Posted on

Spectroscopy and Chemometrics News Weekly #31, 2018Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #31, 2018Spettroscopia e Chemiometria Weekly News #31, 2018

Chemometrics

How to Configure the Number of Layers and Nodes in NeuralNetworks: BigData DataScience AI MachineLearning DeepLearning Algorithms by Source for graphic: | abdsc (2018.08.02) LINK

"Visible-Near-Infrared Spectroscopy can predict Mass Transport of Dissolved Chemicals through Intact Soil." (2018.08.02) LINK

"Classification and compositional characterization of different varieties of cocoa beans by near infrared spectroscopy and multivariate statistical analyses." (2018.08.02) LINK

"Classification of Chicken Parts Using a Portable Near-Infrared (NIR) Spectrophotometer and Machine Learning." (2018.08.02) LINK

"Rapid Prediction of Low (<1%) trans Fat Content in Edible Oils and Fast Food Lipid Extracts by Infrared Spectroscopy and Partial Least Squares Regression" (2018.07.31) LINK

"Evaluating the performance of a consumer scale SCiO™ molecular sensor to predict quality of horticultural products" (2018.07.30) LINK

"Estimation of Total Phenols, Flavanols and Extractability of Phenolic Compounds in Grape Seeds Using Vibrational Spectroscopy and Chemometric Tools" (2018.07.26) LINK



Near Infrared

"FT-NIR, MicroNIR and LED-MicroNIR for Detection of Adulteration in Palm Oil via PLS and LDA" FTNIR NIRS (2018.08.03) LINK

"Long-Length Fiber Optic Near-Infrared (NIR) Spectroscopy Probes for On-Line Quality Control of Processed Land Animal Proteins" (2018.08.03) LINK

"Near-infrared spectroscopy for rapid and simultaneous determination of five main active components in rhubarb of different geographical origins and processing." (2018.08.02) LINK

"Marktech Optoelectronics Introduces Silicon Avalanche Photodiodes for Low-Level Light and Short Pulse Detection" UV NIR NIRS SWIR (2018.08.02) LINK

"Innovative Technology Promises Fast, Cost-Efficient Age Data for Fisheries Management" FTNIR (2018.07.31) LINK

"Rapid qualitative and quantitative analysis of methamphetamine, ketamine, heroin, and cocaine by near-infrared spectroscopy." (2018.07.31) LINK

We (led by ) have been independently assessing thew value of consumer scale NIR devices for horticultural quality assessment. Here is our published work assessing (2018.07.30) LINK



Infrared

"Fault Detection Based on Near-Infrared Spectra for the Oil Desalting Process" (2018.08.05) LINK

"Common Infrared Optical Materials and Coatings: A Guide to Properties, Performance and Applications" (2018.08.04) LINK



Raman

SpectraBase - FREE, fast text access to hundreds of thousands of NMR, IR, Raman, UV-Vis, and mass spectra! spectroscopy (2018.08.02) LINK



Agriculture

"Three-Dimensional Reconstruction of Soybean Canopies Using Multisource Imaging for Phenotyping Analysis" (2018.08.03) LINK

"Smartphone Spectroscopy Promises a Data-Rich Future - An upsurge of portable, consumer-facing devices at the intersection of smartphone computing and spectroscopy is now leveraging integration. " (2018.08.02) LINK

Innovative Technology Promises Fast, Cost-Efficient Age Data for Fisheries Management (2018.07.31) LINK

"Smartphone-Based Food Diagnostic Technologies: A Review" (2018.07.30) LINK



Petro

"Detection, Purity Analysis, and Quality Assurance of Adulterated Peanut (Arachis Hypogaea) Oils" (2018.08.02) LINK



Pharma

"Potential of near infrared spectroscopy and pattern recognition for rapid discrimination and quantification of Gleditsia sinensis thorn powder with adulterants." (2018.08.02) LINK



Medicinal

A micro-spectrometer fit for a smartphone: Could the power to measure things like CO2, food freshness, and blood sugar levels soon be in the palm of our hands? |rld/magazine/article/323/micro-spectrometer-opens-door-to-a-wealth-of-new-smartphone-functions?utm_source=twitter.com/CalibModel health safety medicine spectroscopy (2018.02.25) LINK

"Near-infrared spectroscopy detects age-related differences in skeletal muscle oxidative function: promising implications for geroscience." (2018.02.08) LINK




Other

69% of decision makers say industrial analytics will be crucial for business in 2020. | IoT IIoT MT LINK





CalibrationModel.com

Free Chemometric NIR Predictor Software! Simple plug&play calibrations, drag&drop spectral data, for any NIRS sensor device. Easy to use software for off-line and real-time prediction without limits. offline realtime (2018.08.04) LINK

Automated NIRS spectroscopy chemometrics method development with MachineLearning for spectrometer Spectral IoT sensor SmartSensor SmartSensors (2018.07.25) LINK

Automatic NIR Spectroscopy Calibration-Development as a Service. Applicable with free NIR-Predictor software or via OEM API. | NIRSpectroscopy NearInfrared NIRanalysis spectrometers DataAnalytics Regression Spectral Sensors QualityControl Lab (2018.07.26) LINK

Increase Your Profit with optimized NIRS Accuracy with Calibration as a Service (CaaS) and the new free NIR-Predictor software. | foodsafety Feed Lab QC QA testing (2018.08.03) LINK

New : FREE NIR Predictor Software, drag&drop spectral data to plug&play calibrations, for any NIRS Analysis sensor type. | Chemometrics Prediction (2018.07.24) LINK

Spectroscopy and Chemometrics News (KW 11-30 2018) | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors (2018.07.25) LINK

Spektroskopie und Chemometrie Neuigkeiten (KW 11-30 2018) | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor (2018.07.25) LINK

Spettroscopia e Chemiometria Weekly (KW 11-30 2018) | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore (2018.07.25) LINK

光谱学和化学计量学新闻（KW＃11-＃30 2018） | 近红外光谱化学计量学分析光谱仪传感器 (2018.07.26) LINK

分光法とケモメトリックスニュース（KW＃11-＃30 2018） | 赤外分光法・ケモメトリックスの分光センサーの近く (2018.07.26) LINK




Chemometrics

How to Configure the Number of Layers and Nodes in NeuralNetworks: BigData DataScience AI MachineLearning DeepLearning Algorithms by Source for graphic: | abdsc (2018.08.02) LINK

"Visible-Near-Infrared Spectroscopy can predict Mass Transport of Dissolved Chemicals through Intact Soil." (2018.08.02) LINK

"Classification and compositional characterization of different varieties of cocoa beans by near infrared spectroscopy and multivariate statistical analyses." (2018.08.02) LINK

"Classification of Chicken Parts Using a Portable Near-Infrared (NIR) Spectrophotometer and Machine Learning." (2018.08.02) LINK

"Rapid Prediction of Low (<1%) trans Fat Content in Edible Oils and Fast Food Lipid Extracts by Infrared Spectroscopy and Partial Least Squares Regression" (2018.07.31) LINK

"Evaluating the performance of a consumer scale SCiO™ molecular sensor to predict quality of horticultural products" (2018.07.30) LINK

"Estimation of Total Phenols, Flavanols and Extractability of Phenolic Compounds in Grape Seeds Using Vibrational Spectroscopy and Chemometric Tools" (2018.07.26) LINK



Near Infrared

"FT-NIR, MicroNIR and LED-MicroNIR for Detection of Adulteration in Palm Oil via PLS and LDA" FTNIR NIRS (2018.08.03) LINK

