Spectroscopy and Chemometrics/Machine-Learning News Weekly #44, 2022Spektroskopie und Chemometrie/Machine-Learning News Wöchentlich #44, 2022Spettroscopia e Chemiometria/Machine-Learning Weekly News #44, 2022

NIR Calibration-Model Services

Develope analytical methods for NIR spectroscopy and optimize for accurate prediction model |20221102_162949 NIRS NIR FTNIR LINK

Increase Your Profit with optimized NIR Accuracy Food Feed FoodSafety Lab QC QA testing PAT QbD Pharma LINK

Spectroscopy and Chemometrics News Weekly 43, 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 43, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 43, 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)

"Degradabilitas Protein Leguminosa sebagai Sumber Protein Sapi Perah dan Pengembangannya sebagai Database NIRS" LINK

"NIR spectroscopy and artificial neural network for seaweed protein content assessment in-situ" LINK

"Near-Infrared Spectroscopy as a Hemodynamic Monitoring Tool during Neonatal Extracorporeal Life Support: A Case Series" LINK

"Multispecies, multisite, multi-age PLS regression models of chemical properties of eucalypts wood using Fourier Transformed near-Infrared (FT-NIR) spectroscopy" | LINK

"Determination of Leaf Relative Water Content of Two Genotypes of Sesame Using Visible and Near-Infrared (VIS/NIR) Spectrometry to Detect Drought Stress" LINK

"Agronomy : Variable Selection on Reflectance NIR Spectra for the Prediction of TSS in Intact Berries of Thompson Seedless Grapes" LINK

"Assessing the Sensitivity of Multi-Distance Hyperspectral NIRS to Changes in the Oxidation State of Cytochrome C Oxidase in the Brain" LINK

"Effects of plant growth regulators on fruit qualities and quality detection in table grapes using Near Infrared Spectroscopy" LINK

"Study of the Capacity of Spectroscopy UV-Vis and NIR to Quantify Fuel Dilution on used engine oils" LINK

"Intelligent Evaluation of Stone Cell Content of Korla Fragrant Pears by Vis/NIR Reflection Spectroscopy. Foods 2022, 11, 2391" LINK

"Near-infrared Spectroscopy (NIRS) Measurements in Cold Water Immersion." LINK

"Determination of curcumin content in sunflower oil by fourier transform near infrared spectroscopy" | LINK

"Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm" LINK

"VIS-NIR spectroscopy for detection of citrus core rot caused by Alternaria alternata" LINK




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

"Estimation of in vitro digestibility and fermentation of elephant grass by near infrared spectroscopy" LINK




Hyperspectral Imaging (HSI)

"Detection of Group Test Objects Using Neural Networks with Hyperspectral Labeling During External Trajectory Measurements" | LINK

"Prediction of Maize Genotype from Hyperspectral Scans of Seeds Using Deep Learning" LINK

"Detection of Early Bruises on Apples Using Hyperspectral Reflectance Imaging Coupled with Optimal Wavelengths Selection and Improved Watershed Segmentation Algorithm" LINK

"Feasibility of identifying the authenticity of fresh and cooked mutton kebabs using visible and near-infrared hyperspectral imaging" LINK

"End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses" | LINK

"Plants : Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches" LINK




Chemometrics and Machine Learning

"Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum" LINK

" The mechanisms and prediction of non-structural carbohydrates accretion and depletion after mechanical wounding in slash pine (Pinus elliottii) using near ..." | LINK

"Insights on the role of chemometrics and vibrational spectroscopy in fruit metabolite analysis" LINK

"Near infrared spectroscopic variable selection by a novel swarm intelligence algorithm for rapid quantification of high order edible blend oil" LINK




Equipment for Spectroscopy

"Polyestertethered nearinfrared fluorophores confined in colloidal nanoparticles: Tunable and thermoresponsive aggregation and biomedical applications" LINK




Process Control and NIR Sensors

"In situ Monitoring of Optoelectronic and Electrochemical Properties of Conducting Polymers" LINK




Environment NIR-Spectroscopy Application

"Effects of partial substitution of chemical fertilizer with biogas slurry on nitrous oxide emissions and the related nitrifier and denitrifier in a saline-alkali soil" LINK




Agriculture NIR-Spectroscopy Usage

"Understanding the potential applications of artificial intelligence in agriculture sector" LINK




Beverage and Drink Industry NIR Usage

"Differences in optical properties and internal qualities of 'Fuji'apple produced in different areas of the Loess Plateau region" LINK




Pharma Industry NIR Usage

"Discrimination of Substandard and Falsified Formulations from Genuine Pharmaceuticals Using NIR Spectra and Machine Learning" LINK




Laboratory and NIR-Spectroscopy

"Remote Sensing : What Indicative Information of a Subsurface Wetted Body Can Be Detected by a Ground-Penetrating Radar (GPR)? A Laboratory Study and Numerical Simulation" LINK




Other

"Synthesis and Properties of ElectronDeficient and ElectronRich RedoxActive Ionic Systems" LINK

"The atomic layer deposition (ALD) synthesis of copper-tin sulfide thin films using low-cost precursors" LINK

"A novel rare-earth high-entropy RE6MoO12 with high near-infrared reflectance as a promising inorganic “cool pigment”" LINK

"Solution combustion synthesis of gray-blue Mn-doped YBO3 pigments with high NIR reflectance for energy-saving buildings" LINK

