Spectroscopy and Chemometrics News Weekly #35, 2019Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #35, 2019Spettroscopia e Chemiometria Weekly News #35, 2019

Near Infrared (NIR)

"Evaluation of diesel exhaust fluid (DEF) using near-infrared spectroscopy and multivariate calibration" LINK

"A weighted ensemble method based on wavelength selection for near-infrared spectroscopic calibration" LINK

"110th Anniversary: Real-Time Endpoint Detection of Fluidized Bed Drying Process Based on a Switching Model of Near-Infrared Spectroscopy" LINK

"Supervised Dictionary Learning with Regularization for Near-infrared Spectroscopy Classification" tobacco NIRS LINK

"Evaluation of NIRS as non-destructive test to evaluate quality traits of purple passion fruit" LINK

"A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data" LINK

"High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: a case study with a maize diversity panel." LINK

"Comparative study on the use of three different near infrared spectroscopy recording methodologies for varietal discrimination of walnuts" LINK

"Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy" LINK

"Use of near infrared spectroscopy and spectral database to assess the quality of pharmaceutical products and aid characterization of unknown components" LINK

"Determination of soil organic matter using visible-near infrared spectroscopy and machinelearning" LINK

"Evaluation of acetic acid and ethanol concentration in a rice vinegar internal venturi injector bioreactor using Fourier transform near infrared spectroscopy" LINK




Chemometrics

"Determination of the superficial citral content on microparticles: An application of NIR spectroscopy coupled with chemometric tools" LINK

"Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach" LINK

"Optimization of soluble solids content prediction models in 'Hami'melons by means of Vis-NIR spectroscopy and chemometric tools" LINK

"Fast quantitative detection of Black Pepper and Cumin adulterations by near-infrared spectroscopy and multivariate modeling" LINK

"Prediction of toughness and other beef quality characteristics of the m. longissimus thoracis using polarized near-infrared reflectance spectroscopy" LINK

"Application of near infrared for on-line monitoring of heavy fuel oil at thermoelectric power plants. Part I: Development of chemometric models" LINK

What's a Near-Infrared-sensor for combines? Donau Soja collects data from soya fields for the soya yield- and protein prediction model within CYBELE_H2020. The NIR sensor measures & maps protein, oil and other quality parameters in real time during the upcoming harvest season! LINK

"NIRs calibration models for chemical composition and fatty acid families of raw and freeze-dried beef: a comparison" LINK

"Honey botanical origin classification using hyperspectral imaging and machine learning" LINK




CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 34, 2019 | NIRS NIR Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Software Sensors QAQC Testing Quality Checking LabManagers laboratory digitalization LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 34, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Qualitätslabor labdata LINK

Spettroscopia e Chemiometria Weekly News 34, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK




Facts

Most people now know companies like Google & Facebook collect & sell your data. Yet some people still think, "So what? I have nothing to hide." Here's five compelling reasons to tell them why your privacy is worth more than you think! LINK




Environment

"Relevance of a near infrared spectral index for assessing tillage and fertilization effects on soil water retention" LINK




Agriculture

"Fast And Simultaneous Prediction Of Agricultural Soil Nutrients Content Using Infrared Spectroscopy" LINK

"Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!" LINK

"Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selection" LINK




Other

"Spectroscopic data supporting investment decisions" LINK





.

Near Infrared (NIR)

"Evaluation of diesel exhaust fluid (DEF) using near-infrared spectroscopy and multivariate calibration" LINK

"A weighted ensemble method based on wavelength selection for near-infrared spectroscopic calibration" LINK

"110th Anniversary: Real-Time Endpoint Detection of Fluidized Bed Drying Process Based on a Switching Model of Near-Infrared Spectroscopy" LINK

"Supervised Dictionary Learning with Regularization for Near-infrared Spectroscopy Classification" tobacco NIRS LINK

"Evaluation of NIRS as non-destructive test to evaluate quality traits of purple passion fruit" LINK

"A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data" LINK

"High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: a case study with a maize diversity panel." LINK

"Comparative study on the use of three different near infrared spectroscopy recording methodologies for varietal discrimination of walnuts" LINK

"Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy" LINK

"Use of near infrared spectroscopy and spectral database to assess the quality of pharmaceutical products and aid characterization of unknown components" LINK

"Determination of soil organic matter using visible-near infrared spectroscopy and machinelearning" LINK

"Evaluation of acetic acid and ethanol concentration in a rice vinegar internal venturi injector bioreactor using Fourier transform near infrared spectroscopy" LINK