"Long-Length Fiber Optic Near-Infrared (NIR) Spectroscopy Probes for On-Line Quality Control of Processed Land Animal Proteins" (2018.08.03) LINK

"Near-infrared spectroscopy for rapid and simultaneous determination of five main active components in rhubarb of different geographical origins and processing." (2018.08.02) LINK

"Marktech Optoelectronics Introduces Silicon Avalanche Photodiodes for Low-Level Light and Short Pulse Detection" UV NIR NIRS SWIR (2018.08.02) LINK

"Innovative Technology Promises Fast, Cost-Efficient Age Data for Fisheries Management" FTNIR (2018.07.31) LINK

"Rapid qualitative and quantitative analysis of methamphetamine, ketamine, heroin, and cocaine by near-infrared spectroscopy." (2018.07.31) LINK

We (led by ) have been independently assessing thew value of consumer scale NIR devices for horticultural quality assessment. Here is our published work assessing (2018.07.30) LINK



Infrared

"Fault Detection Based on Near-Infrared Spectra for the Oil Desalting Process" (2018.08.05) LINK

"Common Infrared Optical Materials and Coatings: A Guide to Properties, Performance and Applications" (2018.08.04) LINK



Raman

SpectraBase - FREE, fast text access to hundreds of thousands of NMR, IR, Raman, UV-Vis, and mass spectra! spectroscopy (2018.08.02) LINK



Agriculture

"Three-Dimensional Reconstruction of Soybean Canopies Using Multisource Imaging for Phenotyping Analysis" (2018.08.03) LINK

"Smartphone Spectroscopy Promises a Data-Rich Future - An upsurge of portable, consumer-facing devices at the intersection of smartphone computing and spectroscopy is now leveraging integration. " (2018.08.02) LINK

Innovative Technology Promises Fast, Cost-Efficient Age Data for Fisheries Management (2018.07.31) LINK

"Smartphone-Based Food Diagnostic Technologies: A Review" (2018.07.30) LINK



Petro

"Detection, Purity Analysis, and Quality Assurance of Adulterated Peanut (Arachis Hypogaea) Oils" (2018.08.02) LINK



Pharma

"Potential of near infrared spectroscopy and pattern recognition for rapid discrimination and quantification of Gleditsia sinensis thorn powder with adulterants." (2018.08.02) LINK



Medicinal

A micro-spectrometer fit for a smartphone: Could the power to measure things like CO2, food freshness, and blood sugar levels soon be in the palm of our hands? |rld/magazine/article/323/micro-spectrometer-opens-door-to-a-wealth-of-new-smartphone-functions?utm_source=twitter.com/CalibModel health safety medicine spectroscopy (2018.02.25) LINK

"Near-infrared spectroscopy detects age-related differences in skeletal muscle oxidative function: promising implications for geroscience." (2018.02.08) LINK




Other

69% of decision makers say industrial analytics will be crucial for business in 2020. | IoT IIoT MT LINK





CalibrationModel.com

Free Chemometric NIR Predictor Software! Simple plug&play calibrations, drag&drop spectral data, for any NIRS sensor device. Easy to use software for off-line and real-time prediction without limits. offline realtime (2018.08.04) LINK

Automated NIRS spectroscopy chemometrics method development with MachineLearning for spectrometer Spectral IoT sensor SmartSensor SmartSensors (2018.07.25) LINK

Automatic NIR Spectroscopy Calibration-Development as a Service. Applicable with free NIR-Predictor software or via OEM API. | NIRSpectroscopy NearInfrared NIRanalysis spectrometers DataAnalytics Regression Spectral Sensors QualityControl Lab (2018.07.26) LINK

Increase Your Profit with optimized NIRS Accuracy with Calibration as a Service (CaaS) and the new free NIR-Predictor software. | foodsafety Feed Lab QC QA testing (2018.08.03) LINK

New : FREE NIR Predictor Software, drag&drop spectral data to plug&play calibrations, for any NIRS Analysis sensor type. | Chemometrics Prediction (2018.07.24) LINK

Spectroscopy and Chemometrics News (KW 11-30 2018) | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors (2018.07.25) LINK

Spektroskopie und Chemometrie Neuigkeiten (KW 11-30 2018) | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor (2018.07.25) LINK

Spettroscopia e Chemiometria Weekly (KW 11-30 2018) | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore (2018.07.25) LINK

光谱学和化学计量学新闻（KW＃11-＃30 2018） | 近红外光谱化学计量学分析光谱仪传感器 (2018.07.26) LINK

分光法とケモメトリックスニュース（KW＃11-＃30 2018） | 赤外分光法・ケモメトリックスの分光センサーの近く (2018.07.26) LINK




Chemometrics

How to Configure the Number of Layers and Nodes in NeuralNetworks: BigData DataScience AI MachineLearning DeepLearning Algorithms by Source for graphic: | abdsc (2018.08.02) LINK

"Visible-Near-Infrared Spectroscopy can predict Mass Transport of Dissolved Chemicals through Intact Soil." (2018.08.02) LINK

"Classification and compositional characterization of different varieties of cocoa beans by near infrared spectroscopy and multivariate statistical analyses." (2018.08.02) LINK

"Classification of Chicken Parts Using a Portable Near-Infrared (NIR) Spectrophotometer and Machine Learning." (2018.08.02) LINK

"Rapid Prediction of Low (<1%) trans Fat Content in Edible Oils and Fast Food Lipid Extracts by Infrared Spectroscopy and Partial Least Squares Regression" (2018.07.31) LINK

"Evaluating the performance of a consumer scale SCiO™ molecular sensor to predict quality of horticultural products" (2018.07.30) LINK

"Estimation of Total Phenols, Flavanols and Extractability of Phenolic Compounds in Grape Seeds Using Vibrational Spectroscopy and Chemometric Tools" (2018.07.26) LINK



Near Infrared

"FT-NIR, MicroNIR and LED-MicroNIR for Detection of Adulteration in Palm Oil via PLS and LDA" FTNIR NIRS (2018.08.03) LINK

"Long-Length Fiber Optic Near-Infrared (NIR) Spectroscopy Probes for On-Line Quality Control of Processed Land Animal Proteins" (2018.08.03) LINK

"Near-infrared spectroscopy for rapid and simultaneous determination of five main active components in rhubarb of different geographical origins and processing." (2018.08.02) LINK

"Marktech Optoelectronics Introduces Silicon Avalanche Photodiodes for Low-Level Light and Short Pulse Detection" UV NIR NIRS SWIR (2018.08.02) LINK

"Innovative Technology Promises Fast, Cost-Efficient Age Data for Fisheries Management" FTNIR (2018.07.31) LINK

"Rapid qualitative and quantitative analysis of methamphetamine, ketamine, heroin, and cocaine by near-infrared spectroscopy." (2018.07.31) LINK

We (led by ) have been independently assessing thew value of consumer scale NIR devices for horticultural quality assessment. Here is our published work assessing (2018.07.30) LINK



Infrared

"Fault Detection Based on Near-Infrared Spectra for the Oil Desalting Process" (2018.08.05) LINK

"Common Infrared Optical Materials and Coatings: A Guide to Properties, Performance and Applications" (2018.08.04) LINK



Raman

SpectraBase - FREE, fast text access to hundreds of thousands of NMR, IR, Raman, UV-Vis, and mass spectra! spectroscopy (2018.08.02) LINK



