir and Vis-Nir Spectroscopy Enhanced by Chemometric Methods” LINK

“Agriculture : Feature Wavelength Selection Based on the Combination of Image and Spectrum for Aflatoxin B1 Concentration Classification in Single Maize Kernels” LINK




Food & Feed Industry NIR Usage

“Agronomy : Analysis of Physico-Chemical and Organoleptic Fruit Parameters Relevant for Tomato Quality” LINK




Chemical Industry NIR Usage

“Polymers : Microscopic and Structural Studies of an Antimicrobial Polymer Film Modified with a Natural Filler Based on Triterpenoids” LINK




Laboratory and NIR-Spectroscopy

“Laboratory Hyperspectral Image Acquisition System Setup and Validation” LINK




Other

“A sensor combination based automatic sorting system for waste washing machine parts” LINK





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What is a NIR spectroscopy calibration service and for which users is it suitable? In a nutshell (TL;DR)

We provide NIR spectroscopy prediction model development and optimization as a service and provide the prediction engine as a software library for integration and also our free NIR-Predictor desktop software that supports many spectral data formats for any NIR instrument sensor. Simply drag and drop spectra files into NIR-Predictor to get analysis results report.

The Problems:

  • How do you build models?
  • How many manual time consuming steps are necessary in complicated expensive software (expensive to buy, develop, use, update)?
  • How long does model development and optimization take?
  • Do you need an expert for doing so?
  • Do you have two or more experts to compare their modeling results?
  • Are your experts overworked?
  • What’s your time to market?
  • And can your models compete in prediction performance with models built on high resolution full range spectrometers data?
  • Can your models be more accurate? E.g. Optimized Calibration for Mango DM

The Solution:

We can build best performing models for you also with small data, like 60 – 100 spectra or big data. You send NIR and Lab data as a single Calibration Request (Video link below) and we return the optimized ready to use model files and delete your sent data after processing. We do not sell and not reuse our customers data and spectral libraries.


Price : Comparision

Calibration Request : Video (2 minutes)

Learn : more

Start Calibrate