" WHY DO WE NEED NIRS IN MIGRAINE? W LIBONI1" LINK



NIR Calibration-Model Services

Develope analytical methods for NIR spectroscopy and optimize for accurate prediction model |20221102_162949 NIRS NIR FTNIR LINK

Increase Your Profit with optimized NIR Accuracy Food Feed FoodSafety Lab QC QA testing PAT QbD Pharma LINK

Spectroscopy and Chemometrics News Weekly 43, 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 43, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 43, 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)

"Degradabilitas Protein Leguminosa sebagai Sumber Protein Sapi Perah dan Pengembangannya sebagai Database NIRS" LINK

"NIR spectroscopy and artificial neural network for seaweed protein content assessment in-situ" LINK

"Near-Infrared Spectroscopy as a Hemodynamic Monitoring Tool during Neonatal Extracorporeal Life Support: A Case Series" LINK

"Multispecies, multisite, multi-age PLS regression models of chemical properties of eucalypts wood using Fourier Transformed near-Infrared (FT-NIR) spectroscopy" | LINK

"Determination of Leaf Relative Water Content of Two Genotypes of Sesame Using Visible and Near-Infrared (VIS/NIR) Spectrometry to Detect Drought Stress" LINK

"Agronomy : Variable Selection on Reflectance NIR Spectra for the Prediction of TSS in Intact Berries of Thompson Seedless Grapes" LINK

"Assessing the Sensitivity of Multi-Distance Hyperspectral NIRS to Changes in the Oxidation State of Cytochrome C Oxidase in the Brain" LINK

"Effects of plant growth regulators on fruit qualities and quality detection in table grapes using Near Infrared Spectroscopy" LINK

"Study of the Capacity of Spectroscopy UV-Vis and NIR to Quantify Fuel Dilution on used engine oils" LINK

"Intelligent Evaluation of Stone Cell Content of Korla Fragrant Pears by Vis/NIR Reflection Spectroscopy. Foods 2022, 11, 2391" LINK

"Near-infrared Spectroscopy (NIRS) Measurements in Cold Water Immersion." LINK

"Determination of curcumin content in sunflower oil by fourier transform near infrared spectroscopy" | LINK

"Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm" LINK

"VIS-NIR spectroscopy for detection of citrus core rot caused by Alternaria alternata" LINK




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

"Estimation of in vitro digestibility and fermentation of elephant grass by near infrared spectroscopy" LINK




Hyperspectral Imaging (HSI)

"Detection of Group Test Objects Using Neural Networks with Hyperspectral Labeling During External Trajectory Measurements" | LINK

"Prediction of Maize Genotype from Hyperspectral Scans of Seeds Using Deep Learning" LINK

"Detection of Early Bruises on Apples Using Hyperspectral Reflectance Imaging Coupled with Optimal Wavelengths Selection and Improved Watershed Segmentation Algorithm" LINK

"Feasibility of identifying the authenticity of fresh and cooked mutton kebabs using visible and near-infrared hyperspectral imaging" LINK

"End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses" | LINK

"Plants : Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches" LINK




Chemometrics and Machine Learning

"Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum" LINK

" The mechanisms and prediction of non-structural carbohydrates accretion and depletion after mechanical wounding in slash pine (Pinus elliottii) using near ..." | LINK

"Insights on the role of chemometrics and vibrational spectroscopy in fruit metabolite analysis" LINK

"Near infrared spectroscopic variable selection by a novel swarm intelligence algorithm for rapid quantification of high order edible blend oil" LINK




Equipment for Spectroscopy

"Polyestertethered nearinfrared fluorophores confined in colloidal nanoparticles: Tunable and thermoresponsive aggregation and biomedical applications" LINK




Process Control and NIR Sensors

"In situ Monitoring of Optoelectronic and Electrochemical Properties of Conducting Polymers" LINK




Environment NIR-Spectroscopy Application

"Effects of partial substitution of chemical fertilizer with biogas slurry on nitrous oxide emissions and the related nitrifier and denitrifier in a saline-alkali soil" LINK




Agriculture NIR-Spectroscopy Usage

"Understanding the potential applications of artificial intelligence in agriculture sector" LINK




Beverage and Drink Industry NIR Usage

"Differences in optical properties and internal qualities of 'Fuji'apple produced in different areas of the Loess Plateau region" LINK




Pharma Industry NIR Usage

"Discrimination of Substandard and Falsified Formulations from Genuine Pharmaceuticals Using NIR Spectra and Machine Learning" LINK




Laboratory and NIR-Spectroscopy

"Remote Sensing : What Indicative Information of a Subsurface Wetted Body Can Be Detected by a Ground-Penetrating Radar (GPR)? A Laboratory Study and Numerical Simulation" LINK




Other

"Synthesis and Properties of ElectronDeficient and ElectronRich RedoxActive Ionic Systems" LINK

"The atomic layer deposition (ALD) synthesis of copper-tin sulfide thin films using low-cost precursors" LINK

"A novel rare-earth high-entropy RE6MoO12 with high near-infrared reflectance as a promising inorganic “cool pigment”" LINK

"Solution combustion synthesis of gray-blue Mn-doped YBO3 pigments with high NIR reflectance for energy-saving buildings" LINK

" WHY DO WE NEED NIRS IN MIGRAINE? W LIBONI1" LINK



NIR Calibration-Model Services

Develope analytical methods for NIR spectroscopy and optimize for accurate prediction model |20221102_162949 NIRS NIR FTNIR LINK