Agriculture

"Three-Dimensional Reconstruction of Soybean Canopies Using Multisource Imaging for Phenotyping Analysis" (2018.08.03) LINK

"Smartphone Spectroscopy Promises a Data-Rich Future - An upsurge of portable, consumer-facing devices at the intersection of smartphone computing and spectroscopy is now leveraging integration. " (2018.08.02) LINK

Innovative Technology Promises Fast, Cost-Efficient Age Data for Fisheries Management (2018.07.31) LINK

"Smartphone-Based Food Diagnostic Technologies: A Review" (2018.07.30) LINK



Petro

"Detection, Purity Analysis, and Quality Assurance of Adulterated Peanut (Arachis Hypogaea) Oils" (2018.08.02) LINK



Pharma

"Potential of near infrared spectroscopy and pattern recognition for rapid discrimination and quantification of Gleditsia sinensis thorn powder with adulterants." (2018.08.02) LINK



Medicinal

A micro-spectrometer fit for a smartphone: Could the power to measure things like CO2, food freshness, and blood sugar levels soon be in the palm of our hands? |rld/magazine/article/323/micro-spectrometer-opens-door-to-a-wealth-of-new-smartphone-functions?utm_source=twitter.com/CalibModel health safety medicine spectroscopy (2018.02.25) LINK

"Near-infrared spectroscopy detects age-related differences in skeletal muscle oxidative function: promising implications for geroscience." (2018.02.08) LINK




Other

69% of decision makers say industrial analytics will be crucial for business in 2020. | IoT IIoT MT LINK





CalibrationModel.com

Free Chemometric NIR Predictor Software! Simple plug&play calibrations, drag&drop spectral data, for any NIRS sensor device. Easy to use software for off-line and real-time prediction without limits. offline realtime (2018.08.04) LINK

Automated NIRS spectroscopy chemometrics method development with MachineLearning for spectrometer Spectral IoT sensor SmartSensor SmartSensors (2018.07.25) LINK

Automatic NIR Spectroscopy Calibration-Development as a Service. Applicable with free NIR-Predictor software or via OEM API. | NIRSpectroscopy NearInfrared NIRanalysis spectrometers DataAnalytics Regression Spectral Sensors QualityControl Lab (2018.07.26) LINK

Increase Your Profit with optimized NIRS Accuracy with Calibration as a Service (CaaS) and the new free NIR-Predictor software. | foodsafety Feed Lab QC QA testing (2018.08.03) LINK

New : FREE NIR Predictor Software, drag&drop spectral data to plug&play calibrations, for any NIRS Analysis sensor type. | Chemometrics Prediction (2018.07.24) LINK

Spectroscopy and Chemometrics News (KW 11-30 2018) | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors (2018.07.25) LINK

Spektroskopie und Chemometrie Neuigkeiten (KW 11-30 2018) | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor (2018.07.25) LINK

Spettroscopia e Chemiometria Weekly (KW 11-30 2018) | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore (2018.07.25) LINK

光谱学和化学计量学新闻（KW＃11-＃30 2018） | 近红外光谱化学计量学分析光谱仪传感器 (2018.07.26) LINK

分光法とケモメトリックスニュース（KW＃11-＃30 2018） | 赤外分光法・ケモメトリックスの分光センサーの近く (2018.07.26) LINK




Posted on

Spectroscopy and Chemometrics News #01-#10 2018Spektroskopie und Chemometrie Neuigkeiten #01-#10 2018Spettroscopia e Chemiometria #01-#10 2018

Chemometrics

Check out Applied Spectroscopy's special issue on chemometrics! (2018.03.10) LINK

"Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spe… (2018.02.27) LINK

"Outliers, Part II: Pitfalls in Detecting Outliers" (2018.02.22) LINK

Identification of ground meat species using near-infrared spectroscopy and class modeling techniques - Aspects o… (2018.01.31) LINK

"Combining Broadband Spectra and MachineLearning to Derive Material Properties" - Steve Buckley (2018.01.31) LINK

Near Infrared

"Near-Infrared Spectroscopic Study of Chlorite Minerals" (2018.02.27) LINK

"Comparison of Methods for Estimating Mechanical Properties of Wood by NIR Spectroscopy" | NIRS (2018.02.25) LINK

"Verification of Pharmaceutical Raw Materials Using FT-NIR Spectroscopy" | FTNIR (2018.02.19) LINK

"The scanner claims to help stylists determine natural hair color & health through the use of near-infrared and vi… (2018.02.05) LINK

Near-infrared reflectance spectroscopy (NIRS) calibrations for assessment of oil, phenols, glucosinolates and fat… (2018.02.02) LINK

This is how I choose avocados for dinner - see a video of our new VNIR hyperspectral sensor demo in action! https://t.… (2018.02.02) LINK!

Near infrared chemical analysis technique is a small piece of a big cake a large part of study known as spectroscopy.… (2018.01.09) LINK!

mRMR-based wavelength selection for NIRS quantitative detection of Chinese yellow wine (2018.01.09) LINK

Saturn's north polar hexagon in near-infrared, February 13 2017. Processed using data - (2018.01.08) LINK!

Infrared

Research on the Effects of Drying Temperature on Nitrogen Detection of Different Soil Types by Near Infrared… (2018.02.02) LINK

Application of Near Infrared Reflectance Spectroscopy for Rapid and Non-Destructive Discrimination of Hulled Barl… (2018.01.09) LINK



Hyperspectral

Press Release - Imec demonstrates Shortwave Infrared (SWIR) range hyperspectral imaging camera | http… (2018.02.02) LINK

Equipment

A micro-spectrometer fit for a smartphone: Could the power to measure things like CO2, food freshness, and blood su… (2018.02.25) LINK

TactiScan - unforeseen safety, efficiency and accuracy for detecting illicit narcotics. Visit TactiScan’s website for… (2018.02.22) LINK!

Ocean Optics () partners with Pyreos () on mid-IR spectroscopy solutions; laserfocusworld; see… (2018.02.08) LINK!

Ibsen ( ) Launches new Compact Spectrometer with Improved Resolution and 4096 Pixels (2018.02.02) LINK

Light Sensors: The Absorption Spectrometer, LIDAR, and Thermal Cameras on Display at CES 2018 (2018.02.02) LINK

more PIXELS ... "Spectroscopy: The full spectrum" (2018.02.02) LINK

Process Control

Development of NIR-Spectroscopy-based Process Monitoring Methodology for Pharmaceutical Continuous Manufacturing ... (2017.08.18) LINK



Environment

Nonlinear Regression with High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis (2018.02.02) LINK

Agriculture

Where Agriculture and Blockchain Could Meet (2018.02.02) LINK

Food & Feed

Rapid Determination of Active Compounds and Antioxidant Activity of Okra Seeds Using Fourier Transform Near Infrare… (2018.03.03) LINK

Fascinating read: Using spectroscopy to detect if milk is really grass-fed. One way to validate NZ's high-value food? The bes… (2018.02.08) LINK!

"How To Detect Coffee Fraud By Quantifying Robusta In Arabica Coffee Blends" - (2018.02.08) LINK

Measuring protein in semolina flour and durum wheat using Near Infrared Spectroscopy - Near Infrared Spectroscopy m… (2018.01.09) LINK

Medicinal

"Near-infrared spectroscopy detects age-related differences in skeletal muscle oxidative function: promising imp… (2018.02.08) LINK



Other

These are the best countries and cities for attracting and developing talent | work (2018.02.14) LINK

ESA's first launch of 2018 goes up tomorrow from China - it's only the size of a cereal box but equipped with micro-propulsio… (2018.02.02) LINK!