Chemometrics

"Determination of the superficial citral content on microparticles: An application of NIR spectroscopy coupled with chemometric tools" LINK

"Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach" LINK

"Optimization of soluble solids content prediction models in 'Hami'melons by means of Vis-NIR spectroscopy and chemometric tools" LINK

"Fast quantitative detection of Black Pepper and Cumin adulterations by near-infrared spectroscopy and multivariate modeling" LINK

"Prediction of toughness and other beef quality characteristics of the m. longissimus thoracis using polarized near-infrared reflectance spectroscopy" LINK

"Application of near infrared for on-line monitoring of heavy fuel oil at thermoelectric power plants. Part I: Development of chemometric models" LINK

What's a Near-Infrared-sensor for combines? Donau Soja collects data from soya fields for the soya yield- and protein prediction model within CYBELE_H2020. The NIR sensor measures & maps protein, oil and other quality parameters in real time during the upcoming harvest season! LINK

"NIRs calibration models for chemical composition and fatty acid families of raw and freeze-dried beef: a comparison" LINK

"Honey botanical origin classification using hyperspectral imaging and machine learning" LINK




CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 34, 2019 | NIRS NIR Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Software Sensors QAQC Testing Quality Checking LabManagers laboratory digitalization LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 34, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Qualitätslabor labdata LINK

Spettroscopia e Chemiometria Weekly News 34, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK




Facts

Most people now know companies like Google & Facebook collect & sell your data. Yet some people still think, "So what? I have nothing to hide." Here's five compelling reasons to tell them why your privacy is worth more than you think! LINK




Environment

"Relevance of a near infrared spectral index for assessing tillage and fertilization effects on soil water retention" LINK




Agriculture

"Fast And Simultaneous Prediction Of Agricultural Soil Nutrients Content Using Infrared Spectroscopy" LINK

"Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!" LINK

"Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selection" LINK




Other

"Spectroscopic data supporting investment decisions" LINK





.

Near Infrared (NIR)

"Evaluation of diesel exhaust fluid (DEF) using near-infrared spectroscopy and multivariate calibration" LINK

"A weighted ensemble method based on wavelength selection for near-infrared spectroscopic calibration" LINK

"110th Anniversary: Real-Time Endpoint Detection of Fluidized Bed Drying Process Based on a Switching Model of Near-Infrared Spectroscopy" LINK

"Supervised Dictionary Learning with Regularization for Near-infrared Spectroscopy Classification" tobacco NIRS LINK

"Evaluation of NIRS as non-destructive test to evaluate quality traits of purple passion fruit" LINK

"A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data" LINK

"High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: a case study with a maize diversity panel." LINK

"Comparative study on the use of three different near infrared spectroscopy recording methodologies for varietal discrimination of walnuts" LINK

"Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy" LINK

"Use of near infrared spectroscopy and spectral database to assess the quality of pharmaceutical products and aid characterization of unknown components" LINK

"Determination of soil organic matter using visible-near infrared spectroscopy and machinelearning" LINK

"Evaluation of acetic acid and ethanol concentration in a rice vinegar internal venturi injector bioreactor using Fourier transform near infrared spectroscopy" LINK




Chemometrics

"Determination of the superficial citral content on microparticles: An application of NIR spectroscopy coupled with chemometric tools" LINK

"Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach" LINK

"Optimization of soluble solids content prediction models in 'Hami'melons by means of Vis-NIR spectroscopy and chemometric tools" LINK

"Fast quantitative detection of Black Pepper and Cumin adulterations by near-infrared spectroscopy and multivariate modeling" LINK

"Prediction of toughness and other beef quality characteristics of the m. longissimus thoracis using polarized near-infrared reflectance spectroscopy" LINK

"Application of near infrared for on-line monitoring of heavy fuel oil at thermoelectric power plants. Part I: Development of chemometric models" LINK

What's a Near-Infrared-sensor for combines? Donau Soja collects data from soya fields for the soya yield- and protein prediction model within CYBELE_H2020. The NIR sensor measures & maps protein, oil and other quality parameters in real time during the upcoming harvest season! LINK

"NIRs calibration models for chemical composition and fatty acid families of raw and freeze-dried beef: a comparison" LINK

"Honey botanical origin classification using hyperspectral imaging and machine learning" LINK




CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 34, 2019 | NIRS NIR Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Software Sensors QAQC Testing Quality Checking LabManagers laboratory digitalization LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 34, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Qualitätslabor labdata LINK

Spettroscopia e Chemiometria Weekly News 34, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK




Facts

Most people now know companies like Google & Facebook collect & sell your data. Yet some people still think, "So what? I have nothing to hide." Here's five compelling reasons to tell them why your privacy is worth more than you think! LINK




Environment

"Relevance of a near infrared spectral index for assessing tillage and fertilization effects on soil water retention" LINK




Agriculture

"Fast And Simultaneous Prediction Of Agricultural Soil Nutrients Content Using Infrared Spectroscopy" LINK

"Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!" LINK

"Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selection" LINK




Other

"Spectroscopic data supporting investment decisions" LINK





.

