Spectroscopy and Chemometrics News Weekly #20, 2019Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #20, 2019Spettroscopia e Chemiometria Weekly News #20, 2019

CalibrationModel.com

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

"Automated Analytical Method Development for NIRS. Software/Service Solution for Automation of Machine Learning for the NIR-Spectroscopy Domain." LINK

Do you use a near-infrared Spectrometer with Chemometric Methods? This will save you time NIR NIRS SWIR FTNIR LINK

Neue Möglichkeiten in der Entwicklung von Applikationen für die NIR-Analytik | Labor NIRS Analytik LaborAnalytik LINK

Rapid development of robust quantitative methods by near-infrared spectroscopy for NIR NIRS LINK

Spectroscopy and Chemometrics News Weekly 19, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 19, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 19, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK



This week's NIR news Weekly is sponsored by Your-Company-Name-Here - Best-NIR-instruments. Check out their product page ... link




Chemometrics

" Prediction of Intermuscular Fat of lamb topside in-situ using Near Infrared Spectroscopy" LINK

"Comparison of Unsupervised Algorithms for Vineyard Canopy Segmentation from UAV Multispectral Images" RemoteSensing LINK

"复烤片烟常规化学成分的傅里叶变换近红外光谱法的模型转移" "Model Transfer of Routine Chemical Components in Redried Lamina on Fourier Transform Near Infrared Spectroscopy" LINK

"血浆醇沉过程中近红外光谱在线蛋白含量监测及定量模型转移研究" "On-line protein content monitoring and quantitative model transfer in near-infrared spectroscopy during plasma alcohol deposition" LINK

"A Sparse Classification Based on a Linear Regression Method for Spectral Recognition" LINK

"Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics" LINK

"Rock lithological classification by hyperspectral, range 3D and color images" LINK

"Modeling of oil near-infrared spectroscopy based on similarity and transfer learning algorithm" LINK

"Recent advances in modeling vibrational spectra of food adulterants Theoretical simulation of IR and NIR bands of melamine" LINK

"Fine root lignin content is well predictable with near-infrared spectroscopy" LINK

"Study on identification of different producing areas of Gastrodia elata using multivariable selection and two-dimensional correlation spectroscopy of near infrared spectroscopy" LINK

"Discrimination of Trichosanthis Fructus from Different Geographical Origins Using Near Infrared Spectroscopy Coupled with Chemometric Techniques" LINK




Near Infrared

"FT-NIR spectroscopy coupled with multivariate analysis for detection of starch adulteration in turmeric powder." LINK

"< 전시-P-67> 근적외선 분광법에 의한 Fenton oxidation-열수처리 고형바이오매스 성분분석" "Analysis of chemical component of pretreated biomass by Fenton oxidation-hydrothermal treatment using near infrared spectroscopy" LINK

"Rapid and non-destructive analysis for the identification of multi-grain rice seeds with near-infrared spectroscopy." LINK

"Near infrared spectroscopy enables quantitative evaluation of human cartilage biomechanical properties during arthroscopy" LINK

"Near-Infrared Light Emitting Diode Based Non-Invasive Glucose Detection System" LINK

"Rapid bacteria selection using Aquaphotomics and near infrared spectroscopy" LINK

"Characterisation of organic colourants in ukiyo-e prints by Fourier transform near infrared fibre optics reflectance spectroscopy" LINK




Optics

"Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices." LINK




Environment

"Determining the significance of individual factors for orthogonal designs" LINK

"Exploring the Influence of Spatial Resolution on the Digital Mapping of Soil Organic Carbon by Airborne Hyperspectral VNIR Imaging" RemoteSensing LINK




Agriculture

"Determination of calcium and magnesium in the Solanaceae plant by near infrared spectroscopy combined with interval combination optimization algorithm" LINK

"The Effect of Omega-3 and Omega-6 Polyunsaturated Fatty Acids on the Production of Cyclooxygenase and Lipoxygenase Metabolites by Human Umbilical Vein Endothelial Cells" Nutrients Omega3 Omega6 LINK

"Assessing the potential of two customized fiber-optic probes for on-site analysis of bulk feed grains" LINK




Food & Feed

"Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy" Foods LINK




Other

"Review of New Spectroscopic Instrumentation 2019" LINK

"Development of an optical biosensor for the detection of Trypanosoma evansi and Plasmodium berghei." LINK





.

CalibrationModel.com

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

"Automated Analytical Method Development for NIRS. Software/Service Solution for Automation of Machine Learning for the NIR-Spectroscopy Domain." LINK

Do you use a near-infrared Spectrometer with Chemometric Methods? This will save you time NIR NIRS SWIR FTNIR LINK

Neue Möglichkeiten in der Entwicklung von Applikationen für die NIR-Analytik | Labor NIRS Analytik LaborAnalytik LINK

Rapid development of robust quantitative methods by near-infrared spectroscopy for NIR NIRS LINK

Spectroscopy and Chemometrics News Weekly 19, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 19, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 19, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK



This week's NIR news Weekly is sponsored by Your-Company-Name-Here - Best-NIR-instruments. Check out their product page ... link




Chemometrics

" Prediction of Intermuscular Fat of lamb topside in-situ using Near Infrared Spectroscopy" LINK

"Comparison of Unsupervised Algorithms for Vineyard Canopy Segmentation from UAV Multispectral Images" RemoteSensing LINK

"复烤片烟常规化学成分的傅里叶变换近红外光谱法的模型转移" "Model Transfer of Routine Chemical Components in Redried Lamina on Fourier Transform Near Infrared Spectroscopy" LINK

"血浆醇沉过程中近红外光谱在线蛋白含量监测及定量模型转移研究" "On-line protein content monitoring and quantitative model transfer in near-infrared spectroscopy during plasma alcohol deposition" LINK

"A Sparse Classification Based on a Linear Regression Method for Spectral Recognition" LINK

"Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics" LINK

"Rock lithological classification by hyperspectral, range 3D and color images" LINK

"Modeling of oil near-infrared spectroscopy based on similarity and transfer learning algorithm" LINK

"Recent advances in modeling vibrational spectra of food adulterants Theoretical simulation of IR and NIR bands of melamine" LINK

"Fine root lignin content is well predictable with near-infrared spectroscopy" LINK

"Study on identification of different producing areas of Gastrodia elata using multivariable selection and two-dimensional correlation spectroscopy of near infrared spectroscopy" LINK

"Discrimination of Trichosanthis Fructus from Different Geographical Origins Using Near Infrared Spectroscopy Coupled with Chemometric Techniques" LINK




Near Infrared

"FT-NIR spectroscopy coupled with multivariate analysis for detection of starch adulteration in turmeric powder." LINK

"< 전시-P-67> 근적외선 분광법에 의한 Fenton oxidation-열수처리 고형바이오매스 성분분석" "Analysis of chemical component of pretreated biomass by Fenton oxidation-hydrothermal treatment using near infrared spectroscopy" LINK

"Rapid and non-destructive analysis for the identification of multi-grain rice seeds with near-infrared spectroscopy." LINK

"Near infrared spectroscopy enables quantitative evaluation of human cartilage biomechanical properties during arthroscopy" LINK

"Near-Infrared Light Emitting Diode Based Non-Invasive Glucose Detection System" LINK

"Rapid bacteria selection using Aquaphotomics and near infrared spectroscopy" LINK

"Characterisation of organic colourants in ukiyo-e prints by Fourier transform near infrared fibre optics reflectance spectroscopy" LINK




Optics

"Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices." LINK




Environment

"Determining the significance of individual factors for orthogonal designs" LINK

"Exploring the Influence of Spatial Resolution on the Digital Mapping of Soil Organic Carbon by Airborne Hyperspectral VNIR Imaging" RemoteSensing LINK




Agriculture

"Determination of calcium and magnesium in the Solanaceae plant by near infrared spectroscopy combined with interval combination optimization algorithm" LINK

"The Effect of Omega-3 and Omega-6 Polyunsaturated Fatty Acids on the Production of Cyclooxygenase and Lipoxygenase Metabolites by Human Umbilical Vein Endothelial Cells" Nutrients Omega3 Omega6 LINK

"Assessing the potential of two customized fiber-optic probes for on-site analysis of bulk feed grains" LINK




Food & Feed

"Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy" Foods LINK




Other

"Review of New Spectroscopic Instrumentation 2019" LINK

"Development of an optical biosensor for the detection of Trypanosoma evansi and Plasmodium berghei." LINK





.