Hi, I’m a chemistry prof who loves over-the-top makeup. I’m teaching spectroscopy today, so seemed appropriate. Colors… (2018.02.02) LINK!

Chemometrics

Check out Applied Spectroscopy's special issue on chemometrics! (2018.03.10) LINK

"Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spe… (2018.02.27) LINK

"Outliers, Part II: Pitfalls in Detecting Outliers" (2018.02.22) LINK

Identification of ground meat species using near-infrared spectroscopy and class modeling techniques - Aspects o… (2018.01.31) LINK

"Combining Broadband Spectra and MachineLearning to Derive Material Properties" - Steve Buckley (2018.01.31) LINK

Near Infrared

"Near-Infrared Spectroscopic Study of Chlorite Minerals" (2018.02.27) LINK

"Comparison of Methods for Estimating Mechanical Properties of Wood by NIR Spectroscopy" | NIRS (2018.02.25) LINK

"Verification of Pharmaceutical Raw Materials Using FT-NIR Spectroscopy" | FTNIR (2018.02.19) LINK

"The scanner claims to help stylists determine natural hair color & health through the use of near-infrared and vi… (2018.02.05) LINK

Near-infrared reflectance spectroscopy (NIRS) calibrations for assessment of oil, phenols, glucosinolates and fat… (2018.02.02) LINK

This is how I choose avocados for dinner - see a video of our new VNIR hyperspectral sensor demo in action! https://t.… (2018.02.02) LINK!

Near infrared chemical analysis technique is a small piece of a big cake a large part of study known as spectroscopy.… (2018.01.09) LINK!

mRMR-based wavelength selection for NIRS quantitative detection of Chinese yellow wine (2018.01.09) LINK

Saturn's north polar hexagon in near-infrared, February 13 2017. Processed using data - (2018.01.08) LINK!

Infrared

Research on the Effects of Drying Temperature on Nitrogen Detection of Different Soil Types by Near Infrared… (2018.02.02) LINK

Application of Near Infrared Reflectance Spectroscopy for Rapid and Non-Destructive Discrimination of Hulled Barl… (2018.01.09) LINK



Hyperspectral

Press Release - Imec demonstrates Shortwave Infrared (SWIR) range hyperspectral imaging camera | http… (2018.02.02) LINK

Equipment

A micro-spectrometer fit for a smartphone: Could the power to measure things like CO2, food freshness, and blood su… (2018.02.25) LINK

TactiScan - unforeseen safety, efficiency and accuracy for detecting illicit narcotics. Visit TactiScan’s website for… (2018.02.22) LINK!

Ocean Optics () partners with Pyreos () on mid-IR spectroscopy solutions; laserfocusworld; see… (2018.02.08) LINK!

Ibsen ( ) Launches new Compact Spectrometer with Improved Resolution and 4096 Pixels (2018.02.02) LINK

Light Sensors: The Absorption Spectrometer, LIDAR, and Thermal Cameras on Display at CES 2018 (2018.02.02) LINK

more PIXELS ... "Spectroscopy: The full spectrum" (2018.02.02) LINK

Process Control

Development of NIR-Spectroscopy-based Process Monitoring Methodology for Pharmaceutical Continuous Manufacturing ... (2017.08.18) LINK



Environment

Nonlinear Regression with High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis (2018.02.02) LINK

Agriculture

Where Agriculture and Blockchain Could Meet (2018.02.02) LINK

Food & Feed

Rapid Determination of Active Compounds and Antioxidant Activity of Okra Seeds Using Fourier Transform Near Infrare… (2018.03.03) LINK

Fascinating read: Using spectroscopy to detect if milk is really grass-fed. One way to validate NZ's high-value food? The bes… (2018.02.08) LINK!

"How To Detect Coffee Fraud By Quantifying Robusta In Arabica Coffee Blends" - (2018.02.08) LINK

Measuring protein in semolina flour and durum wheat using Near Infrared Spectroscopy - Near Infrared Spectroscopy m… (2018.01.09) LINK

Medicinal

"Near-infrared spectroscopy detects age-related differences in skeletal muscle oxidative function: promising imp… (2018.02.08) LINK



Other

These are the best countries and cities for attracting and developing talent | work (2018.02.14) LINK

ESA's first launch of 2018 goes up tomorrow from China - it's only the size of a cereal box but equipped with micro-propulsio… (2018.02.02) LINK!

Hi, I’m a chemistry prof who loves over-the-top makeup. I’m teaching spectroscopy today, so seemed appropriate. Colors… (2018.02.02) LINK!

Chemometrics

Check out Applied Spectroscopy's special issue on chemometrics! (2018.03.10) LINK

"Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spe… (2018.02.27) LINK

"Outliers, Part II: Pitfalls in Detecting Outliers" (2018.02.22) LINK

Identification of ground meat species using near-infrared spectroscopy and class modeling techniques - Aspects o… (2018.01.31) LINK

"Combining Broadband Spectra and MachineLearning to Derive Material Properties" - Steve Buckley (2018.01.31) LINK

Near Infrared

"Near-Infrared Spectroscopic Study of Chlorite Minerals" (2018.02.27) LINK

"Comparison of Methods for Estimating Mechanical Properties of Wood by NIR Spectroscopy" | NIRS (2018.02.25) LINK

"Verification of Pharmaceutical Raw Materials Using FT-NIR Spectroscopy" | FTNIR (2018.02.19) LINK

"The scanner claims to help stylists determine natural hair color & health through the use of near-infrared and vi… (2018.02.05) LINK

Near-infrared reflectance spectroscopy (NIRS) calibrations for assessment of oil, phenols, glucosinolates and fat… (2018.02.02) LINK

This is how I choose avocados for dinner - see a video of our new VNIR hyperspectral sensor demo in action! https://t.… (2018.02.02) LINK!

Near infrared chemical analysis technique is a small piece of a big cake a large part of study known as spectroscopy.… (2018.01.09) LINK!

mRMR-based wavelength selection for NIRS quantitative detection of Chinese yellow wine (2018.01.09) LINK

Saturn's north polar hexagon in near-infrared, February 13 2017. Processed using data - (2018.01.08) LINK!

Infrared

Research on the Effects of Drying Temperature on Nitrogen Detection of Different Soil Types by Near Infrared… (2018.02.02) LINK

Application of Near Infrared Reflectance Spectroscopy for Rapid and Non-Destructive Discrimination of Hulled Barl… (2018.01.09) LINK



Hyperspectral

Press Release - Imec demonstrates Shortwave Infrared (SWIR) range hyperspectral imaging camera | http… (2018.02.02) LINK

Equipment

A micro-spectrometer fit for a smartphone: Could the power to measure things like CO2, food freshness, and blood su… (2018.02.25) LINK

TactiScan - unforeseen safety, efficiency and accuracy for detecting illicit narcotics. Visit TactiScan’s website for… (2018.02.22) LINK!

Ocean Optics () partners with Pyreos () on mid-IR spectroscopy solutions; laserfocusworld; see… (2018.02.08) LINK!