Spectroscopy and Chemometrics News Weekly #29, 2019Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #29, 2019Spettroscopia e Chemiometria Weekly News #29, 2019

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 28, 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 28, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 28, 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

Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & chemometrics! research by Kyle C. Doty & Igor K. Lednev : | LINK

"Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra" LINK

"Intuitive Visualization of Outlier Detection Methods" LINK

"Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy" LINK

" Predicting the quality of ryegrass using hyperspectral imaging" LINK

"A Clustering-Based Partial Least Squares Method for Improving the Freshness Prediction Model of Crucian Carps Fillets by Hyperspectral Image Technology" LINK

" Hyperspectral Uncertainty Quantification by Optimization" LINK




Near Infrared

"Hardwood Species Classification with Hyperspectral Microscopic Images" LINK

" Vibrational Spectroscopy and Chemometrics in Forensic Chemistry: Critical Review, Current Trends and Challenges" LINK

"Combining Fourier Transform MidInfrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder." LINK

"Comparison of Cation Exchange Capacity Estimated from Vis-NIR Spectral Reflectance Data and a Pedotransfer Function" LINK



"Modeling of Fatty Acid Methyl Esters, Monoglycerides, Triglycerides and Diglycerides in Rapeseed Oil Biodiesel by Near Infrared Spectroscopy" LINK

"Predicting the contents of polysaccharides and its monosugars in Dendrobium huoshanense by partial least squares regression model using attenuated total reflectance Fourier transform infrared spectroscopy" LINK

"Fast determination of oxides content in cement raw meal using NIR spectroscopy with SPXY algorithm" LINK

"Application of near infrared spectroscopy and chemometrics for the analysis of nutraceuticals in South Africa" LINK


Infrared

"Determination of total sugar content in Siraitia grosvenorii by near infrared diffuse reflectance spectroscopy with wavelength selection techniques" LINK

"How to Measure Coating Thickness of Tablets: Method Comparison of Optical Coherence Tomography, Near-infrared Spectroscopy and Weight-, Height- and Diameter Gain." LINK




Hyperspectral

"Spectral difference analysis and identification of different maturity blueberry fruit based on hyperspectral imaging using spectral index" LINK




Optics

Focus on photonics, spectroscopy, and spectrometry LINK




Equipment

"Sensors, Vol. 19, Pages 2995: Effect of the Architecture of Fiber-Optic Probes Designed for Soluble Solid Content Prediction in Intact Sugar Beet Slices" LINK

"Miniaturized analytical platform for cocaine detection in oral fluids by MicroNIR/Chemometrics." LINK

"Handheld near-infrared spectrometer for on-line monitoring of biodiesel production in a continuous process" LINK




Environment

"Optimized Multivariate Analysis for the Discrimination of Cucumber Green Mosaic Mottle Virus-Infected Watermelon Seeds Based on Spectral Imaging" LINK




Agriculture

"Non-destructive screening method for detecting the presence of insects in sorghum grains using near infrared spectroscopy and discriminant analysis" LINK

" NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein" LINK




Pharma

"Development and Validation of In-line Near-Infrared Spectroscopy Based Analytical Method for Commercial Production of a Botanical Drug Product" LINK

In-line monitoring of powder blend homogeneity in continuous drug manufacture using near infrared spectroscopy (with PDF) pharmaceutical binder excipients LINK




Laboratory

"The essential role of omni-capable research laboratories in advancing analytical spectroscopy" LINK




Other

"How to Build Disruptive DataScience Teams: 10 Best Practices" LINK





CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 28, 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 28, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 28, 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

Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & chemometrics! research by Kyle C. Doty & Igor K. Lednev : | LINK

"Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra" LINK

"Intuitive Visualization of Outlier Detection Methods" LINK

"Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy" LINK

" Predicting the quality of ryegrass using hyperspectral imaging" LINK

"A Clustering-Based Partial Least Squares Method for Improving the Freshness Prediction Model of Crucian Carps Fillets by Hyperspectral Image Technology" LINK