Increase Your Profit with optimized NIR Accuracy Food Feed FoodSafety Lab QC QA testing PAT QbD Pharma LINK

Spectroscopy and Chemometrics News Weekly 43, 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 43, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 43, 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)

"Degradabilitas Protein Leguminosa sebagai Sumber Protein Sapi Perah dan Pengembangannya sebagai Database NIRS" LINK

"NIR spectroscopy and artificial neural network for seaweed protein content assessment in-situ" LINK

"Near-Infrared Spectroscopy as a Hemodynamic Monitoring Tool during Neonatal Extracorporeal Life Support: A Case Series" LINK

"Multispecies, multisite, multi-age PLS regression models of chemical properties of eucalypts wood using Fourier Transformed near-Infrared (FT-NIR) spectroscopy" | LINK

"Determination of Leaf Relative Water Content of Two Genotypes of Sesame Using Visible and Near-Infrared (VIS/NIR) Spectrometry to Detect Drought Stress" LINK

"Agronomy : Variable Selection on Reflectance NIR Spectra for the Prediction of TSS in Intact Berries of Thompson Seedless Grapes" LINK

"Assessing the Sensitivity of Multi-Distance Hyperspectral NIRS to Changes in the Oxidation State of Cytochrome C Oxidase in the Brain" LINK

"Effects of plant growth regulators on fruit qualities and quality detection in table grapes using Near Infrared Spectroscopy" LINK

"Study of the Capacity of Spectroscopy UV-Vis and NIR to Quantify Fuel Dilution on used engine oils" LINK

"Intelligent Evaluation of Stone Cell Content of Korla Fragrant Pears by Vis/NIR Reflection Spectroscopy. Foods 2022, 11, 2391" LINK

"Near-infrared Spectroscopy (NIRS) Measurements in Cold Water Immersion." LINK

"Determination of curcumin content in sunflower oil by fourier transform near infrared spectroscopy" | LINK

"Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm" LINK

"VIS-NIR spectroscopy for detection of citrus core rot caused by Alternaria alternata" LINK




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

"Estimation of in vitro digestibility and fermentation of elephant grass by near infrared spectroscopy" LINK




Hyperspectral Imaging (HSI)

"Detection of Group Test Objects Using Neural Networks with Hyperspectral Labeling During External Trajectory Measurements" | LINK

"Prediction of Maize Genotype from Hyperspectral Scans of Seeds Using Deep Learning" LINK

"Detection of Early Bruises on Apples Using Hyperspectral Reflectance Imaging Coupled with Optimal Wavelengths Selection and Improved Watershed Segmentation Algorithm" LINK

"Feasibility of identifying the authenticity of fresh and cooked mutton kebabs using visible and near-infrared hyperspectral imaging" LINK

"End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses" | LINK

"Plants : Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches" LINK




Chemometrics and Machine Learning

"Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum" LINK

" The mechanisms and prediction of non-structural carbohydrates accretion and depletion after mechanical wounding in slash pine (Pinus elliottii) using near ..." | LINK

"Insights on the role of chemometrics and vibrational spectroscopy in fruit metabolite analysis" LINK

"Near infrared spectroscopic variable selection by a novel swarm intelligence algorithm for rapid quantification of high order edible blend oil" LINK




Equipment for Spectroscopy

"Polyestertethered nearinfrared fluorophores confined in colloidal nanoparticles: Tunable and thermoresponsive aggregation and biomedical applications" LINK




Process Control and NIR Sensors

"In situ Monitoring of Optoelectronic and Electrochemical Properties of Conducting Polymers" LINK




Environment NIR-Spectroscopy Application

"Effects of partial substitution of chemical fertilizer with biogas slurry on nitrous oxide emissions and the related nitrifier and denitrifier in a saline-alkali soil" LINK




Agriculture NIR-Spectroscopy Usage

"Understanding the potential applications of artificial intelligence in agriculture sector" LINK




Beverage and Drink Industry NIR Usage

"Differences in optical properties and internal qualities of 'Fuji'apple produced in different areas of the Loess Plateau region" LINK




Pharma Industry NIR Usage

"Discrimination of Substandard and Falsified Formulations from Genuine Pharmaceuticals Using NIR Spectra and Machine Learning" LINK




Laboratory and NIR-Spectroscopy

"Remote Sensing : What Indicative Information of a Subsurface Wetted Body Can Be Detected by a Ground-Penetrating Radar (GPR)? A Laboratory Study and Numerical Simulation" LINK




Other

"Synthesis and Properties of ElectronDeficient and ElectronRich RedoxActive Ionic Systems" LINK

"The atomic layer deposition (ALD) synthesis of copper-tin sulfide thin films using low-cost precursors" LINK

"A novel rare-earth high-entropy RE6MoO12 with high near-infrared reflectance as a promising inorganic “cool pigment”" LINK

"Solution combustion synthesis of gray-blue Mn-doped YBO3 pigments with high NIR reflectance for energy-saving buildings" LINK

" WHY DO WE NEED NIRS IN MIGRAINE? W LIBONI1" LINK



Spectroscopy and Chemometrics/Machine-Learning News Weekly #20, 2022 Spektroskopie und Chemometrie/Machine-Learning News Wöchentlich #20, 2022Spettroscopia e Chemiometria/Machine-Learning Weekly News #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





.