Ibsen ( ) Launches new Compact Spectrometer with Improved Resolution and 4096 Pixels (2018.02.02) LINK

Light Sensors: The Absorption Spectrometer, LIDAR, and Thermal Cameras on Display at CES 2018 (2018.02.02) LINK

more PIXELS ... "Spectroscopy: The full spectrum" (2018.02.02) LINK

Process Control

Development of NIR-Spectroscopy-based Process Monitoring Methodology for Pharmaceutical Continuous Manufacturing ... (2017.08.18) LINK



Environment

Nonlinear Regression with High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis (2018.02.02) LINK

Agriculture

Where Agriculture and Blockchain Could Meet (2018.02.02) LINK

Food & Feed

Rapid Determination of Active Compounds and Antioxidant Activity of Okra Seeds Using Fourier Transform Near Infrare… (2018.03.03) LINK

Fascinating read: Using spectroscopy to detect if milk is really grass-fed. One way to validate NZ's high-value food? The bes… (2018.02.08) LINK!

"How To Detect Coffee Fraud By Quantifying Robusta In Arabica Coffee Blends" - (2018.02.08) LINK

Measuring protein in semolina flour and durum wheat using Near Infrared Spectroscopy - Near Infrared Spectroscopy m… (2018.01.09) LINK

Medicinal

"Near-infrared spectroscopy detects age-related differences in skeletal muscle oxidative function: promising imp… (2018.02.08) LINK



Other

These are the best countries and cities for attracting and developing talent | work (2018.02.14) LINK

ESA's first launch of 2018 goes up tomorrow from China - it's only the size of a cereal box but equipped with micro-propulsio… (2018.02.02) LINK!

Hi, I’m a chemistry prof who loves over-the-top makeup. I’m teaching spectroscopy today, so seemed appropriate. Colors… (2018.02.02) LINK!

Posted on

Spectroscopy and Chemometrics News Weekly #38-#42, 2017Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #38-#42, 2017Spettroscopia e Chemiometria Weekly News #38-#42, 2017


Near Infrared

UV-VIS, NIR, FTIR, Raman, fluorescence, XRF brands with recognized file formats by optical spectroscopy software http… LINK!


"Shrinking FT-NIR Spectrometers Empower Consumers, Businesses" | NIRS sensors LINK


Feasibility of near infrared transmittance spectroscopy to predict cheese ripeness |(17)30860-3/abstract NIRS predict cheese ripeness LINK


John Deere HarvestLab 3000 uses NIR Spectroscopy to evaluate constituent characteristics such as protein, NDF, ADF LINK


Near-Infrared Spectroscopy of Limestone Ore for CaO Estimation under Dry and Wet Conditions LINK



Equipment

"Infrared spectrometers: NIR and MIR compared" | Infrared spectrometer LINK


"Shrinking FT-NIR Spectrometers Empower Consumers, Businesses" NeoSpectraMicro spectral sensors technology https://… LINK!


How to Design a Spectrometer | grating spectrograph Spectrometer engineering optical absorption LINK

Equipment

Real-Time Food Authentication Using a Miniature Mass Spectrometer LINK



Agriculture

Non-destructive technique for determining the viability of soybean (Glycine max) seeds using FT-NIR spectroscopy. LINK


Mid- and near-IR spectroscopy diagnostic tools developed under EU project LINK


"Supercontinuum Lasers Lead to Better Bread and Beer" | barley grains beta-glucan seed sorting LINK


Fluorescence and Reflectance Sensor Comparison in Winter Wheat LINK



Food & Feed

"Food Safety for the 21st Century" | FSMA spectroscopy blockchain LINK



Laboratory

Development and Bioanalytical Applications of a White Light Reflectance Spectroscopy Label-Free Sensing Platform LINK



Environment

Spectroscopy Could Simplify Soil Texture Analysis LINK


Effects of Moisture & Particle Size on Quantitative Determination of TOC in Soils Using NIR Spectroscopy LINK


A global spectral library to characterize the world's soil LINK



Chemometrics

Feasibility of near infrared transmittance spectroscopy to predict cheese ripeness. LINK


Chemometric compositional analysis of phenolic compounds in fermenting samples & wines using infrared spectroscopy. LINK


... Chemometric tactics for spectral data compression combined with likelihood ratio approach. LINK


Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics | DeepLearning LINK


First revolutionary NIR seed calibration robot makes predicting quality seeds easy, debuts at seedme… LINK!


Chemometrics: Data Driven Extraction for Science, 2nd Edition LINK


Near Infrared Spectrometry for Rapid Non-Invasive Modelling of Aspergillus-Contaminated Maturing Kernels of Maize LINK




Selecting the number of factors in principal component analysis by permutation testing—Numerical & practical aspects LINK


"Calibration Transfer Chemometrics, Part I: Review of the Subject" | NIRS Spectroscopy Chemometrics LINK


Extraction optimization and pixel-based chemometric analysis of semi-volatile organic compounds in groundwater LINK



CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 31-37, 2017 | Molecular Spectroscopy NIRS Chemometrics Sensors LINK


Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 31-37, 2017 | NIRS Spektroskopie Chemometrie Sensor LINK


Spettroscopia e Chemiometria Weekly News 31-37, 2017 | NIRS Spettroscopia Chemiometria sensore LINK





Near Infrared

UV-VIS, NIR, FTIR, Raman, fluorescence, XRF brands with recognized file formats by optical spectroscopy software http… LINK!


"Shrinking FT-NIR Spectrometers Empower Consumers, Businesses" | NIRS sensors LINK


Feasibility of near infrared transmittance spectroscopy to predict cheese ripeness |(17)30860-3/abstract NIRS predict cheese ripeness LINK


John Deere HarvestLab 3000 uses NIR Spectroscopy to evaluate constituent characteristics such as protein, NDF, ADF LINK


Near-Infrared Spectroscopy of Limestone Ore for CaO Estimation under Dry and Wet Conditions LINK



Equipment

"Infrared spectrometers: NIR and MIR compared" | Infrared spectrometer LINK


"Shrinking FT-NIR Spectrometers Empower Consumers, Businesses" NeoSpectraMicro spectral sensors technology https://… LINK!


How to Design a Spectrometer | grating spectrograph Spectrometer engineering optical absorption LINK

Equipment

Real-Time Food Authentication Using a Miniature Mass Spectrometer LINK



Agriculture

Non-destructive technique for determining the viability of soybean (Glycine max) seeds using FT-NIR spectroscopy. LINK


Mid- and near-IR spectroscopy diagnostic tools developed under EU project LINK


"Supercontinuum Lasers Lead to Better Bread and Beer" | barley grains beta-glucan seed sorting LINK


Fluorescence and Reflectance Sensor Comparison in Winter Wheat LINK



Food & Feed

"Food Safety for the 21st Century" | FSMA spectroscopy blockchain LINK



Laboratory

Development and Bioanalytical Applications of a White Light Reflectance Spectroscopy Label-Free Sensing Platform LINK



Environment

Spectroscopy Could Simplify Soil Texture Analysis LINK


Effects of Moisture & Particle Size on Quantitative Determination of TOC in Soils Using NIR Spectroscopy LINK


A global spectral library to characterize the world's soil LINK



Chemometrics

Feasibility of near infrared transmittance spectroscopy to predict cheese ripeness. LINK


Chemometric compositional analysis of phenolic compounds in fermenting samples & wines using infrared spectroscopy. LINK


... Chemometric tactics for spectral data compression combined with likelihood ratio approach. LINK


Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics | DeepLearning LINK


First revolutionary NIR seed calibration robot makes predicting quality seeds easy, debuts at seedme… LINK!