" Hyperspectral Uncertainty Quantification by Optimization" LINK




Near Infrared

"Hardwood Species Classification with Hyperspectral Microscopic Images" LINK

" Vibrational Spectroscopy and Chemometrics in Forensic Chemistry: Critical Review, Current Trends and Challenges" LINK

"Combining Fourier Transform MidInfrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder." LINK

"Comparison of Cation Exchange Capacity Estimated from Vis-NIR Spectral Reflectance Data and a Pedotransfer Function" LINK



"Modeling of Fatty Acid Methyl Esters, Monoglycerides, Triglycerides and Diglycerides in Rapeseed Oil Biodiesel by Near Infrared Spectroscopy" LINK

"Predicting the contents of polysaccharides and its monosugars in Dendrobium huoshanense by partial least squares regression model using attenuated total reflectance Fourier transform infrared spectroscopy" LINK

"Fast determination of oxides content in cement raw meal using NIR spectroscopy with SPXY algorithm" LINK

"Application of near infrared spectroscopy and chemometrics for the analysis of nutraceuticals in South Africa" LINK


Infrared

"Determination of total sugar content in Siraitia grosvenorii by near infrared diffuse reflectance spectroscopy with wavelength selection techniques" LINK

"How to Measure Coating Thickness of Tablets: Method Comparison of Optical Coherence Tomography, Near-infrared Spectroscopy and Weight-, Height- and Diameter Gain." LINK




Hyperspectral

"Spectral difference analysis and identification of different maturity blueberry fruit based on hyperspectral imaging using spectral index" LINK




Optics

Focus on photonics, spectroscopy, and spectrometry LINK




Equipment

"Sensors, Vol. 19, Pages 2995: Effect of the Architecture of Fiber-Optic Probes Designed for Soluble Solid Content Prediction in Intact Sugar Beet Slices" LINK

"Miniaturized analytical platform for cocaine detection in oral fluids by MicroNIR/Chemometrics." LINK

"Handheld near-infrared spectrometer for on-line monitoring of biodiesel production in a continuous process" LINK




Environment

"Optimized Multivariate Analysis for the Discrimination of Cucumber Green Mosaic Mottle Virus-Infected Watermelon Seeds Based on Spectral Imaging" LINK




Agriculture

"Non-destructive screening method for detecting the presence of insects in sorghum grains using near infrared spectroscopy and discriminant analysis" LINK

" NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein" LINK




Pharma

"Development and Validation of In-line Near-Infrared Spectroscopy Based Analytical Method for Commercial Production of a Botanical Drug Product" LINK

In-line monitoring of powder blend homogeneity in continuous drug manufacture using near infrared spectroscopy (with PDF) pharmaceutical binder excipients LINK




Laboratory

"The essential role of omni-capable research laboratories in advancing analytical spectroscopy" LINK




Other

"How to Build Disruptive DataScience Teams: 10 Best Practices" LINK





CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 28, 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 28, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 28, 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

Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & chemometrics! research by Kyle C. Doty & Igor K. Lednev : | LINK

"Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra" LINK

"Intuitive Visualization of Outlier Detection Methods" LINK

"Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy" LINK

" Predicting the quality of ryegrass using hyperspectral imaging" LINK

"A Clustering-Based Partial Least Squares Method for Improving the Freshness Prediction Model of Crucian Carps Fillets by Hyperspectral Image Technology" LINK

" Hyperspectral Uncertainty Quantification by Optimization" LINK




Near Infrared

"Hardwood Species Classification with Hyperspectral Microscopic Images" LINK

" Vibrational Spectroscopy and Chemometrics in Forensic Chemistry: Critical Review, Current Trends and Challenges" LINK

"Combining Fourier Transform MidInfrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder." LINK

"Comparison of Cation Exchange Capacity Estimated from Vis-NIR Spectral Reflectance Data and a Pedotransfer Function" LINK



"Modeling of Fatty Acid Methyl Esters, Monoglycerides, Triglycerides and Diglycerides in Rapeseed Oil Biodiesel by Near Infrared Spectroscopy" LINK

"Predicting the contents of polysaccharides and its monosugars in Dendrobium huoshanense by partial least squares regression model using attenuated total reflectance Fourier transform infrared spectroscopy" LINK

"Fast determination of oxides content in cement raw meal using NIR spectroscopy with SPXY algorithm" LINK

"Application of near infrared spectroscopy and chemometrics for the analysis of nutraceuticals in South Africa" LINK