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





.

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





.

Digitization in the field of NIR spectroscopy (smart sensors)Digitalisierung im Bereich der NIR-Spektroskopie (Smart-Sensors)Digitalizzazione nel campo della spettroscopia NIR (sensori intelligenti)

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



Die Digitalisierung schreitet voran, so auch in der NIR-Spektroskopie, die trainierbare miniatur Smart-Sensors ermöglicht z.B. für Analysen im Bereich Food&Feed, Chemie und Pharma.

Die Kalibration ist das Kernstück eines NIR-Spektroskopie Sensors, sie ermöglicht die zahlreichen Applikationen und sollte darum nicht das schwächste Glied in der Messkette sein.

Das Entwickeln von Kalibrationen die NIR-Spektrometer zu Smart-Sensoren macht, wird bis an hin von Experten (NIR-Spezialist, Chemometriker, Data Scientist) manuell gemacht mit sogenannter Chemometrie Software.

Das ist sehr zeitintensiv (Time to Market) und das Ergebnis ist personenabhängig und somit suboptimal, denn jeder Experte hat seine eigene bevorzugte Weise wie er vorgeht. Dazu kommt, dass die Kalibrationen gewartet werden müssen, da in der Zwischenzeit neue Daten gesammelt wurden, die zur Erweiterung und Verbesserung der Kalibrationen genutzt werden kann.

Hier setzt unser automatisierter Service an, der das Wissen und Good-Practices der NIR-Spektroskopie und Chemometrie gesammelt in einer Software vereint und mittels Machine-Learning optimale Kalibrationen erzeugt.

Wir haben darauf aufbauend eine komplette Technologie-Plattform entwickelt (Time to Market), die den ganzen Ablauf vom Senden der NIR + Lab Daten, zu NIR-Kalibration as a Service, vom Online-Kauf der Kalibrationen, bis hin zur NIR-Predictor Software die neu gemessene NIR Daten direkt lokal auswertet und Ergebnis Reports erstellt.

Nebst der freien Desktop Variante mit User Interface kann der NIR-Predictor auch integriert werden (OEM). Das kann parallel als Ergänzung zu ihrem jetzigen Predictor integriert werden und so dem Anwender die Wahl ermöglichen, wie er Kalibrieren möchte. Und ihnen so den Vorteil verschaffen, bei NIR Feasibility Studies und NIR-Spektrometer Evaluationen, dem Kunden rasch eine solide und genaue Kalibration bereitzustellen, die ihr NIR System bessere Ergebnisse liefern lässt.

Vorteile für ihre NIR-Anwender (intern oder extern)
  • keine Initial-Kosten (keine Chemometrie Software Lizenz nötig),
  • kalkulierbare Betriebs Kosten (fix Betrag statt nach Aufwand und Stundensatz) (Kalibrationsentwicklung, Kalibrations-Pflege)
  • einfach Anwendbar (keine Chemometrie- und Software-Trainings),
  • schneller Einsatzbereit (keine Kalibrations-Entwicklungs Arbeit) und
  • bessere Kalibrationen (precision, accuracy, robustness, …)


Unsere kostenpflichtige Serviceleistung beruht auf der Kalibrationsentwicklung und der jährlichen Kalibrationsnutzung. Dabei kann die Kalibrationsentwicklung und Kalibrationsnutzung auch getrennt voneinander (Hersteller / User) erfolgen.

Für Sie als Spektrometer Hersteller kommt so die Möglichkeit hinzu, dass Sie für bestimmte Applikationen ihr System Vorkalibriert ausliefern können, ohne dass Software-Lizenz-Kosten fällig werden. Und ohne dass ihre Applikations-Spezialisten zusätzliche Kalibrationsleistung erbringen müssen.

Die einzigartigen Vorteile unseres Calibrations-Service zusammen mit dem free NIR-Predictor sind:
  • keine Software Lizenz Kosten (Chemometrie Software, Predictor Software, OEM integration)
  • kein Chemometrie Know-How nötig
  • kein Zeitaufwand nötig um optimale NIR-Kalibrationen zu entwickeln.


Bei Interesse zur Nutzung/Evaluation des Services :

Über CalibrationModel.com : Zeit- und Wissens-intensive Erstellung und Optimierung von chemometrischen Auswertemethoden für Spektrometer als Service, um präzisere Analysen- und Messergebnisse zu ermöglichen.



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



La digitalizzazione sta progredendo, anche nella spettroscopia NIR, che consente l'uso di sensori intelligenti in miniatura addestrabili, ad esempio per analisi nei settori alimentare e dei mangimi, chimico e farmaceutico.

La calibrazione è il cuore di un sensore di spettroscopia NIR, consente le numerose applicazioni e non dovrebbe quindi essere l'anello più debole della catena di misura.

Lo sviluppo delle calibrazioni che trasformano gli spettrometri NIR in sensori intelligenti viene effettuato manualmente da esperti (specialista NIR, chemiometrista, scienziato dei dati) con il cosiddetto software di chemiometria.

Ciò richiede molto tempo (time to market) e il risultato dipende dalla persona ed è quindi subottimale, perché ogni esperto ha il suo modo di procedere preferito. Inoltre, le calibrazioni devono essere mantenute, poiché nel frattempo sono stati raccolti nuovi dati che possono essere utilizzati per ampliare e migliorare le calibrazioni.