Chemometrics: Data Driven Extraction for Science, 2nd Edition LINK


Near Infrared Spectrometry for Rapid Non-Invasive Modelling of Aspergillus-Contaminated Maturing Kernels of Maize LINK




Selecting the number of factors in principal component analysis by permutation testing—Numerical & practical aspects LINK


"Calibration Transfer Chemometrics, Part I: Review of the Subject" | NIRS Spectroscopy Chemometrics LINK


Extraction optimization and pixel-based chemometric analysis of semi-volatile organic compounds in groundwater LINK



CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 31-37, 2017 | Molecular Spectroscopy NIRS Chemometrics Sensors LINK


Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 31-37, 2017 | NIRS Spektroskopie Chemometrie Sensor LINK


Spettroscopia e Chemiometria Weekly News 31-37, 2017 | NIRS Spettroscopia Chemiometria sensore LINK





Near Infrared

UV-VIS, NIR, FTIR, Raman, fluorescence, XRF brands with recognized file formats by optical spectroscopy software http… LINK!


"Shrinking FT-NIR Spectrometers Empower Consumers, Businesses" | NIRS sensors LINK


Feasibility of near infrared transmittance spectroscopy to predict cheese ripeness |(17)30860-3/abstract NIRS predict cheese ripeness LINK


John Deere HarvestLab 3000 uses NIR Spectroscopy to evaluate constituent characteristics such as protein, NDF, ADF LINK


Near-Infrared Spectroscopy of Limestone Ore for CaO Estimation under Dry and Wet Conditions LINK



Equipment

"Infrared spectrometers: NIR and MIR compared" | Infrared spectrometer LINK


"Shrinking FT-NIR Spectrometers Empower Consumers, Businesses" NeoSpectraMicro spectral sensors technology https://… LINK!


How to Design a Spectrometer | grating spectrograph Spectrometer engineering optical absorption LINK

Equipment

Real-Time Food Authentication Using a Miniature Mass Spectrometer LINK



Agriculture

Non-destructive technique for determining the viability of soybean (Glycine max) seeds using FT-NIR spectroscopy. LINK


Mid- and near-IR spectroscopy diagnostic tools developed under EU project LINK


"Supercontinuum Lasers Lead to Better Bread and Beer" | barley grains beta-glucan seed sorting LINK


Fluorescence and Reflectance Sensor Comparison in Winter Wheat LINK



Food & Feed

"Food Safety for the 21st Century" | FSMA spectroscopy blockchain LINK



Laboratory

Development and Bioanalytical Applications of a White Light Reflectance Spectroscopy Label-Free Sensing Platform LINK



Environment

Spectroscopy Could Simplify Soil Texture Analysis LINK


Effects of Moisture & Particle Size on Quantitative Determination of TOC in Soils Using NIR Spectroscopy LINK


A global spectral library to characterize the world's soil LINK



Chemometrics

Feasibility of near infrared transmittance spectroscopy to predict cheese ripeness. LINK


Chemometric compositional analysis of phenolic compounds in fermenting samples & wines using infrared spectroscopy. LINK


... Chemometric tactics for spectral data compression combined with likelihood ratio approach. LINK


Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics | DeepLearning LINK


First revolutionary NIR seed calibration robot makes predicting quality seeds easy, debuts at seedme… LINK!


Chemometrics: Data Driven Extraction for Science, 2nd Edition LINK


Near Infrared Spectrometry for Rapid Non-Invasive Modelling of Aspergillus-Contaminated Maturing Kernels of Maize LINK




Selecting the number of factors in principal component analysis by permutation testing—Numerical & practical aspects LINK


"Calibration Transfer Chemometrics, Part I: Review of the Subject" | NIRS Spectroscopy Chemometrics LINK


Extraction optimization and pixel-based chemometric analysis of semi-volatile organic compounds in groundwater LINK



CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 31-37, 2017 | Molecular Spectroscopy NIRS Chemometrics Sensors LINK


Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 31-37, 2017 | NIRS Spektroskopie Chemometrie Sensor LINK


Spettroscopia e Chemiometria Weekly News 31-37, 2017 | NIRS Spettroscopia Chemiometria sensore LINK




Posted on

Spectroscopy and Chemometrics News Weekly #25-30, 2017Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #25-30, 2017Spettroscopia e Chemiometria Weekly News #25-30, 2017

Chemometrics

"New insights in forensic chemistry: NIR/Chemometrics analysis of toners for QD examination" | NIRS LINK

"Common Mistakes in Cross-Validating Classification Models" LINK

Determination of cannabinoids in hemp nut products in Taiwan by HPLC-MS/MS coupled with chemometric analysis LINK

Prediction of local and global tomato texture and quality by FT-NIR spectroscopy and chemometric | penetrometry LINK

Quantification of the contents in biojet fuel blends using near infrared spectroscopy and multivariate calibration LINK

Statistical Aspects of Near-Infrared Spectroscopy for the Characterization of Errors and ModelBuilding LINK

Development of a Direct Spectrophotometric and Chemometric Method for Determining Food Dye Concentrations LINK

Evaluation of chemometric methodologies for the classification of Coffea canephora cultivars v/ FT-NIR spectroscopy LINK

Investigation of Pre-Processing, Wavelength Selection, & Regression Methods on NIRS Calibration Model Performance LINK

Grading of Chinese Cantonese Sausage Using Hyperspectral Imaging Combined with Chemometric Methods LINK


Near Infrared

"Designing a calibration set in spectral space for efficient development of an NIR method for tablet analysis" | NIRS LINK

"At-line prediction of mineral composition of fresh cheeses using near-infrared technologies" |(17)30598-2/fulltext?utm_source=twitter.com/CalibModel NIRS LINK

VBaeten showing just how different the same wheat flours look spectrally over 19 NIR instruments icnirs2017 LINK!

Project to create NIR packaging alternatives. plastic recycling NIRS LINK

Handheld NIR Engine The i-Spec Nano compact, from B&W Tek Inc. | NIRS spectrometer LINK

Trend Expected to Guide Near-infrared Spectroscopy Market from 2016-2021 : Growth Analysis by Manufacturers ... LINK

Review of the Principles and Applications of Near-Infrared Spectroscopy to Characterize Meat, Fat, and MeatProducts LINK

Viavi Introduces the MicroNIR™ Transmission Fixture for Precision Material Analysis | MaterialAnalysis NIRS LINK

Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy | NIRS Antioxidant LINK

. Animal Nutrition collaborate with Consumer Physics | AnimalNutrition NIRS spectrometer LINK


Hyperspectral

"Application of NIR hyperspectral imaging to discriminate different geographical origins of Chinese wolfberries." LINK



Facts

"Essential CheatSheets for MachineLearning and DeepLearning Engineers" LINK



Laboratory

Optimising analysis in the lab with modern instruments & high-performance software partnering LINK!


Pharma

Identifying Pharmaceutical Raw Materials with Pattern Recognition and MicroNIR™ Spectroscopy w/ … LINK!


Equipment

Discr. forchlorfenuron-treated kiwifruits with portable spectrometer & Vis/NIR diffuse transmittance spectroscopy LINK

Agilent Expands into Raman Spectroscopy with Purchase of Cobalt Light Systems LINK



Agriculture

Animal Nutrition has selected Consumer Physics to collaborate | forageanalysis NIRS spectrometer LINK



Other

Asian Spectroscopy Conference (ASC2017) on 3-6 September 2017, Taiwan LINK

Understanding Polarization and its Benefits LINK

"Chemical Characterization and Determination of the Anti-Oxidant Capacity of Two Brown Algae with Respect to ..." LINK



CalibrationModel.com

Spectroscopy & Chemometrics News Weekly 21-24, 2017 | Spectrometer Sensor Spectroscopy NIRS Chemometrics Raman LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 21-24, 2017 | NIRS Spektroskopie Chemometrie Spektrometer LINK

Spettroscopia e Chemiometria Weekly News 21-24, 2017 | NIRS Spettroscopia Chemiometria sensor LINK



We make NIR Chemometrics easyWir machen NIR Chemometrie einfach

Hi, we're CalibrationModel. Our aim is to transform your NIR data to superior calibration models. We do this by using knowledge driven software applying good practices and rules from literature, publications, regulatory guidelines and more. Our service is used by NIR specialists to deliver a valuable model for their NIR analysis measurements. With CalibrationModel services, NIR specialists can find out how their NIR Data can be robust and optimally modeled by which data preprocessing and wavelength selection, etc. You can implement CalibrationModel in a matter of minutes using our contact form and send your NIR data to receive optimized model settings as a blueprint.

NIR specialists (Spectroscopist, Chemometricians) love perfect models. They're curious about how to improve their models even further, because all NIR models need continuous maintenance and updates.


Using CalibrationModel services, NIR Specialists can deliver real value to their measurement results through powerful model optimization capabilities.


CalibrationModel
We make NIR Chemometrics easy.

Near-Infrared Data Modeling Calibration Service

Hi, we're CalibrationModel. Our aim is to transform your NIR data to superior calibration models. We do this by using knowledge driven software applying good practices and rules from literature, publications, regulatory guidelines and more. Our service is used by NIR specialists to deliver a valuable model for their NIR analysis measurements. With CalibrationModel services, NIR specialists can find out how their NIR Data can be robust and optimally modeled by which data preprocessing and wavelength selection, etc. You can implement CalibrationModel in a matter of minutes using our contact form and send your NIR data to receive optimized model settings as a blueprint.

NIR specialists (Spectroscopist, Chemometricians) love perfect models. They're curious about how to improve their models even further, because all NIR models need continuous maintenance and updates.


Using CalibrationModel services, NIR Specialists can deliver real value to their measurement results through powerful model optimization capabilities.


CalibrationModel
We make NIR Chemometrics easy.

Near-Infrared Data Modeling Calibration Service

Hi, we're CalibrationModel. Our aim is to transform your NIR data to superior calibration models. We do this by using knowledge driven software applying good practices and rules from literature, publications, regulatory guidelines and more. Our service is used by NIR specialists to deliver a valuable model for their NIR analysis measurements. With CalibrationModel services, NIR specialists can find out how their NIR Data can be robust and optimally modeled by which data preprocessing and wavelength selection, etc. You can implement CalibrationModel in a matter of minutes using our contact form and send your NIR data to receive optimized model settings as a blueprint.

NIR specialists (Spectroscopist, Chemometricians) love perfect models. They're curious about how to improve their models even further, because all NIR models need continuous maintenance and updates.


Using CalibrationModel services, NIR Specialists can deliver real value to their measurement results through powerful model optimization capabilities.


CalibrationModel
We make NIR Chemometrics easy.

Near-Infrared Data Modeling Calibration Service

NIR Spectroscopy Calibration Report for quantitative predictive models

When you send your quantitative NIR spectra data to our NIR Calibration Model Service, you get a detailed calibration report (calibration protocol) of the found optimal calibration settings, so you are able to see all insights (ISO 12099) and easily capable to re-build the model in your NIR/Chemometric software.

Here is a part of our calibration report, that exactly describes the data used in the calibration set (CSet), the validation set (VSet) and the test set (TSet). The numbers are the number ids of the spectra in your delivered NIR data file.

The calibration method settings and parameters are

Waveselection : the variable selection or wavenumber selection or wavelength selection

Pretreatments : the spectral data pre-processing

PCs : the number of  Principal Components (PC) or Latent Variables (LV)

Method : the modeling method algorithm used, e.g. PLS

Then the statistical analysis of the PLS model by the different sets (CSet, VSet, Tset).

Calibration Report

Statistical analysis of calibration, validation and test results : 1 Name, 2 Unit, 3 N : number of spectra, 4 N : number of samples, 5 Average spectra count per sample, 6 Reference values, 7 Min, 8 Mean, 9 Median, 10 Max, 11 Standard deviation, 12 Skewness : left (-) or right (+) lack of symmetry, 13 Kurtosis : flat (-) or peaked (+) shape, 14 Model statistics, 15 RPD, 16 R², 17 RMSEC, RMSEP, RMSET : root mean square of prediction errors, 18 SEC, SEP, SET : standard error (bias corrected), 19 Bias, 20 Skewness of prediction errors, 21 Kurtosis of prediction errors, 22 Intercept, 23 Slope, 24 Intercept (reverse), 25 Slope (reverse), 26 Sample Prediction Repeatability Error, 27 Sample Prediction Repeatability Error (of Missing data MSet)

This shows how we deliver the optimal settings. With the statistical values, the NIR model predicted values of all spectra and additional plots you are able to compare with your re-built model to verify that the models perform nearly equally.

Your Calibration Report including all calibration-, validation- and test statistics and plots can be downloaded from our Web-Shop after processing of your Calibration Request.

How to develop near-infrared spectroscopy calibrations in the 21st Century? / Wie werden Nahinfrarotspektroskopie Kalibrierungen im 21. Jahrhundert entwickelt?

The Problem

Calibration modeling is a complex and very important part of NIR spectroscopy, especially for quantitative analysis. If the model is badly designed the best instrument precision and highest data quality does not help getting good and robust measurement results. And NIR Spectroscopy requires periodically recalibration and validation.

How are NIR models built today?

In a typical usage in industry, a single person is responsible to develop the models (see survey). He or she uses a Chemometric software that has a click-and-wait working process to adjust all the possible settings for the used algorithms in dialogs and wait for calculations and graphics and then to think about the next modeling steps and the time is limited to do so. Do we expect to find the best use-able or optimal model that way? How to develop near-infrared spectroscopy calibrations in the 21st Century?

Our Solution

Why not put all the knowledge a good model builder is using into software and let the machines do the possibilities of calculations and presenting the result? Designing the software that way, that the domain knowledge is built-in, not just only the algorithms for machine learning and make it possible to scale the calculations to multi-core computers and up to cloud servers. Extend the Chemometric Software with the Domain Knowledge and make as much computer power available as needed.

As it was since the beginning

User  → Chemometric Software → one Computer → some results to choose from

==> User's time needed to click-and-wait for creating results

Our Solution

User → (Domain Knowledge → automatized Chemometric Software) → many Computers → the best models

==> User's time used to study the best models and reasoning about his product / process

Note that the “Domain Knowledge” here does perfectly support the User's product and process knowledge to get the things done right and efficient.

Scaling at three layers

  • Knowledge : use the domain knowledge to drive the Chemometric Software
  • Chemometric Software : support many machine learning algorithms and data pre-processings and make it automatic
  • Computer : support multi-core calculations and scale it to the cloud
The hard part in doing this, is of course the aggregation of the needed domain knowledge and transform it into software. The Domain Knowledge for building Chemometric NIR Spectroscopic models is well known and it's huge and spreads multiple disciplines. Knowledge-driven software for computing helps to find the gold needle in the haystacks. It's all about scaling that makes it possible. See Proof of Concept.

New possibilities

  • NIR users can get help working more efficient and getting better models.
  • New types of applications for NIR can be discovered.
  • Evaluation of NIR Applications to replace conventional analytical methods.
  • Hopeless calibrations development efforts can be re-started.
  • Higher model accuracy and robustness can be delivered.
  • Automate the experimental data part of your application study.
  • Person independent optimization will show new solutions, because it's not limited by a single mindset => combining all the aggregated knowledge and its combinations.
  • Software independent optimization will show new solutions, because none of vendor specific limitations and missing algorithms are present => combining all open available algorithms and there permutations.
  • Computing service is included.

Contact us for trial

Your NIR data is modeled by thousands of different useful calibration models and you get the best of them! That was not possible before in such a easy and fast way! Start Calibrate See How it works

NIR Calibration Modeling (Part 2)NIR Kalibrationsentwicklung (Teil 2)NIR calibrazione Modeling (parte 2)

( to part 1 )

All the below categories are implemented by using multiple different algorithms and formulas which leads to many different calibrations.

Steps in modeling
  • Data Cleaning - (bad data, missing values, duplicate elimination, spectral quality / intensity / noise, input value typing errors, …)
  • Initial Calibration set up - selection of calibration, validation and test samples
  • Wavelengths selection
  • Data preprocessing, pretreatments
  • Method calculation
  • Choosing the number of Principal Components / Latent Variables
  • Validation of calibration model / Statistics of performance - (accuracy, precision, linearity, repeatability, range, distribution, robustness / stability, sensitivity, simplicity, etc.)
  • Outlier examination and removal


The problem of choosing the optimal number of factors to find the optimum between underfitting and overfitting is solved by having multiple methods and protocols implemented leading to multiple calibrations.

The evaluation and the selection of the best calibration is based on many individual statistical values including the most popular RMSEP, SEP, Bias, SEC, R2 and PCs etc.

Results and Reporting

A detailed calibration report is provided detailing the best available calibration containing all calibration parameter settings and statistics of prediction performance of the calibration set, the validation set and the test set. A visual expression of the calibration is provided with the most importance plots.

Our service works with any quantitative NIR spectra data set in the standard JCAMP-DX format and uses mainly PLS and PCR to be compatible with other chemometric calibration software.

( zu Teil 1 )

Alle folgenden Kategorien werden durch die Verwendung mehrerer verschiedener Algorithmen und Formeln umgesetzt, was zu vielen unterschiedlichen Kalibrierungen führt.

Arbeitsschritte bei der Modell Erstellung
  • Daten Bereinigung - (schlechte Daten, fehlende Werte, Duplikateliminierung, spektrale Qualität / Intensität / Rauschen, Eingabewert Tippfehler, ...)
  • Initial Kalibrierung einrichten - Auswahl der Kalibrierungs-, Validierungs- und Test-Sets
  • Wellenlängen Auswahl
  • Datenvorverarbeitung, Datenvorbehandlungen
  • Method Berechnung
  • Die Wahl der Anzahl der Hauptkomponenten / Latente Variablen / Faktoren
  • Validierung des Kalibrierungs Modell / Performance Statistiken - (Genauigkeit, Präzision, Linearität, Wiederholbarkeit, Reichweite, Verteilung, Robustheit / Stabilität, Empfindlichkeit, Einfachheit, etc.)
  • Ausreißer Untersuchung und Beseitigung


Das Problem der Wahl der optimalen Anzahl von Faktoren, um das Optimum zwischen Unterfittung und Überfittung zu finden, wird gelöst durch mehrere implementierte Methoden und Protokollen, was zu mehreren Kalibrierungen führt.

Die Auswertung und die Auswahl der besten Kalibrierung basiert auf vielen einzelnen statistischen Werten, einschließlich der beliebtesten RMSEP, SEP, Bias, SEC, R2 und PCs usw.

Ergebnisse und Berichte

Eine detailliertes Kalibrierprotokoll wird bereitgestellt, das die beste verfügbare Kalibrierung detailliert mit allen Kalibrierparameter Einstellungen und Statistiken der Vorhersage Leistung des Kalibrier-Sets, des Validierungs-Sets und des Test-Sets beinhaltet. Eine visuelle Betrachtung der Kalibrierung wird mit den wichtigsten Grafiken zur Verfügung gestellt.

Unser Service funktioniert mit jedem quantitative NIR-Spektren Daten Satz im Standardformat JCAMP-DX-Format und verwendet hauptsächlich PLS und PCR um kompatibel zu sein mit anderen chemometrischen Kalibrierungssoftwaren.

( to part 1 )

All the below categories are implemented by using multiple different algorithms and formulas which leads to many different calibrations.

Steps in modeling
  • Data Cleaning - (bad data, missing values, duplicate elimination, spectral quality / intensity / noise, input value typing errors, …)
  • Initial Calibration set up - selection of calibration, validation and test samples
  • Wavelengths selection
  • Data preprocessing, pretreatments
  • Method calculation
  • Choosing the number of Principal Components / Latent Variables
  • Validation of calibration model / Statistics of performance - (accuracy, precision, linearity, repeatability, range, distribution, robustness / stability, sensitivity, simplicity, etc.)
  • Outlier examination and removal


The problem of choosing the optimal number of factors to find the optimum between underfitting and overfitting is solved by having multiple methods and protocols implemented leading to multiple calibrations.

The evaluation and the selection of the best calibration is based on many individual statistical values including the most popular RMSEP, SEP, Bias, SEC, R2 and PCs etc.

Results and Reporting

A detailed calibration report is provided detailing the best available calibration containing all calibration parameter settings and statistics of prediction performance of the calibration set, the validation set and the test set. A visual expression of the calibration is provided with the most importance plots.

Our service works with any quantitative NIR spectra data set in the standard JCAMP-DX format and uses mainly PLS and PCR to be compatible with other chemometric calibration software.

Posted on

Summary of the NIR Chemometric survey pollsSummary of the NIR Chemometric survey polls

Summary of the NIR Chemometric survey polls (as of end of Sept. 2013)

The interesting finding is that most of the answers fit the following pattern. The most companies that use NIR have one NIR Instrument and only one employee that is able to develop NIR calibrations. For that the most common off-the-shelf chemometrics program is used and spent 2 hours or over a month and therefore gets no calibration training about the complex topics like Chemometrics and NIR Spectroscopy or only once (introduction). The calibration maintenance ranges from never to 3 times a year. Interestingly, there was no one who uses portable NIR instruments. We continue our surveys, for the discovery of new trends. Conclusion Seeing this picture, we think that there is huge potential to improve the calibrations. Advanced knowledge can help individuals to build the calibrations with best practices and improve their models accuracy and reliability. Once the decision and investment in NIR technology is done, you should get the best out of your data, because this extra NIR performance can be given by calibration optimization. We offer this as an easy to use and independent service.

Summary of the NIR Chemometric survey polls (as of end of Sept. 2013)

The interesting finding is that most of the answers fit the following pattern. The most companies that use NIR have one NIR Instrument and only one employee that is able to develop NIR calibrations. For that the most common off-the-shelf chemometrics program is used and spent 2 hours or over a month and therefore gets no calibration training about the complex topics like Chemometrics and NIR Spectroscopy or only once (introduction). The calibration maintenance ranges from never to 3 times a year. Interestingly, there was no one who uses portable NIR instruments. We continue our surveys, for the discovery of new trends. Conclusion Seeing this picture, we think that there is huge potential to improve the calibrations. Advanced knowledge can help individuals to build the calibrations with best practices and improve their models accuracy and reliability. Once the decision and investment in NIR technology is done, you should get the best out of your data, because this extra NIR performance can be given by calibration optimization. We offer this as an easy to use and independent service.