Infrared

"Determination of total sugar content in Siraitia grosvenorii by near infrared diffuse reflectance spectroscopy with wavelength selection techniques" LINK

"How to Measure Coating Thickness of Tablets: Method Comparison of Optical Coherence Tomography, Near-infrared Spectroscopy and Weight-, Height- and Diameter Gain." LINK




Hyperspectral

"Spectral difference analysis and identification of different maturity blueberry fruit based on hyperspectral imaging using spectral index" LINK




Optics

Focus on photonics, spectroscopy, and spectrometry LINK




Equipment

"Sensors, Vol. 19, Pages 2995: Effect of the Architecture of Fiber-Optic Probes Designed for Soluble Solid Content Prediction in Intact Sugar Beet Slices" LINK

"Miniaturized analytical platform for cocaine detection in oral fluids by MicroNIR/Chemometrics." LINK

"Handheld near-infrared spectrometer for on-line monitoring of biodiesel production in a continuous process" LINK




Environment

"Optimized Multivariate Analysis for the Discrimination of Cucumber Green Mosaic Mottle Virus-Infected Watermelon Seeds Based on Spectral Imaging" LINK




Agriculture

"Non-destructive screening method for detecting the presence of insects in sorghum grains using near infrared spectroscopy and discriminant analysis" LINK

" NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein" LINK




Pharma

"Development and Validation of In-line Near-Infrared Spectroscopy Based Analytical Method for Commercial Production of a Botanical Drug Product" LINK

In-line monitoring of powder blend homogeneity in continuous drug manufacture using near infrared spectroscopy (with PDF) pharmaceutical binder excipients LINK




Laboratory

"The essential role of omni-capable research laboratories in advancing analytical spectroscopy" LINK




Other

"How to Build Disruptive DataScience Teams: 10 Best Practices" LINK





Spectroscopy and Chemometrics News Weekly #26, 2019Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #26, 2019Spettroscopia e Chemiometria Weekly News #26, 2019

CalibrationModel.com

NIR Method Development Service for Labs and NIR-Vendors (OEM) LINK

Spectroscopy and Chemometrics News Weekly 25, 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 25, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensoren Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 25, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK




Chemometrics

"X-ray fluorescence and visible near infrared sensor fusion for predicting soil chromium content" LINK

"Staling of white wheat bread crumb and effect of maltogenic a-amylases. Part 2: Monitoring the staling process by using near infrared spectroscopy and chemometrics" LINK

"Rapid and Nondestructive Quantification of Trimethylamine by FT-NIR Coupled with Chemometric Techniques" Fish quality LINK

"Prediction of yerba mate caffeine content using near infrared spectroscopy" LINK

"Journal Highlight: A new flow cell and chemometric protocol for implementing inline Raman spectroscopy in chromatography" LINK

Teaching Machine Learning at the moment and a student asks whether "PCA" stands for "Pretty Cool Algorithm" after I apparently used that phrase... That should really have been deliberate (it wasn't). I will never use "Principal Component Analysis" again. PrettyCoolAlgorithm LINK

"A screening method based on Visible-NIR spectroscopy for the identification and quantification of different adulterants in high-quality honey." LINK

"Chemometric studies of the effects of milk fat replacement with different proportions of vegetable oils in the formulation of fat-filled milk powders: Implications for quality assurance." LINK

"Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows" LINK

"NIR model transfer of alkali-soluble polysaccharides in Poria cocos with piecewise direct standardization" LINK

"Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy" LINK

"Application of hierarchical classification models and reliability estimation by bootstrapping, for authentication and discrimination of wine vinegars by UV-vis spectroscopy" LINK

"Geographical origin traceability of Cabernet Sauvignon wines based on Infrared fingerprint technology combined with chemometrics." LINK

"Determination of Adulteration Content in Extra Virgin Olive Oil Using FT-NIR Spectroscopy Combined with the BOSSPLS Algorithm" LINK




Near Infrared

"NIR-based Sudan I to IV and Para-Red food adulterants screening." Paprika adulteration LINK

"Nondestructive detection of rape leaf chlorophyll level based on Vis-NIR spectroscopy." LINK

"High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel" | New phenomics paper from Ge, Schnable, Sigmon and Yang labs of & LINK

High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel LINK

"Estimating dry matter and fat content in blocks of Swiss cheese during production using on-line near infrared spectroscopy" LINK

"Temperature-dependent near-infrared spectroscopy for studying the interactions in protein aqueous solutions" LINK