Qui entra in gioco il nostro servizio automatizzato, che combina le conoscenze e le buone pratiche della spettroscopia NIR e della chemiometria in un unico software e genera calibrazioni ottimali mediante l'apprendimento automatico.

Su questa base, abbiamo sviluppato una piattaforma tecnologica completa (Time to Market), che copre l'intero processo dall'invio dei dati NIR + Lab, alla calibrazione NIR come servizio, dall'acquisto online delle calibrazioni, al software NIR Predictor, che valuta direttamente i dati NIR appena misurati a livello locale e genera rapporti sui risultati.

Oltre alla versione desktop gratuita con interfaccia utente, il NIR Predictor può essere integrato (OEM). Questo può essere integrato in parallelo come complemento al vostro Predictor attuale, permettendo all'utente di scegliere come vuole calibrare. Questo vi offre il vantaggio negli studi di fattibilità NIR e nelle valutazioni degli spettrometri NIR per fornire rapidamente al cliente una calibrazione solida e accurata che farà sì che il vostro sistema NIR fornisca risultati migliori.

Vantaggi per i vostri utenti NIR (interni o esterni)
  • nessun costo iniziale (non è necessaria la licenza del software di chemiometria),
  • costi operativi calcolabili (importo fisso anziché tariffa oraria) (sviluppo della taratura, manutenzione della taratura)
  • facile da usare (nessuna chemiometria e formazione software),
  • più veloce da usare (nessun lavoro di sviluppo di calibrazione) e
  • calibrazioni migliori (precisione, accuratezza, robustezza, ...)


Il nostro servizio a pagamento si basa sullo sviluppo della taratura e sull'utilizzo annuale della taratura. Lo sviluppo della taratura e l'uso della taratura possono essere effettuati anche separatamente (produttore/utente).

Per voi, in qualità di produttori di spettrometri, ciò significa che potete fornire il vostro sistema pre-calibrato per determinate applicazioni senza incorrere in costi di licenza del software. E senza che i vostri specialisti delle applicazioni debbano fornire ulteriori servizi di taratura.

I vantaggi unici del nostro servizio di calibrazione insieme al predittore NIR Predictor gratuito sono:
  • nessun costo di licenza software (software di chemiometria, software di previsione, integrazione OEM)
  • non è necessario alcun know-how in chemiometria
  • non c'è bisogno di tempo per sviluppare calibrazioni NIR ottimali.


Se interessati all'uso/valutazione del servizio :

Informazioni su CalibrationModel.com : Creazione e ottimizzazione dei metodi di valutazione chemiometrica per gli spettrometri come servizio per consentire analisi e risultati di misura più precisi.



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 testingNIR-Analyse im Labor und in Laboratorien – aka NIR-Labore und NIR-TestsAnalisi NIR in laboratorio e nei laboratori – noti anche come laboratori NIR e test NIR


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 summaries "NIR News Weekly" here.

Haben Sie ein NIR-Spektrometer in Ihrem Labor?

Wie viele andere Analysen, die Sie im Labor durchführen, könnten mit NIR schneller und billiger durchgeführt werden?

Ist dies möglich und präzise genug?

Versuchen Sie es, wir haben die Lösung für Sie!
Sie haben das NIR, scannen sie Proben, Sie haben die Laborwerte und die Spektren, wir kalibrieren für Sie!

Um zu sehen, ob die Anwendung möglich ist und wie präzise sie aufgrund von wissensbasierten intensiven Modelloptimierungen sein kann.

Wir führen die NIR-Machbarkeitsstudie mit Daten für Sie durch. Fixpreise

NIR hat ein riesiges Anwendungspotential und ist eine grüne Analysemethode, die schnell und einfach anzuwenden ist. Und hat heute die Möglichkeit, mit kostengünstigen mobilen NIR-Spektrometern zu skalieren.

Bringen Sie das Labor zu der Probe. So vermeiden Sie den Probentransport und erhalten sofortige Ergebnisse zur Entscheidung am Ort oder im Prozess.

Probieren Sie einfach die NIR-Anwendung aus, nutzen Sie das NIR täglich, sammeln Sie parallel dazu Daten, wir entwickeln, optimieren und warten die Kalibriermodelle für Sie.

Wie denken Sie darüber?

Start Calibrate


Was ist heute mit NIR möglich?
Die Zahl der verschiedenen Anwendungen ist in den letzten 2-3 Jahren explodiert!
Sehen Sie hier die täglichen NIR-Forschungsberichte über @CalibModel oder die 7-Tage-Zusammenfassungen "NIR News Weekly".

Avete uno spettrometro NIR nel vostro laboratorio?

Quante altre analisi si possono fare in laboratorio in modo più veloce ed economico con il NIR?

È possibile e sufficientemente preciso?

Provate, abbiamo la soluzione per voi!
Avete il NIR, scansionate i campioni, avete i valori di laboratorio e gli spettri, noi calibriamo per voi!

Per vedere se l'applicazione è possibile e quanto precisa può essere grazie all'ottimizzazione intensiva del modello basata sulla conoscenza.
Facciamo lo studio di fattibilità NIR con i dati per voi. Prezzi fissi

Il NIR ha enormi potenzialità applicative ed è un metodo analitico Green, veloce e facile da usare. E ha oggi la possibilità di scalare con gli economici spettrometri mobili NIR.
Portate il laboratorio al campione. Per evitare il trasporto del campione e ottenere risultati immediati per la decisione sul posto o nel processo.