CalibrationModel.com

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

"Automated Analytical Method Development for NIRS. Software/Service Solution for Automation of Machine Learning for the NIR-Spectroscopy Domain." LINK

Do you use a near-infrared Spectrometer with Chemometric Methods? This will save you time NIR NIRS SWIR FTNIR LINK

Neue Möglichkeiten in der Entwicklung von Applikationen für die NIR-Analytik | Labor NIRS Analytik LaborAnalytik LINK

Rapid development of robust quantitative methods by near-infrared spectroscopy for NIR NIRS LINK

Spectroscopy and Chemometrics News Weekly 19, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 19, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 19, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK



This week's NIR news Weekly is sponsored by Your-Company-Name-Here - Best-NIR-instruments. Check out their product page ... link




Chemometrics

" Prediction of Intermuscular Fat of lamb topside in-situ using Near Infrared Spectroscopy" LINK

"Comparison of Unsupervised Algorithms for Vineyard Canopy Segmentation from UAV Multispectral Images" RemoteSensing LINK

"复烤片烟常规化学成分的傅里叶变换近红外光谱法的模型转移" "Model Transfer of Routine Chemical Components in Redried Lamina on Fourier Transform Near Infrared Spectroscopy" LINK

"血浆醇沉过程中近红外光谱在线蛋白含量监测及定量模型转移研究" "On-line protein content monitoring and quantitative model transfer in near-infrared spectroscopy during plasma alcohol deposition" LINK

"A Sparse Classification Based on a Linear Regression Method for Spectral Recognition" LINK

"Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics" LINK

"Rock lithological classification by hyperspectral, range 3D and color images" LINK

"Modeling of oil near-infrared spectroscopy based on similarity and transfer learning algorithm" LINK

"Recent advances in modeling vibrational spectra of food adulterants Theoretical simulation of IR and NIR bands of melamine" LINK

"Fine root lignin content is well predictable with near-infrared spectroscopy" LINK

"Study on identification of different producing areas of Gastrodia elata using multivariable selection and two-dimensional correlation spectroscopy of near infrared spectroscopy" LINK

"Discrimination of Trichosanthis Fructus from Different Geographical Origins Using Near Infrared Spectroscopy Coupled with Chemometric Techniques" LINK




Near Infrared

"FT-NIR spectroscopy coupled with multivariate analysis for detection of starch adulteration in turmeric powder." LINK

"< 전시-P-67> 근적외선 분광법에 의한 Fenton oxidation-열수처리 고형바이오매스 성분분석" "Analysis of chemical component of pretreated biomass by Fenton oxidation-hydrothermal treatment using near infrared spectroscopy" LINK

"Rapid and non-destructive analysis for the identification of multi-grain rice seeds with near-infrared spectroscopy." LINK

"Near infrared spectroscopy enables quantitative evaluation of human cartilage biomechanical properties during arthroscopy" LINK

"Near-Infrared Light Emitting Diode Based Non-Invasive Glucose Detection System" LINK

"Rapid bacteria selection using Aquaphotomics and near infrared spectroscopy" LINK

"Characterisation of organic colourants in ukiyo-e prints by Fourier transform near infrared fibre optics reflectance spectroscopy" LINK




Optics

"Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices." LINK




Environment

"Determining the significance of individual factors for orthogonal designs" LINK

"Exploring the Influence of Spatial Resolution on the Digital Mapping of Soil Organic Carbon by Airborne Hyperspectral VNIR Imaging" RemoteSensing LINK




Agriculture

"Determination of calcium and magnesium in the Solanaceae plant by near infrared spectroscopy combined with interval combination optimization algorithm" LINK

"The Effect of Omega-3 and Omega-6 Polyunsaturated Fatty Acids on the Production of Cyclooxygenase and Lipoxygenase Metabolites by Human Umbilical Vein Endothelial Cells" Nutrients Omega3 Omega6 LINK

"Assessing the potential of two customized fiber-optic probes for on-site analysis of bulk feed grains" LINK




Food & Feed

"Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy" Foods LINK




Other

"Review of New Spectroscopic Instrumentation 2019" LINK

"Development of an optical biosensor for the detection of Trypanosoma evansi and Plasmodium berghei." LINK





.

Spectroscopy and Chemometrics News Weekly #19, 2019Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #19, 2019Spettroscopia e Chemiometria Weekly News #19, 2019

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 18, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 18, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Labor LINK

Spettroscopia e Chemiometria Weekly News 18, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK

This week's NIR news Weekly is sponsored by YourCompanyNameHere - BestNIRinstruments. Check out their product page ... link




Chemometrics

"Correlation between the composition of green Arabica coffee beans and the sensory quality of coffee brews" LINK

"High accuracy deternimation of Angelica dahurica origin based on near infrared spectroscopy and random forest pruning algorithm" LINK

"Rapid analysis of the Tanreqing injection by near-infrared spectroscopy combined with least squares support vector machine and Gaussian process modeling techniques." LINK

"Classification and Identification of Pesticide Residues in Cucumber Based on Near Infrared Spectroscopy" LINK

"Analytical strategies based on near infrared spectroscopy and multivariate calibration for rapid quantification of florfenicol at low-concentrations in medicated-feed pellets" LINK

"Lighting the Ivory Track: Are Near Infrared and Chemometrics Up to the Job? A Proof of Concept" LINK

"NIR spectroscopy-multivariate analysis for discrimination and bioactive compounds prediction of different Citrus species peels" | /> LINK

"Fast and Non-Destructive Prediction of Moisture Content and Chologenic Acid of Intact Coffee Beans Using Near Infrared Reflectance Spectroscopy" LINK

"Characterization of Edible Oils Using NIR Spectroscopy and Chemometric Methods" LINK

"A diffuse reflectance NIR spectroscopy method for determine drug concentration in pharmaceutical production tablets based on a PLS calibration model from manufactured tablets" LINK




Near Infrared (NIR) Spectroscopy

"Estimating forest soil organic carbon content using vis-NIR spectroscopy: Implications for large-scale soil carbon spectroscopic assessment" LINK

"Multivariate data analysis of near-infrared spectra of cultivation medium powders for mammalian cells" LINK

"Rapid-Detection Sensor for Rice Grain Moisture Based on NIR Spectroscopy" LINK

"REC-NIR-BLACK carbon-black free masterbatch provides a second life for black plastic packaging by allowing scanning by near-infrared technology for automated sorting at recovery facilities." LINK

"Near-infrared spectroscopy for food quality evaluation" LINK

"Near infrared spectroscopy as an alternative method for rapid determination of the solidification point of 2,4,6-trinitrotoluene in production" TNT LINK

"Spectral noise-to-signal ratio priority method with application for visible and near-infrared analysis of whole blood viscosity" LINK




Spectral Imaging

"Multispectral Approach for Identifying Invasive Plant Species Based on Flowering Phenology Characteristics" Remote Sensing LINK




Equipment

"Comparative performance of bench and portable near infrared spectrometers for measuring wood samples of two Eucalyptus species (E. pellita and E. benthamii)" LINK

"Non-destructive determination of silymarin in Silybum marianum extracts with a handheld near infrared spectrometer" LINK




Food & Feed

"A rapid classification of wheat flour protein content using artificial neural network model based on bioelectrical properties" LINK




Laboratory

"Non-destructive Methods to Determine Ripening Quality of Intact Muskmelon" LINK





.

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 18, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 18, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Labor LINK

Spettroscopia e Chemiometria Weekly News 18, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK

This week's NIR news Weekly is sponsored by YourCompanyNameHere - BestNIRinstruments. Check out their product page ... link




Chemometrics

"Correlation between the composition of green Arabica coffee beans and the sensory quality of coffee brews" LINK

"High accuracy deternimation of Angelica dahurica origin based on near infrared spectroscopy and random forest pruning algorithm" LINK

"Rapid analysis of the Tanreqing injection by near-infrared spectroscopy combined with least squares support vector machine and Gaussian process modeling techniques." LINK

"Classification and Identification of Pesticide Residues in Cucumber Based on Near Infrared Spectroscopy" LINK

"Analytical strategies based on near infrared spectroscopy and multivariate calibration for rapid quantification of florfenicol at low-concentrations in medicated-feed pellets" LINK

"Lighting the Ivory Track: Are Near Infrared and Chemometrics Up to the Job? A Proof of Concept" LINK

"NIR spectroscopy-multivariate analysis for discrimination and bioactive compounds prediction of different Citrus species peels" | /> LINK

"Fast and Non-Destructive Prediction of Moisture Content and Chologenic Acid of Intact Coffee Beans Using Near Infrared Reflectance Spectroscopy" LINK

"Characterization of Edible Oils Using NIR Spectroscopy and Chemometric Methods" LINK

"A diffuse reflectance NIR spectroscopy method for determine drug concentration in pharmaceutical production tablets based on a PLS calibration model from manufactured tablets" LINK




Near Infrared (NIR) Spectroscopy

"Estimating forest soil organic carbon content using vis-NIR spectroscopy: Implications for large-scale soil carbon spectroscopic assessment" LINK

"Multivariate data analysis of near-infrared spectra of cultivation medium powders for mammalian cells" LINK

"Rapid-Detection Sensor for Rice Grain Moisture Based on NIR Spectroscopy" LINK

"REC-NIR-BLACK carbon-black free masterbatch provides a second life for black plastic packaging by allowing scanning by near-infrared technology for automated sorting at recovery facilities." LINK

"Near-infrared spectroscopy for food quality evaluation" LINK

"Near infrared spectroscopy as an alternative method for rapid determination of the solidification point of 2,4,6-trinitrotoluene in production" TNT LINK

"Spectral noise-to-signal ratio priority method with application for visible and near-infrared analysis of whole blood viscosity" LINK




Spectral Imaging

"Multispectral Approach for Identifying Invasive Plant Species Based on Flowering Phenology Characteristics" Remote Sensing LINK




Equipment

"Comparative performance of bench and portable near infrared spectrometers for measuring wood samples of two Eucalyptus species (E. pellita and E. benthamii)" LINK

"Non-destructive determination of silymarin in Silybum marianum extracts with a handheld near infrared spectrometer" LINK




Food & Feed

"A rapid classification of wheat flour protein content using artificial neural network model based on bioelectrical properties" LINK




Laboratory

"Non-destructive Methods to Determine Ripening Quality of Intact Muskmelon" LINK





.