" 滑皮金桔糖度的近红外光谱无损检测技术." "Non-destructive testing technology of sugar content in Huapikumquat by near infrared spectroscopy" LINK

"Grading and Sorting of Grape Berries Using Visible-Near Infrared Spectroscopy on the Basis of Multiple Inner Quality Parameters" LINK

"Modified silver nanoparticles enhanced single drop micro extraction of tartrazine in food samples coupled with diffuse reflectance Fourier transform infrared spectroscopic analysis" LINK

"Multicolor lanthanide-doped CaS and SrS near-infrared stimulated luminescent nanoparticles with bright emission: application in broad-spectrum lighting, information coding, and bio-imaging." LINK

"The use of mid-infrared spectra to map genes affecting milk composition" |(19)30485-0/fulltext?rss=yes LINK




Raman

"Semi-Automated Heavy-Mineral Analysis by Raman Spectroscopy" Minerals LINK




Hyperspectral

"Discrimination of astringent and deastringed hard Rojo Brillante persimmon fruit using a sensory threshold by means of hyperspectral imaging" LINK

"Remote Sensing, Vol. 11, Pages 1485: Tensor Based Multiscale Low Rank Decomposition for Hyperspectral Images Dimensionality Reduction" LINK




Agriculture

"Applied Sciences, Vol. 9, Pages 2472: Comparison of Raman and Mid-Infrared Spectroscopy for Real-Time Monitoring of Yeast Fermentations: A Proof-of-Concept for Multi-Channel Photometric Sensors" LINK

"Agronomy, Vol. 9, Pages 293: Field Spectroscopy to Determine Nutritive Value Parameters of Individual Ryegrass Plants" LINK




Pharma

"Quantification of Inkjet-Printed Pharmaceuticals on Porous Substrates Using Raman Spectroscopy and Near-Infrared Spectroscopy" LINK




Laboratory

"Adapted-Consumer-Technology Approach to Making Near-Infrared-Reflectography Visualization of Paintings and Murals Accessible to a Wider Audience" - Journal of Chemical Education LINK





CalibrationModel.com

NIR Method Development Service for Labs and NIR-Vendors (OEM) LINK

Spectroscopy and Chemometrics News Weekly 25, 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 25, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensoren Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 25, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK




Chemometrics

"X-ray fluorescence and visible near infrared sensor fusion for predicting soil chromium content" LINK

"Staling of white wheat bread crumb and effect of maltogenic a-amylases. Part 2: Monitoring the staling process by using near infrared spectroscopy and chemometrics" LINK

"Rapid and Nondestructive Quantification of Trimethylamine by FT-NIR Coupled with Chemometric Techniques" Fish quality LINK

"Prediction of yerba mate caffeine content using near infrared spectroscopy" LINK

"Journal Highlight: A new flow cell and chemometric protocol for implementing inline Raman spectroscopy in chromatography" LINK

Teaching Machine Learning at the moment and a student asks whether "PCA" stands for "Pretty Cool Algorithm" after I apparently used that phrase... That should really have been deliberate (it wasn't). I will never use "Principal Component Analysis" again. PrettyCoolAlgorithm LINK

"A screening method based on Visible-NIR spectroscopy for the identification and quantification of different adulterants in high-quality honey." LINK

"Chemometric studies of the effects of milk fat replacement with different proportions of vegetable oils in the formulation of fat-filled milk powders: Implications for quality assurance." LINK

"Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows" LINK

"NIR model transfer of alkali-soluble polysaccharides in Poria cocos with piecewise direct standardization" LINK

"Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy" LINK

"Application of hierarchical classification models and reliability estimation by bootstrapping, for authentication and discrimination of wine vinegars by UV-vis spectroscopy" LINK

"Geographical origin traceability of Cabernet Sauvignon wines based on Infrared fingerprint technology combined with chemometrics." LINK

"Determination of Adulteration Content in Extra Virgin Olive Oil Using FT-NIR Spectroscopy Combined with the BOSSPLS Algorithm" LINK




Near Infrared

"NIR-based Sudan I to IV and Para-Red food adulterants screening." Paprika adulteration LINK

"Nondestructive detection of rape leaf chlorophyll level based on Vis-NIR spectroscopy." LINK

"High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel" | New phenomics paper from Ge, Schnable, Sigmon and Yang labs of & LINK

High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel LINK

"Estimating dry matter and fat content in blocks of Swiss cheese during production using on-line near infrared spectroscopy" LINK

"Temperature-dependent near-infrared spectroscopy for studying the interactions in protein aqueous solutions" LINK