Basta provare l'applicazione NIR, usare il NIR quotidianamente, raccogliere dati in parallelo, noi sviluppiamo, ottimizziamo e manteniamo i modelli di calibrazione per voi.

Come pensate di fare?

Inizia a calibrare


Cosa è possibile oggi con il NIR?
Il numero di diverse Applicazioni è esploso negli ultimi 2-3 anni!
Vedi le notizie dei giornali di ricerca NIR su @CalibModel o i riassunti di 7 giorni "NIR News Weekly" qui.
________________________________________________

Análise NIR no laboratório e laboratórios - também conhecidos como laboratórios NIR e testes NIR


Tem um espectrómetro NIR no seu laboratório?

Quantas outras análises que faz no Laboratório poderiam ser feitas mais rapidamente e mais baratas com o NIR? Será isto possível e suficientemente preciso?

Tente, nós temos a solução para si!

Tem o NIR, digitaliza as amostras, tem os valores de laboratório e os espectros, nós calibramos para si! Para ver se a aplicação é possível e quão precisa pode ser devido a optimizações de modelos intensivas baseadas no conhecimento.
Fazemos o estudo de viabilidade do NIR com dados para si. Preços fixos

NIR tem um enorme potencial de aplicação e é um método analítico Verde, que é rápido e fácil de usar. E tem hoje a possibilidade de ser escalado com espectrómetros NIR móveis de baixo custo.

Traga o Laboratório para a amostra. Para evitar o transporte de amostras e obter resultados imediatos para decisão no local ou no processo.

Basta experimentar a aplicação NIR, utilizar o NIR diariamente, recolher dados em paralelo, nós desenvolvemos, optimizamos e mantemos os modelos de calibração para si.

Como pensa?

Iniciar a calibração


O que é possível hoje com o NIR?
O número de diferentes Aplicações explodiu nos últimos 2-3 anos!
Ver os jornais de investigação NIR diariamente sobre @CalibModel ou os resumos de 7 dias "NIR News Weekly" aqui.
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El análisis NIR en el laboratorio y los laboratorios - también conocidos como laboratorios NIR y pruebas NIR


Tiene un espectrómetro NIR en su laboratorio?

Cuántos análisis más haces en el laboratorio podrían hacerse más rápido y más barato con el NIR? Es esto posible y suficientemente preciso?

¡Inténtelo, tenemos la solución para usted!
Tienes el NIR, escaneas las muestras, tienes los valores del laboratorio y los espectros, ¡calibramos para ti!

Para ver si la aplicación es posible y cuán precisa puede ser gracias a las optimizaciones intensivas de modelos basadas en el conocimiento.

Hacemos el estudio de viabilidad del NIR con los datos para usted. Precios fijos

El NIR tiene un enorme potencial de aplicación y es un método analítico verde, que es rápido y fácil de usar. Y tiene hoy la posibilidad de escalar con espectrómetros NIR móviles baratos.
Trae el laboratorio a la muestra. Para evitar el transporte de la muestra y obtener resultados inmediatos para la decisión en el lugar o en el proceso.

Pruebe la aplicación NIR, utilice el NIR diariamente, recoja los datos en paralelo, nosotros desarrollamos, optimizamos y mantenemos los modelos de calibración para usted.

Cómo cree usted?

Comenzar a calibrar


Qué es posible hoy en día con el NIR?
¡El número de aplicaciones diferentes explotó en los últimos 2-3 años!
Vea las noticias diarias de los trabajos de investigación del NIR en @CalibModel o los resúmenes de 7 días "NIR News Weekly" aquí.

How to start building a NIR Calibration (a NIR prediction model)?Wie beginnt man mit der Erstellung einer NIR-Kalibrierung (ein NIR-Vorhersagemodell)?Come iniziare a costruire una Calibrazione NIR (un modello di previsione NIR)?

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

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

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

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

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

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

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

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

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

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

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



NIR Calibration Service explained


Start Calibrate

Mit mindestens 60-100 verschiedenen NIR-Messproben mit unterschiedlichen Laborwerten
können wir für Sie eine quantitative NIR-Kalibrierung entwickeln!

Sie müssen nicht mit teurer chemometrischer Software arbeiten.
Machen Sie sich keine Sorgen, die Preise dafür sind günstig und alle Software, die Sie benötigen, ist im Preis inbegriffen. Preisvergleich

Die kostenlose NIR-Predictor Software erlaubt es, Ihre gemessenen NIR-Spektren mit den Lab-Werten der Proben zu kombinieren.
Und überprüft Ihre Daten und erstellt eine Kalibrationsanforderungsdatei für Sie. NIR-Prädiktor Info

Damit können Sie Ihre individuell angepasste Kalibrierung bestellen, indem Sie die Kalibrierungsanforderungsdatei an info@CalibrationModel.com senden.