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 18, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 18, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Labor LINK

Spettroscopia e Chemiometria Weekly News 18, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK

This week's NIR news Weekly is sponsored by YourCompanyNameHere - BestNIRinstruments. Check out their product page ... link




Chemometrics

"Correlation between the composition of green Arabica coffee beans and the sensory quality of coffee brews" LINK

"High accuracy deternimation of Angelica dahurica origin based on near infrared spectroscopy and random forest pruning algorithm" LINK

"Rapid analysis of the Tanreqing injection by near-infrared spectroscopy combined with least squares support vector machine and Gaussian process modeling techniques." LINK

"Classification and Identification of Pesticide Residues in Cucumber Based on Near Infrared Spectroscopy" LINK

"Analytical strategies based on near infrared spectroscopy and multivariate calibration for rapid quantification of florfenicol at low-concentrations in medicated-feed pellets" LINK

"Lighting the Ivory Track: Are Near Infrared and Chemometrics Up to the Job? A Proof of Concept" LINK

"NIR spectroscopy-multivariate analysis for discrimination and bioactive compounds prediction of different Citrus species peels" | /> LINK

"Fast and Non-Destructive Prediction of Moisture Content and Chologenic Acid of Intact Coffee Beans Using Near Infrared Reflectance Spectroscopy" LINK

"Characterization of Edible Oils Using NIR Spectroscopy and Chemometric Methods" LINK

"A diffuse reflectance NIR spectroscopy method for determine drug concentration in pharmaceutical production tablets based on a PLS calibration model from manufactured tablets" LINK




Near Infrared (NIR) Spectroscopy

"Estimating forest soil organic carbon content using vis-NIR spectroscopy: Implications for large-scale soil carbon spectroscopic assessment" LINK

"Multivariate data analysis of near-infrared spectra of cultivation medium powders for mammalian cells" LINK

"Rapid-Detection Sensor for Rice Grain Moisture Based on NIR Spectroscopy" LINK

"REC-NIR-BLACK carbon-black free masterbatch provides a second life for black plastic packaging by allowing scanning by near-infrared technology for automated sorting at recovery facilities." LINK

"Near-infrared spectroscopy for food quality evaluation" LINK

"Near infrared spectroscopy as an alternative method for rapid determination of the solidification point of 2,4,6-trinitrotoluene in production" TNT LINK

"Spectral noise-to-signal ratio priority method with application for visible and near-infrared analysis of whole blood viscosity" LINK




Spectral Imaging

"Multispectral Approach for Identifying Invasive Plant Species Based on Flowering Phenology Characteristics" Remote Sensing LINK




Equipment

"Comparative performance of bench and portable near infrared spectrometers for measuring wood samples of two Eucalyptus species (E. pellita and E. benthamii)" LINK

"Non-destructive determination of silymarin in Silybum marianum extracts with a handheld near infrared spectrometer" LINK




Food & Feed

"A rapid classification of wheat flour protein content using artificial neural network model based on bioelectrical properties" LINK




Laboratory

"Non-destructive Methods to Determine Ripening Quality of Intact Muskmelon" LINK





.

Spectroscopy and Chemometrics News Weekly #18, 2019Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #18, 2019Spettroscopia e Chemiometria Weekly News #18, 2019

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 17, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 17, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 17, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità LINK

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

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - Best-NIR-instruments. Check out their product page ... link




Chemometrics

"Comparison and rapid prediction of lignocellulose and organic elements of a wide variety of rice straw based on near infrared spectroscopy" LINK

"Rapid Determination of Green Tea Origins by Near-Infrared Spectroscopy and Multi-Wavelength Statistical Discriminant Analysis" LINK

"Automated Chinese medicinal plants classification based on machine learning using leaf morpho-colorimetry, fractal dimension and visible/near infrared spectroscopy" LINK

"Monitoring model for predicting maize moisture content at the grain-filling stage using near-infrared spectroscopy and a small sample size" LINK

"Near-infrared-based models for lignin syringyl/guaiacyl ratio of Eucalyptus benthamii and E. pellita using a streamlined thioacidolysis procedure as the reference method" LINK

"Arthroscopic Near-Infrared Spectroscopic Prediction of Human Meniscus Properties" LINK

"变量优选补正算法的鲜枣可溶性固形物检测模型传递方法研究" 变量优选补正算法的鲜枣可溶性固形物检测模型传递方法研究 Model Transfer Method of Fresh Jujube Soluble Solids Detection Using Variables Optimization and Correction Algorithms LINK

New software article published in | No excuse for not using realistic noise when evaluating proposed algorithms anymore! chemometrics machinelearning statistics LINK

"Fine root lignin content is well predictable with near-infrared spectroscopy." LINK




Near Infrared

"Abundance and composition of kaolinite on Mars: Information from NIR spectra of rocks from acid-alteration environments, Riotinto, SE Spain" LINK

"Distinct Difference in Sensitivity of NIR vs. IR Bands of Melamine to Inter-Molecular Interactions with Impact on Analytical Spectroscopy Explained by Anharmonic Quantum Mechanical Study" LINK

" Association Between Near Infrared Spectroskopy (NIRS) and Normobaric and Hyperbaric Oxygen Treatment in Acute Carbon Monoxide Poisoning" LINK

"Sensors, Vol. 19, Pages 2076: Towards Integrated Mid-Infrared Gas Sensors" LINK

"Detection of Acrylamide in Food Using Near Infrared Spectroscopy" LINK

"Determination of natural rubber and resin content of guayule fresh biomass by near infrared spectroscopy" LINK

"Automated Preprocessing of Near Infrared Spectroscopic Data" LINK

"Evaluation of a low-cost portable near-infrared spectrophotometer for in situ cocaine profiling." LINK

"Application of a Fourier transformnear infrared reflectance spectroscopy method for the rapid proximate analysis of the greenshell mussel (Perna canaliculus) and king (Chinook) salmon (Oncorhynchus tshawytscha)" LINK

" Assessment of the chemical change in heat treated pine wood by near infrared spectroscopy" LINK

"Characterisation of organic colourants in ukiyo-e prints by Fourier transform near infrared fibre optics reflectance spectroscopy" LINK

" Plastic Solid Waste identification system based on Near Infrared Spectroscopy in combination with support vector machine" LINK

"Development and application of Fourier transform infrared spectroscopy for detection of milk adulteration in practice" FTIR LINK

"Near-Infrared Light Emitting Diode Based Non-Invasive Glucose Detection System." LINK

"Determination of cellulose, hemicellulose and lignin content using near-infrared spectroscopy in flax fiber" LINK




Raman

"Raman spectroscopic discrimination of normal and cancerous lung tissues." LINK




Spectral Imaging

"A new low-cost portable multispectral optical device for precise plant status assessment" LINK

"Evaluation of Fire Severity Indices Based on Pre- and Post-Fire Multispectral Imagery Sensed from UAV" Remote Sensing LINK




Equipment

"On site monitoring of Grana Padano cheese production using portable spectrometers" LINK




Agriculture

"Assessing the potential of two customized fiber-optic probes for on-site analysis of bulk feed grains" LINK

"A Cost Effective and Field Deployable System for Soil Macronutrient Analysis Based on Near-Infrared Reflectance Spectroscopy" LINK




Food & Feed

"Freshness Evaluation in Chub Mackerel (Scomber japonicus) Using Near-Infrared Spectroscopy Determination of the Cadaverine Content." Fish Fisheries FoodSafety FoodProtection LINK




Pharma

"An update on contribution of hot-melt extrusion technology to novel drug delivery in the 21st century: part I" LINK




Other

" Evaluación de dos atributos de calidad críticos en la producción de formas farmacéuticas sólidas utilizando la espectroscopia de infrarrojo cercano" LINK





CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 17, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 17, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 17, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità LINK

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

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - Best-NIR-instruments. Check out their product page ... link




Chemometrics

"Comparison and rapid prediction of lignocellulose and organic elements of a wide variety of rice straw based on near infrared spectroscopy" LINK

"Rapid Determination of Green Tea Origins by Near-Infrared Spectroscopy and Multi-Wavelength Statistical Discriminant Analysis" LINK

"Automated Chinese medicinal plants classification based on machine learning using leaf morpho-colorimetry, fractal dimension and visible/near infrared spectroscopy" LINK

"Monitoring model for predicting maize moisture content at the grain-filling stage using near-infrared spectroscopy and a small sample size" LINK

"Near-infrared-based models for lignin syringyl/guaiacyl ratio of Eucalyptus benthamii and E. pellita using a streamlined thioacidolysis procedure as the reference method" LINK

"Arthroscopic Near-Infrared Spectroscopic Prediction of Human Meniscus Properties" LINK

"变量优选补正算法的鲜枣可溶性固形物检测模型传递方法研究" 变量优选补正算法的鲜枣可溶性固形物检测模型传递方法研究 Model Transfer Method of Fresh Jujube Soluble Solids Detection Using Variables Optimization and Correction Algorithms LINK

New software article published in | No excuse for not using realistic noise when evaluating proposed algorithms anymore! chemometrics machinelearning statistics LINK

"Fine root lignin content is well predictable with near-infrared spectroscopy." LINK




Near Infrared

"Abundance and composition of kaolinite on Mars: Information from NIR spectra of rocks from acid-alteration environments, Riotinto, SE Spain" LINK

"Distinct Difference in Sensitivity of NIR vs. IR Bands of Melamine to Inter-Molecular Interactions with Impact on Analytical Spectroscopy Explained by Anharmonic Quantum Mechanical Study" LINK

" Association Between Near Infrared Spectroskopy (NIRS) and Normobaric and Hyperbaric Oxygen Treatment in Acute Carbon Monoxide Poisoning" LINK

"Sensors, Vol. 19, Pages 2076: Towards Integrated Mid-Infrared Gas Sensors" LINK

"Detection of Acrylamide in Food Using Near Infrared Spectroscopy" LINK

"Determination of natural rubber and resin content of guayule fresh biomass by near infrared spectroscopy" LINK

"Automated Preprocessing of Near Infrared Spectroscopic Data" LINK

"Evaluation of a low-cost portable near-infrared spectrophotometer for in situ cocaine profiling." LINK

"Application of a Fourier transformnear infrared reflectance spectroscopy method for the rapid proximate analysis of the greenshell mussel (Perna canaliculus) and king (Chinook) salmon (Oncorhynchus tshawytscha)" LINK

" Assessment of the chemical change in heat treated pine wood by near infrared spectroscopy" LINK

"Characterisation of organic colourants in ukiyo-e prints by Fourier transform near infrared fibre optics reflectance spectroscopy" LINK

" Plastic Solid Waste identification system based on Near Infrared Spectroscopy in combination with support vector machine" LINK

"Development and application of Fourier transform infrared spectroscopy for detection of milk adulteration in practice" FTIR LINK

"Near-Infrared Light Emitting Diode Based Non-Invasive Glucose Detection System." LINK

"Determination of cellulose, hemicellulose and lignin content using near-infrared spectroscopy in flax fiber" LINK




Raman

"Raman spectroscopic discrimination of normal and cancerous lung tissues." LINK




Spectral Imaging

"A new low-cost portable multispectral optical device for precise plant status assessment" LINK

"Evaluation of Fire Severity Indices Based on Pre- and Post-Fire Multispectral Imagery Sensed from UAV" Remote Sensing LINK




Equipment

"On site monitoring of Grana Padano cheese production using portable spectrometers" LINK




Agriculture

"Assessing the potential of two customized fiber-optic probes for on-site analysis of bulk feed grains" LINK

"A Cost Effective and Field Deployable System for Soil Macronutrient Analysis Based on Near-Infrared Reflectance Spectroscopy" LINK




Food & Feed

"Freshness Evaluation in Chub Mackerel (Scomber japonicus) Using Near-Infrared Spectroscopy Determination of the Cadaverine Content." Fish Fisheries FoodSafety FoodProtection LINK




Pharma

"An update on contribution of hot-melt extrusion technology to novel drug delivery in the 21st century: part I" LINK




Other

" Evaluación de dos atributos de calidad críticos en la producción de formas farmacéuticas sólidas utilizando la espectroscopia de infrarrojo cercano" LINK





CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 17, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 17, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 17, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità LINK

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

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - Best-NIR-instruments. Check out their product page ... link




Chemometrics

"Comparison and rapid prediction of lignocellulose and organic elements of a wide variety of rice straw based on near infrared spectroscopy" LINK

"Rapid Determination of Green Tea Origins by Near-Infrared Spectroscopy and Multi-Wavelength Statistical Discriminant Analysis" LINK

"Automated Chinese medicinal plants classification based on machine learning using leaf morpho-colorimetry, fractal dimension and visible/near infrared spectroscopy" LINK

"Monitoring model for predicting maize moisture content at the grain-filling stage using near-infrared spectroscopy and a small sample size" LINK

"Near-infrared-based models for lignin syringyl/guaiacyl ratio of Eucalyptus benthamii and E. pellita using a streamlined thioacidolysis procedure as the reference method" LINK

"Arthroscopic Near-Infrared Spectroscopic Prediction of Human Meniscus Properties" LINK

"变量优选补正算法的鲜枣可溶性固形物检测模型传递方法研究" 变量优选补正算法的鲜枣可溶性固形物检测模型传递方法研究 Model Transfer Method of Fresh Jujube Soluble Solids Detection Using Variables Optimization and Correction Algorithms LINK

New software article published in | No excuse for not using realistic noise when evaluating proposed algorithms anymore! chemometrics machinelearning statistics LINK

"Fine root lignin content is well predictable with near-infrared spectroscopy." LINK




Near Infrared

"Abundance and composition of kaolinite on Mars: Information from NIR spectra of rocks from acid-alteration environments, Riotinto, SE Spain" LINK

"Distinct Difference in Sensitivity of NIR vs. IR Bands of Melamine to Inter-Molecular Interactions with Impact on Analytical Spectroscopy Explained by Anharmonic Quantum Mechanical Study" LINK

" Association Between Near Infrared Spectroskopy (NIRS) and Normobaric and Hyperbaric Oxygen Treatment in Acute Carbon Monoxide Poisoning" LINK

"Sensors, Vol. 19, Pages 2076: Towards Integrated Mid-Infrared Gas Sensors" LINK

"Detection of Acrylamide in Food Using Near Infrared Spectroscopy" LINK

"Determination of natural rubber and resin content of guayule fresh biomass by near infrared spectroscopy" LINK

"Automated Preprocessing of Near Infrared Spectroscopic Data" LINK

"Evaluation of a low-cost portable near-infrared spectrophotometer for in situ cocaine profiling." LINK

"Application of a Fourier transformnear infrared reflectance spectroscopy method for the rapid proximate analysis of the greenshell mussel (Perna canaliculus) and king (Chinook) salmon (Oncorhynchus tshawytscha)" LINK

" Assessment of the chemical change in heat treated pine wood by near infrared spectroscopy" LINK

"Characterisation of organic colourants in ukiyo-e prints by Fourier transform near infrared fibre optics reflectance spectroscopy" LINK

" Plastic Solid Waste identification system based on Near Infrared Spectroscopy in combination with support vector machine" LINK

"Development and application of Fourier transform infrared spectroscopy for detection of milk adulteration in practice" FTIR LINK

"Near-Infrared Light Emitting Diode Based Non-Invasive Glucose Detection System." LINK

"Determination of cellulose, hemicellulose and lignin content using near-infrared spectroscopy in flax fiber" LINK




Raman

"Raman spectroscopic discrimination of normal and cancerous lung tissues." LINK




Spectral Imaging

"A new low-cost portable multispectral optical device for precise plant status assessment" LINK

"Evaluation of Fire Severity Indices Based on Pre- and Post-Fire Multispectral Imagery Sensed from UAV" Remote Sensing LINK




Equipment

"On site monitoring of Grana Padano cheese production using portable spectrometers" LINK




Agriculture

"Assessing the potential of two customized fiber-optic probes for on-site analysis of bulk feed grains" LINK

"A Cost Effective and Field Deployable System for Soil Macronutrient Analysis Based on Near-Infrared Reflectance Spectroscopy" LINK




Food & Feed

"Freshness Evaluation in Chub Mackerel (Scomber japonicus) Using Near-Infrared Spectroscopy Determination of the Cadaverine Content." Fish Fisheries FoodSafety FoodProtection LINK




Pharma

"An update on contribution of hot-melt extrusion technology to novel drug delivery in the 21st century: part I" LINK




Other

" Evaluación de dos atributos de calidad críticos en la producción de formas farmacéuticas sólidas utilizando la espectroscopia de infrarrojo cercano" LINK





Spectroscopy and Chemometrics News Weekly #17, 2019Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #17, 2019Spettroscopia e Chemiometria Weekly News #17, 2019

CalibrationModel.com

"Automated Analytical Method Development for NIRS. Software/Service Solution for Automation of Machine Learning for the NIR-Spectroscopy Domain." LINK

Develop near infrared spectroscopy applications & freeing up hours of analysts time QAQC QualityManager QualityAssurance LINK

Do you use NIR Spectroscopy for Quality Control? You need to know | GLP GMP QbD PAT OQ PQ pauto testing labs LINK

Increase Your Profit with optimized NIR Accuracy QA QC Food Feed Lab Agriculture crop grain soybean LINK

NIR Machine Learning as a Service, a Game Changer for Productivity and Accuracy/Precision! ( NIRS Spectroscopy AI MLaaS ) LINK

Spectroscopy and Chemometrics News Weekly 16, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 16, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Lab LINK

Spettroscopia e Chemiometria Weekly News 16, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità LINK

These are the "pigments" we have in our NIR application database LINK

We develop Near-Infrared (NIR) Spectroscopy Calibration Models and Software for Chemical Physical Parameter Analysis of Food, Feed, Process ... IoT Sensors | NIRS Analytical Laboratory Lab Analysis QC LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - Best-NIR-spectrometer. Check out their product page ... link




Chemometrics

"Study on identification of different producing areas of Gastrodia elata using multivariable selection and two-dimensional correlation spectroscopy of near infrared spectroscopy." LINK

"Evaluating matcha tea quality index using portable NIR spectroscopy coupled chemometric algorithms" LINK

"A transferable spectroscopic diagnosis model for predicting arsenic contamination in soil." LINK

"Evaluating matcha tea quality index using portable NIR spectroscopy coupled chemometric algorithms." LINK

"Cultivar Classification of Single Sweet Corn Seed Using Fourier Transform Near-Infrared Spectroscopy Combined with Discriminant Analysis" LINK

"Comparative nondestructive classification of partial waxy wheats using near-infrared (NIR) and Raman spectroscopy" LINK




Near Infrared

"Cr3+Doped Broadband NIR Garnet Phosphor with Enhanced Luminescence and its Application in NIR Spectroscopy" LINK

"In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties" LINK

"High-Throughput Biochemical Fingerprinting of Oleaginous Aurantiochytrium sp. Strains by Fourier Transform Infrared Spectroscopy (FT-IR) for Lipid and Carbohydrate Productions" LINK

"On-line detection of toxigenic fungal infection in wheat by visible/near infrared spectroscopy" LINK

"Shortwave Near-Infrared Spectroscopy for Rapid Detection of Aflatoxin B1 Contamination in Polished Rice." LINK