" 滑皮金桔糖度的近红外光谱无损检测技术." "Non-destructive testing technology of sugar content in Huapikumquat by near infrared spectroscopy" LINK

"Grading and Sorting of Grape Berries Using Visible-Near Infrared Spectroscopy on the Basis of Multiple Inner Quality Parameters" LINK

"Modified silver nanoparticles enhanced single drop micro extraction of tartrazine in food samples coupled with diffuse reflectance Fourier transform infrared spectroscopic analysis" LINK

"Multicolor lanthanide-doped CaS and SrS near-infrared stimulated luminescent nanoparticles with bright emission: application in broad-spectrum lighting, information coding, and bio-imaging." LINK

"The use of mid-infrared spectra to map genes affecting milk composition" |(19)30485-0/fulltext?rss=yes LINK




Raman

"Semi-Automated Heavy-Mineral Analysis by Raman Spectroscopy" Minerals LINK




Hyperspectral

"Discrimination of astringent and deastringed hard Rojo Brillante persimmon fruit using a sensory threshold by means of hyperspectral imaging" LINK

"Remote Sensing, Vol. 11, Pages 1485: Tensor Based Multiscale Low Rank Decomposition for Hyperspectral Images Dimensionality Reduction" LINK




Agriculture

"Applied Sciences, Vol. 9, Pages 2472: Comparison of Raman and Mid-Infrared Spectroscopy for Real-Time Monitoring of Yeast Fermentations: A Proof-of-Concept for Multi-Channel Photometric Sensors" LINK

"Agronomy, Vol. 9, Pages 293: Field Spectroscopy to Determine Nutritive Value Parameters of Individual Ryegrass Plants" LINK




Pharma

"Quantification of Inkjet-Printed Pharmaceuticals on Porous Substrates Using Raman Spectroscopy and Near-Infrared Spectroscopy" LINK




Laboratory

"Adapted-Consumer-Technology Approach to Making Near-Infrared-Reflectography Visualization of Paintings and Murals Accessible to a Wider Audience" - Journal of Chemical Education LINK





CalibrationModel.com

NIR Method Development Service for Labs and NIR-Vendors (OEM) LINK

Spectroscopy and Chemometrics News Weekly 25, 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 25, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensoren Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 25, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK




Chemometrics

"X-ray fluorescence and visible near infrared sensor fusion for predicting soil chromium content" LINK

"Staling of white wheat bread crumb and effect of maltogenic a-amylases. Part 2: Monitoring the staling process by using near infrared spectroscopy and chemometrics" LINK

"Rapid and Nondestructive Quantification of Trimethylamine by FT-NIR Coupled with Chemometric Techniques" Fish quality LINK

"Prediction of yerba mate caffeine content using near infrared spectroscopy" LINK

"Journal Highlight: A new flow cell and chemometric protocol for implementing inline Raman spectroscopy in chromatography" LINK

Teaching Machine Learning at the moment and a student asks whether "PCA" stands for "Pretty Cool Algorithm" after I apparently used that phrase... That should really have been deliberate (it wasn't). I will never use "Principal Component Analysis" again. PrettyCoolAlgorithm LINK

"A screening method based on Visible-NIR spectroscopy for the identification and quantification of different adulterants in high-quality honey." LINK

"Chemometric studies of the effects of milk fat replacement with different proportions of vegetable oils in the formulation of fat-filled milk powders: Implications for quality assurance." LINK

"Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows" LINK

"NIR model transfer of alkali-soluble polysaccharides in Poria cocos with piecewise direct standardization" LINK

"Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy" LINK

"Application of hierarchical classification models and reliability estimation by bootstrapping, for authentication and discrimination of wine vinegars by UV-vis spectroscopy" LINK

"Geographical origin traceability of Cabernet Sauvignon wines based on Infrared fingerprint technology combined with chemometrics." LINK

"Determination of Adulteration Content in Extra Virgin Olive Oil Using FT-NIR Spectroscopy Combined with the BOSSPLS Algorithm" LINK




Near Infrared

"NIR-based Sudan I to IV and Para-Red food adulterants screening." Paprika adulteration LINK

"Nondestructive detection of rape leaf chlorophyll level based on Vis-NIR spectroscopy." LINK

"High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel" | New phenomics paper from Ge, Schnable, Sigmon and Yang labs of & LINK

High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel LINK

"Estimating dry matter and fat content in blocks of Swiss cheese during production using on-line near infrared spectroscopy" LINK

"Temperature-dependent near-infrared spectroscopy for studying the interactions in protein aqueous solutions" LINK

" 滑皮金桔糖度的近红外光谱无损检测技术." "Non-destructive testing technology of sugar content in Huapikumquat by near infrared spectroscopy" LINK

"Grading and Sorting of Grape Berries Using Visible-Near Infrared Spectroscopy on the Basis of Multiple Inner Quality Parameters" LINK

"Modified silver nanoparticles enhanced single drop micro extraction of tartrazine in food samples coupled with diffuse reflectance Fourier transform infrared spectroscopic analysis" LINK

"Multicolor lanthanide-doped CaS and SrS near-infrared stimulated luminescent nanoparticles with bright emission: application in broad-spectrum lighting, information coding, and bio-imaging." LINK

"The use of mid-infrared spectra to map genes affecting milk composition" |(19)30485-0/fulltext?rss=yes LINK




Raman

"Semi-Automated Heavy-Mineral Analysis by Raman Spectroscopy" Minerals LINK




Hyperspectral

"Discrimination of astringent and deastringed hard Rojo Brillante persimmon fruit using a sensory threshold by means of hyperspectral imaging" LINK

"Remote Sensing, Vol. 11, Pages 1485: Tensor Based Multiscale Low Rank Decomposition for Hyperspectral Images Dimensionality Reduction" LINK




Agriculture

"Applied Sciences, Vol. 9, Pages 2472: Comparison of Raman and Mid-Infrared Spectroscopy for Real-Time Monitoring of Yeast Fermentations: A Proof-of-Concept for Multi-Channel Photometric Sensors" LINK

"Agronomy, Vol. 9, Pages 293: Field Spectroscopy to Determine Nutritive Value Parameters of Individual Ryegrass Plants" LINK




Pharma

"Quantification of Inkjet-Printed Pharmaceuticals on Porous Substrates Using Raman Spectroscopy and Near-Infrared Spectroscopy" LINK




Laboratory

"Adapted-Consumer-Technology Approach to Making Near-Infrared-Reflectography Visualization of Paintings and Murals Accessible to a Wider Audience" - Journal of Chemical Education LINK





NIR Method Development Service for Labs and NIR-Vendors (OEM)

CalibrationModel.com ia a perfect match for
    – NIR Vendors    , selling NIR            , with limited capacity for NIR method development
    – Labs                , using NIR            , with limited capacity for NIR method development
    – small Labs       , starting with NIR , with no or less Chemometric knowledge


The Triple to success : faster better analytics
    LAB Reference Analytics + NIR Spectroscopy + ChemoMetrics
    LAB + NIR + CM
    => use CM as a Service : CalibrationModel



NIR Method Development : Before / After
    Before
    – The need of a chemometric software ($$)
    – The need of expert training courses (time,$$)
    – The need of manual expert work (time,$$$)
    with CalibrationModel
    – The freedom without a chemometric software
    – The freedom without being an expert
    – The freedom of using a Service ($)
    => work smart, not hard

See Cost Comparision


Workflow:
    Cloud Service
        DATA -> CalibrationModel -> CALIB
                    fix cost, pay per CALIB development and usage

    Local Usage (no internet connection)
        DATA -> CALIB + Predictor -> RESULT
                                included, no extra cost

    DATA = exported Spectra and (Lab-)reference values as JCAMP-DX or other data formats
    CALIB = single quantitative property


Sending DATA
    DATA is sent by email, 2-3 days later, receive email with link to
      WebShop to purchase CALIB with PayPal/CreditCard
    DATA is deleted after processing (Terms of Service TOS)
    optional: JCAMP
Anonymizer (removes sensitive information) before sending DATA


As Middleman you can hide/cover the Service (white-label)
    Customer <=============> CalibrationModel
                             or
    Customer <==>
Middleman <==> CalibrationModel
                         NIR Company
                         NIR Sales, Consultancy


Riskless Predictor OEM integration (white label) (in NIR-Vendors Instrument Software)
    Predictor as a hidden second engine (second Heart)
    Windows .NET, easy programming interface (API)


Ownership
    
DATA owner -> CALIB owner ==> use as your Pre-CALIB
    CALIB is licensed to owner and so copy protected
    The owner can Re-License a CALIB to others
    owner can re-sell CALIBs in its own WebShop with own prices


Re-Calibration
    DATA + DATA -> CALIB    same easy workflow as    DATA -> CALIB
    optimize from scratch, benefit from complete optimization possibilities


learn more

NIR-Predictor Software
Contact us for predictor integration



 

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

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.

Start Calibrate


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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