Nach der Bearbeitung erhalten Sie eine E-Mail mit einem Link für den Zugriff auf Ihre kundenspezifischen Kalibrierungen in unserem WebShop.
wo Sie die Kalibrierungsdatei sofort kaufen und herunterladen können
zur Verwendung in der mitgelieferten kostenlosen NIR-Predictor-Software, um Ergebnisse aus Spektrendateien vorherzusagen. NIR-Predictor Sofware

Für Ihren Kalibrierungs-Start-up-Zyklus bieten wir preisgünstige kurzlebige Kalibrierungen an, die z.B. 3 oder 6 Monate lang funktionieren. Preisgestaltung

Während dieser Nutzungszeit der Kalibrierung haben Sie mehr Proben gemessen und mehr NIR- und Labordaten gesammelt, um eine größere und bessere Kalibrierung zu erstellen. Sie haben z.B. Proben erhalten, die den Bereich der Bestandteile erweitern. Oder Sie haben die Lab-Werte von zusätzlichen Bestandteilen gesammelt.

Ja, aus einem gemessenen NIR-Spektrum können mehrere Bestandteile gleichzeitig vorhergesagt werden (eine quantitative Kalibrierung pro Bestandteil ist erforderlich).

Und NIR-Predictor erledigt dies mit Leichtigkeit und erstellt NIR-Vorhersageberichte (druckbar, archivierbar) von allen Kalibrationen, die Sie in einem Ordner mit dem Namen "MyFruitApplication" haben.

Und wenn Sie mehrere solcher Anwendungen haben, können Sie in NIR-Predictor einfach zwischen den Anwendungen zur Analyse neuer NIR-Spektrendateien wechseln.

Die NIR-Spektrendateien finden Sie aus dem gespeicherten oder exportierten Ordner Ihrer NIR-Spektrometer-Software. unterstützte Dateiformate



NIR Calibration Service erklärt


Start Calibrate

Con almeno 60-100 diversi campioni misurati NIR con diversi valori Lab
possiamo sviluppare una calibrazione NIR quantitativa per voi!

Non è necessario operare con costosi software chemometrici.
Non preoccupatevi, i prezzi sono economici per questo e tutto il software di cui avete bisogno è incluso. Confronto dei prezzi

Il software gratuito NIR-Predictor permette di combinare il NIR-Spectra misurato con i valori di laboratorio dei campioni.
E controlla i vostri dati e crea un file di richiesta di calibrazione per voi. NIR-Predictor Info

Con questo potete ordinare la vostra calibrazione individuale personalizzata, inviando il file di richiesta di calibrazione a info@CalibrationModel.com.

Dopo l'elaborazione riceverete una e-mail con un link per accedere alle vostre calibrazioni personalizzate nel nostro WebShop.
dove è possibile acquistare e scaricare immediatamente il file di calibrazione
per l'uso nel software gratuito NIR-Predictor incluso per ottenere i risultati previsti dai file di spettri. NIR-Predictor Sofware

Per il vostro ciclo di avvio della Calibrazione forniamo calibrazioni a basso prezzo a vita breve, che funzionano per esempio per 3 o 6 mesi. Prezzi

Durante questo tempo di utilizzo della Calibrazione avete misurato più campioni e raccolto più dati NIR e dati di laboratorio per costruire una calibrazione più grande e migliore. Ad es. avete ottenuto campioni che estendono la gamma dei costituenti. Oppure avete raccolto i valori Lab di ulteriori costituenti.

Sì, da uno spettro NIR misurato si possono prevedere più costituenti contemporaneamente (è necessaria una calibrazione quantitativa per costituente).

E NIR-Predictor gestisce tutto questo con facilità e crea rapporti di previsione NIR (stampabili, archiviabili) di tutte le calibrazioni che si hanno in una cartella con il nome, ad esempio, di "MyFruitApplication".

E avendo più applicazioni di questo tipo, in NIR-Predictor è possibile passare facilmente da un'applicazione all'altra per l'analisi di nuovi file di spettri NIR.

I file di spettri NIR si trovano nella cartella memorizzata o esportata dal software NIR-Spectrometer. Formati di file supportati



NIR Calibration Service explained


Start Calibrate

NIR-Predictor DownloadNIR-Predictor DownloadNIR-Predictor Download

The free NIR-Predictor software
  • comes with demo data, so you can predict sample spectra with demo calibrations.
  • has no functional limitations, no nagging, no ads and needs no license-key.
  • you need no account and no registration to download and use.
  • runs on Microsoft Windows 10/8/7 (Starter, Basic, Professional) (32 bit / 64 bit).
  • no data is ever transmitted from your local machine. We don't even collect usage data.
See more Videos



Beside the free NIR-Predictor software with Windows user interface,
the real-time Predictor Engine is also available
  • for embedded integration in application, cloud and instrument-software (ICT).
  • As a light-weigt single library file (DLL)
    with application programming interface (API),
    documentation and software development kit (SDK)
    including sample source code (C#).
  • Easy integration and deployment,
    no software license protection (no serial key, no dongle).
  • Put your spectrum as an array into the multivariate predictor,
    no specific file format needed.
  • Fast prediction speed and low latency
    because of compiled code library (direct call, no cloud API).
  • Protected prediction results with outlier detection information.
See NIR Method Development Service for Labs and NIR-Vendors (OEM, White-Label)



Software Size Date Comment
NIR-Predictor V2.6.0.2 (download)

What's new, see Release Notes

By downloading and/or using the software
you accept the Software License Agreement (EULA)
3.7 MB 18.08.2021 public release

Minimal System Requirements
Windows 7 Starter 32Bit, 1.6 GHz, 2 GB RAM, non-Administrator account

Installation
There are no administrator rights required, unpack the zip file to a folder "NIR-Predictor" in your documents or on your desktop.
Read the ReadMe.txt and double click the NIR-Predictor.exe file.