"Detection of cracked shell in intact aromatic young coconut using near infrared spectroscopy and acoustic response methods" LINK

"ASSESSMENT OF THE CHEMICAL CHANGE IN HEAT TREATED PINE WOOD BY NEAR INFRARED SPECTROSCOPY " LINK




Raman

Microscope-less lab-on-a-chip Raman spectroscopy of cell membranes | TW05 LINK

"Analysis of Cellulose and Lignocellulose Materials by Raman Spectroscopy: A Review of the Current Status" Molecules LINK




Hyperspectral

Simultaneous Hyperspectral Imaging & LiDAR Sensing Platform LINK




Process Control

"Feedforward and Feedback Control of a Pharmaceutical Coating Process" LINK




Agriculture

"Evaluation of the Optimum Harvesting Maturity of Makhwaen Fruit for the Perfumery Industry" Agriculture LINK

"Foods, Vol. 8, Pages 126: Physicochemical Properties and Pollen Profile of Oak Honeydew and Evergreen Oak Honeydew Honeys from Spain: A Comparative Study" LINK

"Early Visual Detection of Wheat Stripe Rust Using Visible/Near-Infrared Hyperspectral Imaging." LINK

"Foods, Vol. 8, Pages 137: Influence of Supplemental Feed Choice for Pasture-Based Cows on the Fatty Acid and Volatile Profile of Milk" LINK




Food & Feed

"Grape and juice handling: Assessing the use of visible and near infrared spectroscopy to rapidly evaluate the health status of grapes entering wineries" LINK




Pharma

"A rapid and non-destructive method for simultaneous determination of aflatoxigenic fungus and aflatoxin contamination on corn kernels." LINK




Laboratory

"A Strategy to Assess Quality Consistency of Drug Products." LINK

"Outsourcing Spectroscopic Analysis?" laboratory spectrometer Lab LINK




Other

"Classifying with confidence using Bayes rule and kernel density estimation" LINK

"Reestablishment of Protium cordatum (Burseraceae) based on integrative taxonomy" LINK

AI Trained on Decades of Food Research Is Making Brand-New Foods | by MachineLearning DeepLearning Cc LINK




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





CalibrationModel.com

"Automated Analytical Method Development for NIRS. Software/Service Solution for Automation of Machine Learning for the NIR-Spectroscopy Domain." LINK

Develop near infrared spectroscopy applications & freeing up hours of analysts time QAQC QualityManager QualityAssurance LINK

Do you use NIR Spectroscopy for Quality Control? You need to know | GLP GMP QbD PAT OQ PQ pauto testing labs LINK

Increase Your Profit with optimized NIR Accuracy QA QC Food Feed Lab Agriculture crop grain soybean LINK

NIR Machine Learning as a Service, a Game Changer for Productivity and Accuracy/Precision! ( NIRS Spectroscopy AI MLaaS ) LINK

Spectroscopy and Chemometrics News Weekly 16, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 16, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Lab LINK

Spettroscopia e Chemiometria Weekly News 16, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità LINK

These are the "pigments" we have in our NIR application database LINK

We develop Near-Infrared (NIR) Spectroscopy Calibration Models and Software for Chemical Physical Parameter Analysis of Food, Feed, Process ... IoT Sensors | NIRS Analytical Laboratory Lab Analysis QC LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - Best-NIR-spectrometer. Check out their product page ... link




Chemometrics

"Study on identification of different producing areas of Gastrodia elata using multivariable selection and two-dimensional correlation spectroscopy of near infrared spectroscopy." LINK

"Evaluating matcha tea quality index using portable NIR spectroscopy coupled chemometric algorithms" LINK

"A transferable spectroscopic diagnosis model for predicting arsenic contamination in soil." LINK

"Evaluating matcha tea quality index using portable NIR spectroscopy coupled chemometric algorithms." LINK

"Cultivar Classification of Single Sweet Corn Seed Using Fourier Transform Near-Infrared Spectroscopy Combined with Discriminant Analysis" LINK

"Comparative nondestructive classification of partial waxy wheats using near-infrared (NIR) and Raman spectroscopy" LINK




Near Infrared

"Cr3+Doped Broadband NIR Garnet Phosphor with Enhanced Luminescence and its Application in NIR Spectroscopy" LINK

"In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties" LINK

"High-Throughput Biochemical Fingerprinting of Oleaginous Aurantiochytrium sp. Strains by Fourier Transform Infrared Spectroscopy (FT-IR) for Lipid and Carbohydrate Productions" LINK

"On-line detection of toxigenic fungal infection in wheat by visible/near infrared spectroscopy" LINK

"Shortwave Near-Infrared Spectroscopy for Rapid Detection of Aflatoxin B1 Contamination in Polished Rice." LINK

"Detection of cracked shell in intact aromatic young coconut using near infrared spectroscopy and acoustic response methods" LINK

"ASSESSMENT OF THE CHEMICAL CHANGE IN HEAT TREATED PINE WOOD BY NEAR INFRARED SPECTROSCOPY " LINK




Raman

Microscope-less lab-on-a-chip Raman spectroscopy of cell membranes | TW05 LINK

"Analysis of Cellulose and Lignocellulose Materials by Raman Spectroscopy: A Review of the Current Status" Molecules LINK




Hyperspectral

Simultaneous Hyperspectral Imaging & LiDAR Sensing Platform LINK




Process Control

"Feedforward and Feedback Control of a Pharmaceutical Coating Process" LINK




Agriculture

"Evaluation of the Optimum Harvesting Maturity of Makhwaen Fruit for the Perfumery Industry" Agriculture LINK

"Foods, Vol. 8, Pages 126: Physicochemical Properties and Pollen Profile of Oak Honeydew and Evergreen Oak Honeydew Honeys from Spain: A Comparative Study" LINK

"Early Visual Detection of Wheat Stripe Rust Using Visible/Near-Infrared Hyperspectral Imaging." LINK

"Foods, Vol. 8, Pages 137: Influence of Supplemental Feed Choice for Pasture-Based Cows on the Fatty Acid and Volatile Profile of Milk" LINK




Food & Feed

"Grape and juice handling: Assessing the use of visible and near infrared spectroscopy to rapidly evaluate the health status of grapes entering wineries" LINK




Pharma

"A rapid and non-destructive method for simultaneous determination of aflatoxigenic fungus and aflatoxin contamination on corn kernels." LINK




Laboratory

"A Strategy to Assess Quality Consistency of Drug Products." LINK

"Outsourcing Spectroscopic Analysis?" laboratory spectrometer Lab LINK




Other

"Classifying with confidence using Bayes rule and kernel density estimation" LINK

"Reestablishment of Protium cordatum (Burseraceae) based on integrative taxonomy" LINK

AI Trained on Decades of Food Research Is Making Brand-New Foods | by MachineLearning DeepLearning Cc LINK




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





CalibrationModel.com

"Automated Analytical Method Development for NIRS. Software/Service Solution for Automation of Machine Learning for the NIR-Spectroscopy Domain." LINK

Develop near infrared spectroscopy applications & freeing up hours of analysts time QAQC QualityManager QualityAssurance LINK

Do you use NIR Spectroscopy for Quality Control? You need to know | GLP GMP QbD PAT OQ PQ pauto testing labs LINK

Increase Your Profit with optimized NIR Accuracy QA QC Food Feed Lab Agriculture crop grain soybean LINK

NIR Machine Learning as a Service, a Game Changer for Productivity and Accuracy/Precision! ( NIRS Spectroscopy AI MLaaS ) LINK

Spectroscopy and Chemometrics News Weekly 16, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 16, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Lab LINK

Spettroscopia e Chemiometria Weekly News 16, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità LINK

These are the "pigments" we have in our NIR application database LINK

We develop Near-Infrared (NIR) Spectroscopy Calibration Models and Software for Chemical Physical Parameter Analysis of Food, Feed, Process ... IoT Sensors | NIRS Analytical Laboratory Lab Analysis QC LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - Best-NIR-spectrometer. Check out their product page ... link




Chemometrics

"Study on identification of different producing areas of Gastrodia elata using multivariable selection and two-dimensional correlation spectroscopy of near infrared spectroscopy." LINK

"Evaluating matcha tea quality index using portable NIR spectroscopy coupled chemometric algorithms" LINK

"A transferable spectroscopic diagnosis model for predicting arsenic contamination in soil." LINK

"Evaluating matcha tea quality index using portable NIR spectroscopy coupled chemometric algorithms." LINK

"Cultivar Classification of Single Sweet Corn Seed Using Fourier Transform Near-Infrared Spectroscopy Combined with Discriminant Analysis" LINK

"Comparative nondestructive classification of partial waxy wheats using near-infrared (NIR) and Raman spectroscopy" LINK




Near Infrared

"Cr3+Doped Broadband NIR Garnet Phosphor with Enhanced Luminescence and its Application in NIR Spectroscopy" LINK

"In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties" LINK

"High-Throughput Biochemical Fingerprinting of Oleaginous Aurantiochytrium sp. Strains by Fourier Transform Infrared Spectroscopy (FT-IR) for Lipid and Carbohydrate Productions" LINK

"On-line detection of toxigenic fungal infection in wheat by visible/near infrared spectroscopy" LINK

"Shortwave Near-Infrared Spectroscopy for Rapid Detection of Aflatoxin B1 Contamination in Polished Rice." LINK

"Detection of cracked shell in intact aromatic young coconut using near infrared spectroscopy and acoustic response methods" LINK

"ASSESSMENT OF THE CHEMICAL CHANGE IN HEAT TREATED PINE WOOD BY NEAR INFRARED SPECTROSCOPY " LINK




Raman

Microscope-less lab-on-a-chip Raman spectroscopy of cell membranes | TW05 LINK

"Analysis of Cellulose and Lignocellulose Materials by Raman Spectroscopy: A Review of the Current Status" Molecules LINK




Hyperspectral

Simultaneous Hyperspectral Imaging & LiDAR Sensing Platform LINK




Process Control

"Feedforward and Feedback Control of a Pharmaceutical Coating Process" LINK




Agriculture

"Evaluation of the Optimum Harvesting Maturity of Makhwaen Fruit for the Perfumery Industry" Agriculture LINK

"Foods, Vol. 8, Pages 126: Physicochemical Properties and Pollen Profile of Oak Honeydew and Evergreen Oak Honeydew Honeys from Spain: A Comparative Study" LINK

"Early Visual Detection of Wheat Stripe Rust Using Visible/Near-Infrared Hyperspectral Imaging." LINK

"Foods, Vol. 8, Pages 137: Influence of Supplemental Feed Choice for Pasture-Based Cows on the Fatty Acid and Volatile Profile of Milk" LINK




Food & Feed

"Grape and juice handling: Assessing the use of visible and near infrared spectroscopy to rapidly evaluate the health status of grapes entering wineries" LINK




Pharma

"A rapid and non-destructive method for simultaneous determination of aflatoxigenic fungus and aflatoxin contamination on corn kernels." LINK




Laboratory

"A Strategy to Assess Quality Consistency of Drug Products." LINK

"Outsourcing Spectroscopic Analysis?" laboratory spectrometer Lab LINK




Other

"Classifying with confidence using Bayes rule and kernel density estimation" LINK

"Reestablishment of Protium cordatum (Burseraceae) based on integrative taxonomy" LINK

AI Trained on Decades of Food Research Is Making Brand-New Foods | by MachineLearning DeepLearning Cc LINK




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





NIR-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:

NIR-PredictorNIR-PrädiktorNIR-Predittore

New: NIR-Predictor V2.6 with new features

The new Version of the free NIR-Predictor
supports GRAMS .SPC, CSV, JCAMP and multiple native file formats
of miniature, mobile and desktop spectrometers
get your spectra analyced as easy as Drag’n’Drop.

Spectra Plots and Histograms on the Prediction Report
  • NIR-Predictor is an easy to use NIR software for all NIR devices
    to produce quantitative results out of NIR data.

  • CalibrationModel Service provides development of
    customized calibrations out of NIR and Lab data.

  • It allows to use NIR with your own customized
    models without the need of Chemometric Software!

  • We do the Machine Leraning for your NIR-Spectrometer
    and with the free NIR-Predictor you are
    able to analyze new measured samples.

  • For NIR-Vendors we also offer the
    Software Development Kit (SDK) for OEM Predictor use
    via the Application Programming Interface (API).
    Think of a sencod predictor engine,
    as a second heart in your system.



Download

Key Features of NIR-Predictor

  • Super flexible prediction with automatic file format detection
  • Support for many mobile and desktop NIR Spectrometers file format
  • Application concept allows to group multiple Calibrations together for an Application
  • Prediction Report shows Histogram Charts of the tabulated prediction results
  • Sample based Properties File Creator for combining NIR and Lab reference data
  • Checked creation of a single file Calibration Request

Super flexible prediction

Loads multiple files at once in

  • different file-formats and …
  • different wave-ranges and wave-resolutions and …
  • predicts each spectrum with all compatible calibrations and …
  • merges the results in a report and …
  • saves the report as HTML.

It allows you to

  • comparing measurements
  • compare different calibrations
  • compare different spectrometers,
    carry out your own round-robin amongst the vendors’ instruments.
  • compare different spectra file formats

With no configuration and no special menu command,
just drag & drop your data files.

Videos


Properties File Creator

A tool for the NIR-User to create the property file easily. It helps to create a CSV file from the measured spectra files with sample names and properties to edit in Spreadsheet/EXCEL software. Lets you enter Lab-Reference-Values in a sample-based manner, corresponding to your sample spectra for calibration. It contains clever automatic analysis mechanisms of inconsistencies in your raw-data to increase the data quality for calibration. Provides detailed analyzer information for manual data cleanup when needed.

It’s time saving and less error prone because you DON’T need to open each spectrum file separately in an editor and copy the spectral values into a table grid beside the Lab-values.

Properties File Creator saves you from:

  • manually error prone and boring tasks
  • importing multiple data files and combining it’s content manually into a single data file to append the lab reference values (aka properties)
  • programming and writing scripts to transform the data into the shape needed
  • no trouble with data handling of
    • Wavelength / Wavenumber information (x-axis)
    • Absorbance / Reflectance labeling (y-axis)
    • checking compatibility of the raw data before merging
    • Averaging Spectral Intensities of a Sample
    • coping, flipping and transposing rows and colums to get the X-Block and Y-Block data sets ready for calibration modeling
    • limited and error prone table grid functionality

Because it’s all automatic and you can check the results and get the analysis information!

Properties File Creator provides you - a individual template based on your raw-data for combining NIR and Lab-values - analysis and checks for better data quality for calibration

Top 8 Reasons why you should use
Automated NIR Calibration Service

  • No subjective model selection
  • No variation in results and interpretation
  • No overfitting model
  • Better accuracy
  • Better precision
  • Time saving!
  • No software cost (no need for Chemometric software and training)
  • One free prediction software for all your NIR systems

Reduce Total Cost of Ownership (TCO) of your NIR

To be ahead of competitors
  • by not owning a chemometric software
  • by not struggling days with these complicated software
  • by not deep dive into chemometrics theory
It takes significant know-how and continous investment to develop calibrations
  • You need to have the relevant skill sets in your organization.
  • That means salaries (the biggest expense in most organizations)
To get most out of it, start now!
  • use the free NIR-Predictor together with your NIR-Instrument software
  • as an NIR-Vendor, integrate the free NIR-Predictor OEM into your NIR-Instrument software
  • don’t delay time-to-market
Read more about NIR Total cost of ownership (TCO)

Download


About the included Demo-Spectra and Demo-Calibrations

The demo calibrations for the spectrometers from

  • Si-Ware Systems
  • Spectral Engines
  • Texas Instruments
  • VIAVI

are built with the raw data, thankfully provided from Prof. Heinz W Siesler, from this publication

“Hand-held near-infrared spectrometers:
State-of-the-art instrumentation and practical applications”
Hui Yan, Heinz W Siesler
First Published August 20, 2018 Research Article
https://doi.org/10.1177/0960336018796391

The demo calibrations for the FOSS are built with the

ANSIG Kaji Competition 2014 shootout data
http://www.anisg.com.au/the-kaji-competition


References

Quickstart: NIR-Predictor - Manual

Features and Version History: NIR-Predictor - Release Notes History

Supported NIR Spectra Formats: NIR-Predictor supported Spectral Data File Formats

Frequently Asked Questions: NIR-Predictor - FAQ

WebShop : CalibrationModel WebShop

New: NIR-Predictor V2.6 with new features

The new Version of the free NIR-Predictor
supports GRAMS .SPC, CSV, JCAMP and multiple native file formats
of miniature, mobile and desktop spectrometers
get your spectra analyced as easy as Drag’n’Drop.

Spectra Plots and Histograms on the Prediction Report
  • NIR-Predictor is an easy to use NIR software for all NIR devices
    to produce quantitative results out of NIR data.

  • CalibrationModel Service provides development of
    customized calibrations out of NIR and Lab data.

  • It allows to use NIR with your own customized
    models without the need of Chemometric Software!

  • We do the Machine Leraning for your NIR-Spectrometer
    and with the free NIR-Predictor you are
    able to analyze new measured samples.

  • For NIR-Vendors we also offer the
    Software Development Kit (SDK) for OEM Predictor use
    via the Application Programming Interface (API).
    Think of a sencod predictor engine,
    as a second heart in your system.



Download

Key Features of NIR-Predictor

  • Super flexible prediction with automatic file format detection
  • Support for many mobile and desktop NIR Spectrometers file format
  • Application concept allows to group multiple Calibrations together for an Application
  • Prediction Report shows Histogram Charts of the tabulated prediction results
  • Sample based Properties File Creator for combining NIR and Lab reference data
  • Checked creation of a single file Calibration Request

Super flexible prediction

Loads multiple files at once in

  • different file-formats and …
  • different wave-ranges and wave-resolutions and …
  • predicts each spectrum with all compatible calibrations and …
  • merges the results in a report and …
  • saves the report as HTML.

It allows you to

  • comparing measurements
  • compare different calibrations
  • compare different spectrometers,
    carry out your own round-robin amongst the vendors’ instruments.
  • compare different spectra file formats

With no configuration and no special menu command,
just drag & drop your data files.

Videos


Properties File Creator

A tool for the NIR-User to create the property file easily. It helps to create a CSV file from the measured spectra files with sample names and properties to edit in Spreadsheet/EXCEL software. Lets you enter Lab-Reference-Values in a sample-based manner, corresponding to your sample spectra for calibration. It contains clever automatic analysis mechanisms of inconsistencies in your raw-data to increase the data quality for calibration. Provides detailed analyzer information for manual data cleanup when needed.

It’s time saving and less error prone because you DON’T need to open each spectrum file separately in an editor and copy the spectral values into a table grid beside the Lab-values.

Properties File Creator saves you from:

  • manually error prone and boring tasks
  • importing multiple data files and combining it’s content manually into a single data file to append the lab reference values (aka properties)
  • programming and writing scripts to transform the data into the shape needed
  • no trouble with data handling of
    • Wavelength / Wavenumber information (x-axis)
    • Absorbance / Reflectance labeling (y-axis)
    • checking compatibility of the raw data before merging
    • Averaging Spectral Intensities of a Sample
    • coping, flipping and transposing rows and colums to get the X-Block and Y-Block data sets ready for calibration modeling
    • limited and error prone table grid functionality

Because it’s all automatic and you can check the results and get the analysis information!

Properties File Creator provides you - a individual template based on your raw-data for combining NIR and Lab-values - analysis and checks for better data quality for calibration

Top 8 Reasons why you should use
Automated NIR Calibration Service

  • No subjective model selection
  • No variation in results and interpretation
  • No overfitting model
  • Better accuracy
  • Better precision
  • Time saving!
  • No software cost (no need for Chemometric software and training)
  • One free prediction software for all your NIR systems

Reduce Total Cost of Ownership (TCO) of your NIR

To be ahead of competitors
  • by not owning a chemometric software
  • by not struggling days with these complicated software
  • by not deep dive into chemometrics theory
It takes significant know-how and continous investment to develop calibrations
  • You need to have the relevant skill sets in your organization.
  • That means salaries (the biggest expense in most organizations)
To get most out of it, start now!
  • use the free NIR-Predictor together with your NIR-Instrument software
  • as an NIR-Vendor, integrate the free NIR-Predictor OEM into your NIR-Instrument software
  • don’t delay time-to-market
Read more about NIR Total cost of ownership (TCO)

Download


About the included Demo-Spectra and Demo-Calibrations

The demo calibrations for the spectrometers from

  • Si-Ware Systems
  • Spectral Engines
  • Texas Instruments
  • VIAVI

are built with the raw data, thankfully provided from Prof. Heinz W Siesler, from this publication

“Hand-held near-infrared spectrometers:
State-of-the-art instrumentation and practical applications”
Hui Yan, Heinz W Siesler
First Published August 20, 2018 Research Article
https://doi.org/10.1177/0960336018796391

The demo calibrations for the FOSS are built with the

ANSIG Kaji Competition 2014 shootout data
http://www.anisg.com.au/the-kaji-competition


References

Quickstart: NIR-Predictor - Manual

Features and Version History: NIR-Predictor - Release Notes History

Supported NIR Spectra Formats: NIR-Predictor supported Spectral Data File Formats

Frequently Asked Questions: NIR-Predictor - FAQ

WebShop : CalibrationModel WebShop

New: NIR-Predictor V2.6 with new features

The new Version of the free NIR-Predictor
supports GRAMS .SPC, CSV, JCAMP and multiple native file formats
of miniature, mobile and desktop spectrometers
get your spectra analyced as easy as Drag’n’Drop.

Spectra Plots and Histograms on the Prediction Report
  • NIR-Predictor is an easy to use NIR software for all NIR devices
    to produce quantitative results out of NIR data.

  • CalibrationModel Service provides development of
    customized calibrations out of NIR and Lab data.

  • It allows to use NIR with your own customized
    models without the need of Chemometric Software!

  • We do the Machine Leraning for your NIR-Spectrometer
    and with the free NIR-Predictor you are
    able to analyze new measured samples.

  • For NIR-Vendors we also offer the
    Software Development Kit (SDK) for OEM Predictor use
    via the Application Programming Interface (API).
    Think of a sencod predictor engine,
    as a second heart in your system.



Download

Key Features of NIR-Predictor

  • Super flexible prediction with automatic file format detection
  • Support for many mobile and desktop NIR Spectrometers file format
  • Application concept allows to group multiple Calibrations together for an Application
  • Prediction Report shows Histogram Charts of the tabulated prediction results
  • Sample based Properties File Creator for combining NIR and Lab reference data
  • Checked creation of a single file Calibration Request

Super flexible prediction

Loads multiple files at once in

  • different file-formats and …
  • different wave-ranges and wave-resolutions and …
  • predicts each spectrum with all compatible calibrations and …
  • merges the results in a report and …
  • saves the report as HTML.

It allows you to

  • comparing measurements
  • compare different calibrations
  • compare different spectrometers,
    carry out your own round-robin amongst the vendors’ instruments.
  • compare different spectra file formats

With no configuration and no special menu command,
just drag & drop your data files.

Videos


Properties File Creator

A tool for the NIR-User to create the property file easily. It helps to create a CSV file from the measured spectra files with sample names and properties to edit in Spreadsheet/EXCEL software. Lets you enter Lab-Reference-Values in a sample-based manner, corresponding to your sample spectra for calibration. It contains clever automatic analysis mechanisms of inconsistencies in your raw-data to increase the data quality for calibration. Provides detailed analyzer information for manual data cleanup when needed.

It’s time saving and less error prone because you DON’T need to open each spectrum file separately in an editor and copy the spectral values into a table grid beside the Lab-values.

Properties File Creator saves you from:

  • manually error prone and boring tasks
  • importing multiple data files and combining it’s content manually into a single data file to append the lab reference values (aka properties)
  • programming and writing scripts to transform the data into the shape needed
  • no trouble with data handling of
    • Wavelength / Wavenumber information (x-axis)
    • Absorbance / Reflectance labeling (y-axis)
    • checking compatibility of the raw data before merging
    • Averaging Spectral Intensities of a Sample
    • coping, flipping and transposing rows and colums to get the X-Block and Y-Block data sets ready for calibration modeling
    • limited and error prone table grid functionality

Because it’s all automatic and you can check the results and get the analysis information!

Properties File Creator provides you - a individual template based on your raw-data for combining NIR and Lab-values - analysis and checks for better data quality for calibration

Top 8 Reasons why you should use
Automated NIR Calibration Service

  • No subjective model selection
  • No variation in results and interpretation
  • No overfitting model
  • Better accuracy
  • Better precision
  • Time saving!
  • No software cost (no need for Chemometric software and training)
  • One free prediction software for all your NIR systems

Reduce Total Cost of Ownership (TCO) of your NIR

To be ahead of competitors
  • by not owning a chemometric software
  • by not struggling days with these complicated software
  • by not deep dive into chemometrics theory
It takes significant know-how and continous investment to develop calibrations
  • You need to have the relevant skill sets in your organization.
  • That means salaries (the biggest expense in most organizations)
To get most out of it, start now!
  • use the free NIR-Predictor together with your NIR-Instrument software
  • as an NIR-Vendor, integrate the free NIR-Predictor OEM into your NIR-Instrument software
  • don’t delay time-to-market
Read more about NIR Total cost of ownership (TCO)

Download


About the included Demo-Spectra and Demo-Calibrations

The demo calibrations for the spectrometers from

  • Si-Ware Systems
  • Spectral Engines
  • Texas Instruments
  • VIAVI

are built with the raw data, thankfully provided from Prof. Heinz W Siesler, from this publication

“Hand-held near-infrared spectrometers:
State-of-the-art instrumentation and practical applications”
Hui Yan, Heinz W Siesler
First Published August 20, 2018 Research Article
https://doi.org/10.1177/0960336018796391

The demo calibrations for the FOSS are built with the

ANSIG Kaji Competition 2014 shootout data
http://www.anisg.com.au/the-kaji-competition


References

Quickstart: NIR-Predictor - Manual

Features and Version History: NIR-Predictor - Release Notes History

Supported NIR Spectra Formats: NIR-Predictor supported Spectral Data File Formats

Frequently Asked Questions: NIR-Predictor - FAQ

WebShop : CalibrationModel WebShop

Procedures for NIR calibration – Creation of NIRS spectroscopy calibration curvesArbeitsweisen zur NIR Kalibrierung – Erstellung von NIRS-Spektroskopie Kalibrierungskurven Le procedure di calibrazione NIR – Realizzazione di curve di calibrazione NIRS spettroscopia

Do you know the effect that you prefer to try out their favorite data pretreatments in combination and often try the same wavelength selections based spectra of the visualized?

You try as six to ten combinations until one of them selects his favorite calibration model, to then continue to optimize. Since then suddenly fall to outliers, because it goes in depth, so is familiar with the data, we know now the spectra of numbers of outliers and is familiar with the extreme values.

Now, the focus is on the major components (principal components, Latent Variables, factors) and makes sure not to over-fit and under-fit not to. The whole takes a few hours and finally one is content with the model found.

So what would happen if you all in the beginning tried variants found outliers removed and re-evaluated and compared? The results would be better than that of the previous model choice? One does not try out? Because it is cumbersome and takes hours again?

We have developed a software which simplifies this so that also the number of model variations can be increased as desired. The variants generation is automated with an intelligent control system, as well as the optimization and comparing the models and finally the final selection of the best calibration model.

Our software includes all the usual known data pretreatment methods (data pre-processing) and can combine them useful. Since many Preteatments are directly dependent on the wavelength selection, such as the normalization the determined within a wavelength range of the scaling factors to normalize the spectra so that pretreatments with the wavelength ranges may be combined. So a variety of settings sensible model comes together that are all calculated and optimized. For the automatic selection of the relevant wavelength ranges, different methods are used, which are based on the spectral intensities. Thus, for example, regions with total absorption is not used, and often interfering water bands removed or retained.

Over all the calculated model variations as a summary outlier analysis can be made. Are there any new outliers (hidden outlier) discovered, all previous models can be automatically recalculated, optimized and compared without these outliers.

From this great number of calculated models with the statistical quality reviews (prediction performance) the optimum calibration can now be selected. For this purpose, not simply sorting by the prediction error (prediction error, SEP RMSEP) or the coefficient of determination (coefficient of determination r2), but by several statistical and test values are used jointly toward the final assessment of optimal calibration.

Thus we have created a platform that allows the highly automated work what a man can never do with a commercial software.

We therefore offer the largest number of matched to your application problem modeling calculations and choose the best calibration for you!

This means that our results are faster, more accurate, robust and objective basis (person independent) and quite easy for you to apply.

You have the full control of the models supplied by us, because we provide a clearly structured and detailed blueprint of the complete calibration, with all settings and parameters, with all necessary statistical characteristics and graphics.

Using this blueprint, you can adjust the quantitative calibration model itself in the software you use, understand and compare. You have everything under control form model creation, model validation and model refinement.

Your privacy is very important to us. The NIR data that you briefly provide us for the custom calibration development will remain of course your property. Your NIR data will be deleted after the job with us.


Start Calibrate


Interested, then do not hesitate to contact us.

Kennen Sie den Effekt, dass Sie bevorzugt ihre Lieblings-Datenvorbehandlungen in Kombination durchprobieren und oft die gleichen Wellenlängen-Selektionen anhand der visualisierten Spektren ausprobieren?

Man probiert z.B. sechs bis zehn Kombinationen aus, bis man davon sein favorisiertes Kalibrationsmodell auswählt, um es dann weiter zu optimieren. Da fallen dann plötzlich Ausreisser (Outlier) auf, weil man in die Tiefe geht, also mit den Daten vertraut ist, man kennt mittlerweile die Spektren-Nummern der Ausreisser und ist mit den Extremwerten vertraut.

Jetzt fokussiert man sich auf die Hauptkomponenten (Principal Components, Latent Variables, Faktoren) und achtet darauf nicht zu über-fitten und nicht zu unter-fitten. Das ganze dauert ein paar Stunden und schliesslich begnügt man sich mit dem gefundenen Modell.

Was wäre nun, wenn man in all den zu Beginn ausprobierten Varianten, die gefundenen Ausreisser entfernt und nochmals berechnet und vergleicht? Wären die Ergebnisse besser als die von der bisherigen Modell Wahl? Man probiert es nicht aus? Weil es mühsam ist und wieder Stunden dauert?

Wir haben eine Software entwickelt die dies so vereinfacht, dass auch die Anzahl der Modell Variationen beliebig erhöht werden kann. Die Varianten Erzeugung läuft automatisiert mit einem intelligenten Regelsystem, so auch die Optimierung und das Vergleichen der Modelle und schliesslich die finale Auswahl des Besten Kalibrations Modell.

Unsere Software beinhaltet alle üblichen bekannten Datenvorbehandlungs Methoden (Preteatments) und kann diese sinnvoll kombinieren. Da viele Preteatments direkt abhängig sind von der Wellenlängen Selektion, so z.B. die Normalisierungen die innerhalb eines Wellenlängen-Bereiches die Skalierungsfaktoren ermittelt, um die Spektren damit zu normieren, werden die Pretreatments mit dem Wellenlängen-Bereichen kombiniert. So kommt eine Vielzahl von sinnvollen Modell Einstellungen zusammen die alle berechnet und optimiert werden.

Für die automatische Auswahl der relevanten Wellenlängen Bereiche kommen verschiedene Methoden zum Einsatz, die sich an den Spektren Intensitäten orientieren. So werden z.B. Bereiche mit Totalabsorption nicht verwendet, oftmals störende Wasserbanden entfernt oder beibehalten.

Über all die berechneten Modell Variationen können so zusammenfassende Outlier Analysen gemacht werden. Werden durch die gefahrenen Versuche neue Outlier (Hidden Outlier) entdeckt, können alle bisherigen Modelle automatisch ohne diese Ausreisser nachberechnet, optimiert und verglichen werden.

Aus dieser Vielzahl berechneter Modelle mit deren Statistischen Güte Bewertungen (Prediction Performance) kann nun die optimale Kalibration ausgewählt werden. Dazu wird nicht einfach nach dem Vorhersage Fehler (Prediction Error, SEP, RMSEP) oder nach dem Bestimmtheitsmaß (Coefficient of Determination r2) sortiert, sondern mehrere Statistik- und Testwerte gemeinsam zur umfänglichen Beurteilung der optimalen Kalibration herangezogen.

Somit haben wir eine Plattform geschaffen, die es ermöglicht hochgradig automatisiert das zu tun, was ein Mensch niemals mit einer handelsüblichen Software tun kann.

Wir bieten damit die grösste Anzahl auf Ihr Applikations-Problem angepasste Modellierungs-Berechnungen und wählen die beste Kalibration für Sie aus!

Das heisst, unsere Ergebnisse sind schneller, genauer, robuster und objektiv ausgewählt (Personen unabhängig) und für Sie ganz einfach anzuwenden.

Die Kontrolle über die von uns gelieferten Modelle haben Sie vollumfänglich, denn wir liefern einen klar strukturierten und detaillierten Bauplan der  kompletten Kalibration, mit allen Einstellungen und Parametern, mit allen notwendigen Statistischen Kenngrössen und Grafiken.

Anhand dieses Bauplans können Sie das quantitative Kalibrations Modell selbst in der von Ihnen verwendeten Software nachstellen, nachvollziehen und vergleichen. Sie haben so alles im Griff, für die Modell-Validierung und die Modellpflege.

Der Datenschutz ist uns sehr wichtig. Die NIR Daten, die Sie uns für die Kalibrations-Erstellung kurzzeitig zu Verfügung stellen bleiben selbstverständlich Ihr Eigentum. Ihre NIR Daten werden nach Abschluss des Auftrags bei uns gelöscht.


Start Calibrate


Interessiert, dann zögern Sie nicht uns zu kontaktieren.

Do you know the effect that you prefer to try out their favorite data pretreatments in combination and often try the same wavelength selections based spectra of the visualized?

You try as six to ten combinations until one of them selects his favorite calibration model, to then continue to optimize. Since then suddenly fall to outliers, because it goes in depth, so is familiar with the data, we know now the spectra of numbers of outliers and is familiar with the extreme values.

Now, the focus is on the major components (principal components, Latent Variables, factors) and makes sure not to over-fit and under-fit not to. The whole takes a few hours and finally one is content with the model found.

So what would happen if you all in the beginning tried variants found outliers removed and re-evaluated and compared? The results would be better than that of the previous model choice? One does not try out? Because it is cumbersome and takes hours again?

We have developed a software which simplifies this so that also the number of model variations can be increased as desired. The variants generation is automated with an intelligent control system, as well as the optimization and comparing the models and finally the final selection of the best calibration model.

Our software includes all the usual known data pretreatment methods (data pre-processing) and can combine them useful. Since many Preteatments are directly dependent on the wavelength selection, such as the normalization the determined within a wavelength range of the scaling factors to normalize the spectra so that pretreatments with the wavelength ranges may be combined. So a variety of settings sensible model comes together that are all calculated and optimized. For the automatic selection of the relevant wavelength ranges, different methods are used, which are based on the spectral intensities. Thus, for example, regions with total absorption is not used, and often interfering water bands removed or retained.

Over all the calculated model variations as a summary outlier analysis can be made. Are there any new outliers (hidden outlier) discovered, all previous models can be automatically recalculated, optimized and compared without these outliers.

From this great number of calculated models with the statistical quality reviews (prediction performance) the optimum calibration can now be selected. For this purpose, not simply sorting by the prediction error (prediction error, SEP RMSEP) or the coefficient of determination (coefficient of determination r2), but by several statistical and test values are used jointly toward the final assessment of optimal calibration.

Thus we have created a platform that allows the highly automated work what a man can never do with a commercial software.

We therefore offer the largest number of matched to your application problem modeling calculations and choose the best calibration for you!

This means that our results are faster, more accurate, robust and objective basis (person independent) and quite easy for you to apply.

You have the full control of the models supplied by us, because we provide a clearly structured and detailed blueprint of the complete calibration, with all settings and parameters, with all necessary statistical characteristics and graphics.

Using this blueprint, you can adjust the quantitative calibration model itself in the software you use, understand and compare. You have everything under control form model creation, model validation and model refinement.

Your privacy is very important to us. The NIR data that you briefly provide us for the custom calibration development will remain of course your property. Your NIR data will be deleted after the job with us.


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Interested, then do not hesitate to contact us.

About

Bossart Analytics develops unique specialized chemometric software for NIR spectroscopy and offers calibration development and optimization services.

It is our strong belief that chemometric models and machine learning methods importance is steadily increasing. We focus on the algorithms and know-how for the development of optimal NIR calibration models.

With our long year experience in chemometrics and NIR spectroscopy know how, we offer a hardware vendor independent service for quantitative calibration modeling for full range NIR spectrometer.

Main Advantages, see Paradigm Change in NIR.

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Bossart Analytics entwickelt einzigartige spezialisierte chemometrische Software für NIR-Spektroskopie und bietet Kalibrierungs- und Optimierungs-Dienstleistungen an.

Es ist unsere feste Überzeugung, dass die Bedeutung von Chemometrischen Modellen und Machine-Learning Methoden stetig zunimmt. Wir konzentrieren uns auf die Algorithmik und Know How zur Entwicklung von optimalen NIR Kalibrations Modellen.

Mit unserer langjährigen Chemometrie Erfahrung und Spektroskopie Know How bieten wir einen Hersteller unabhängigen Service für quantitatives Calibration Modeling für NIR full-range-Spektrometer an.

Hauptvorteile, siehe Paradigmenwechsel im NIR-Bereich

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