Upgrade
If you have installed an older version of NIR-Predictor then unpack into a different folder named e.g. "NIR-PredictorVx.y". All versions can run side-by-side. Copy the Calibrations in use to the new version into the "Calibration" folder. That's all.

Uninstall
Make sure to backup your reports and calibrations inside your "NIR-Predictor" folder. Delete the "NIR-Predictor" folder.


Start Calibrate

See also:
The free NIR-Predictor software
  • comes with demo data, so you can predict sample spectra with demo calibrations.
  • has no functional limitations, no nagging, no ads and needs no license-key.
  • you need no account and no registration to download and use.
  • runs on Microsoft Windows 10/8/7 (Starter, Basic, Professional) (32 bit / 64 bit).
  • no data is ever transmitted from your local machine. We don't even collect usage data.
See more Videos



Neben der kostenlosen NIR-Predictor-Software mit Windows-Benutzeroberfläche
ist die Echtzeit-Predictor-Engine auch verfügbar
  • für die eingebettete Integration in Applikations-, Cloud- und Geräte-Software (ICT).
  • Als leichtgewichtige Einzelbibliotheksdatei (DLL)
    mit Anwendungsprogrammier-Schnittstelle (API),
    Dokumentation und Software Development Kit (SDK)
    inklusive Beispiel-Quellcode (C#).
  • Einfache Integration und Bereitstellung,
    kein Software-Lizenzschutz (kein Serienschlüssel, kein Dongle).
  • Geben Sie Ihr Spektrum als Array in den multivariaten Prädiktor ein,
    es ist kein spezielles Dateiformat erforderlich.
  • Schnelle Vorhersagegeschwindigkeit und niedrige Latenz
    aufgrund der kompilierten Code-Bibliothek (direkter Aufruf, keine Cloud-API).
  • Geschützte Vorhersageergebnisse mit Informationen zur Ausreißererkennung.
Siehe NIR-Methodenentwicklungsservice für Labore und NIR-Anbieter (OEM, White-Label)



Software Size Date Comment
NIR-Predictor V2.6.0.2 (download)

What's new, see Release Notes

By downloading and/or using the software
you accept the Software License Agreement (EULA)
3.7 MB 18.08.2021 public release

Minimal System Requirements
Windows 7 Starter 32Bit, 1.6 GHz, 2 GB RAM, non-Administrator account

Installation
There are no administrator rights required, unpack the zip file to a folder "NIR-Predictor" in your documents or on your desktop.
Read the ReadMe.txt and double click the NIR-Predictor.exe file.

Upgrade
If you have installed an older version of NIR-Predictor then unpack into a different folder named e.g. "NIR-PredictorVx.y". All versions can run side-by-side. Copy the Calibrations in use to the new version into the "Calibration" folder. That's all.

Uninstall
Make sure to backup your reports and calibrations inside your "NIR-Predictor" folder. Delete the "NIR-Predictor" folder.


Start Calibrate

See also:
The free NIR-Predictor software
  • comes with demo data, so you can predict sample spectra with demo calibrations.
  • has no functional limitations, no nagging, no ads and needs no license-key.
  • you need no account and no registration to download and use.
  • runs on Microsoft Windows 10/8/7 (Starter, Basic, Professional) (32 bit / 64 bit).
  • no data is ever transmitted from your local machine. We don't even collect usage data.
See more Videos



Oltre al software gratuito NIR-Predictor con interfaccia utente Windows,
il Predictor Engine in tempo reale è disponibile anche
  • per l'integrazione embedded in applicazioni, cloud e strumenti-software (ICT).
  • Come un singolo file di libreria leggera (DLL)
    con interfaccia di programmazione dell'applicazione (API),
    documentazione e kit di sviluppo del software (SDK)
    incluso il codice sorgente di esempio (C#).
  • Facile integrazione e distribuzione,
    nessuna protezione della licenza software (nessuna chiave seriale, nessun dongle).
  • Inserisci il tuo spettro come array nel predittore multivariato,
    non è necessario alcun formato di file specifico.
  • Velocità di predizione veloce e bassa latenza
    grazie alla libreria di codice compilata (chiamata diretta, nessuna API cloud).
  • Risultati di predizione protetti con informazioni di rilevamento degli outlier.
Vedi Servizio di sviluppo del metodo NIR per laboratori e fornitori NIR (OEM, White-Label)



Software Size Date Comment
NIR-Predictor V2.6.0.2 (download)

What's new, see Release Notes

By downloading and/or using the software
you accept the Software License Agreement (EULA)
3.7 MB 18.08.2021 public release

Minimal System Requirements
Windows 7 Starter 32Bit, 1.6 GHz, 2 GB RAM, non-Administrator account

Installation
There are no administrator rights required, unpack the zip file to a folder "NIR-Predictor" in your documents or on your desktop.
Read the ReadMe.txt and double click the NIR-Predictor.exe file.

Upgrade
If you have installed an older version of NIR-Predictor then unpack into a different folder named e.g. "NIR-PredictorVx.y". All versions can run side-by-side. Copy the Calibrations in use to the new version into the "Calibration" folder. That's all.

Uninstall
Make sure to backup your reports and calibrations inside your "NIR-Predictor" folder. Delete the "NIR-Predictor" folder.


Start Calibrate

See also: