Spectroscopy and Chemometrics News Weekly #2, 2019Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #2, 2019Spettroscopia e Chemiometria Weekly News #2, 2019

CalibrationModel.com

Develop customized NIRS applications and freeing up hours of spectroscopy analysts time | spectroscopist chemist laboratory LINK

Increase Your Profit with optimized NIR Accuracy Beverage Processing Dairy LINK

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

Optimization of Chemical Analysis with NIR Spectrometer by re-calibration of multivariate data model | nearIR Lab LINK




Chemometrics

"Maintaining the predictive abilities of egg freshness models on new variety based on VIS-NIR spectroscopy technique" LINK

"Ancient human bones studied and compared by near infrared spectroscopy, thermogravimetry and chemometrics" LINK

"Feasibility study on nondestructive methods for identification of the origin of nephrite based on near-infrared spectroscopy and chemometrics" LINK

"Rapid authentication of European sea bass (Dicentrarchus labrax L.) according to production method, farming system, and geographical origin by near infrared spectroscopy coupled with chemometrics" LINK

"Removing the moisture effect in soil organic matter determination using NIR spectroscopy and PLSR with external parameter orthogonalization" LINK

"Prediction of meat quality traits in Nelore cattle by near-infrared reflectance spectroscopy." LINK

"Metabolic fingerprinting of waterstressed soybean cultivars by gas chromatography, nearinfrared and UVvisible spectroscopy combined with chemometrics" LINK

"Smartphone-based image analysis and chemometric pattern recognition of the thin-layer chromatographic fingerprints of herbal materials" LINK

"Use of near infrared spectroscopy and chemometrics to evaluate the shelf-life of cloudy sonicated apple juice" LINK

"Influence of soil sample preparation on the quantification of NPK content via spectroscopy" LINK




Near Infrared

"Non-destructive Evaluation of Monosaccharides from Two Local Rice Varieties Using NIR Spectroscopy for Disease Prevention Through Dietary Mitigation" LINK

"New fNIR optical imaging systems" fNIRS LINK

"Kati Yag Içeriginin Belirlenmesinde Yakin Kizil Ötesi Spektroskopisinin (NIR) Kullanimi" LINK

Using NIR Spectroscopy for Osteoarthritis treatment by Avantes BV NIR spectroscopy osteoarthritis LINK




Infrared

"Non-destructive assessment of the oxidative stability of intact macadamia nuts during the drying process by near-infrared spectroscopy" LINK

"Evaluation of sapodilla fruit quality using near-infrared spectroscopy" LINK

"Effect of agro-climatic conditions on near infrared spectra of extra virgin olive oils" |t/index.php/SORT/article/view/347339 LINK

"Detection of oil yield from oil shale based on Near-Infrared Spectroscopy combined with Wavelet Transform and Least Squares Support Vector Machines" LINK

"Comparison of Lipid Plaque Composition and Reduction During Percutaneous Coronary Intervention Between Patients With Acute Coronary Syndrome and Stable Angina: A Near-Infrared Spectroscopy Analysis" LINK

"Applicability of near infrared spectroscopy for real-time soil detection during automatic dishwashing" LINK

"Spectral interval optimization on rapid determination of prohibited addition in pesticide by ATRFTIR" LINK

"Using near infrared measurements to evaluate NaCl and KCl in water" LINK

"Rapid determination of lumbrokinase potency in the earthworm extract intermediate by near-infrared spectroscopy" LINK




Raman

"Portable spectroscopic system for in vivo skin neoplasms diagnostics by Raman and autofluorescence analysis." LINK




Research

The emerging market for cannabis is evolving rapidly on a global scale. Attitudes toward marijuana, medicalmarijuana, legalization, are changing. And the Committee on Cannabis has been at the forefront of standards development in the industry. Read LINK

Lebensmittel retten: Food-Scanner für die Hosentasche | spektrometer lebensmittelanalytik foodscanner LINK




Equipment

Si-Ware NeoSpectra is First Spectrometer Built Into Beauty Product LINK

"Quantitative analysis of a pharmaceutical formulation: Performance comparison of different handheld near-infrared spectrometers." LINK

"Galaxy Scientific Announces Availability of New Fiber Optic Multiplexer for NIR Spectrometers" LINK

"Performance comparison between a miniaturized and a conventional near infrared reflectance (NIR) spectrometer for characterizing soil carbon and nitrogen" LINK




Agriculture

"Electrostatic-assemblies of single-walled carbon nanotubes and sequence-tunable peptoid polymers detect a lectin protein and its target sugars" LINK




Forestry

"Endogenous phytohormones of frankincense producing Boswellia sacra tree populations" LINK




Food & Feed

"Determination of Pigments in Virgin and Extra-Virgin Olive Oils: A Comparison between Two Near UV-Vis Spectroscopic Techniques" Foods LINK




Pharma

"Near Infrared Spectroscopy Based on Supervised Pattern Recognition Methods for Rapid Identification of Adulterated Edible Gelatin" LINK




Medicinal

"Dietary nitrate improves muscle microvascular reactivity and lowers blood pressure at rest and during isometric exercise in untreated hypertensives" LINK

"Obstructive sleep-disordered breathing in children: Impact on the developing brain" LINK




Other

"The Hemodynamic changes during cupping therapy monitored by using an optical sensor embedded cup" LINK

IBM unveils its first commercial quantum computer LINK

Controlling Neurons With Light LINK




CalibrationModel.com

Develop customized NIRS applications and freeing up hours of spectroscopy analysts time | spectroscopist chemist laboratory LINK

Increase Your Profit with optimized NIR Accuracy Beverage Processing Dairy LINK

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

Optimization of Chemical Analysis with NIR Spectrometer by re-calibration of multivariate data model | nearIR Lab LINK




Chemometrics

"Maintaining the predictive abilities of egg freshness models on new variety based on VIS-NIR spectroscopy technique" LINK

"Ancient human bones studied and compared by near infrared spectroscopy, thermogravimetry and chemometrics" LINK

"Feasibility study on nondestructive methods for identification of the origin of nephrite based on near-infrared spectroscopy and chemometrics" LINK

"Rapid authentication of European sea bass (Dicentrarchus labrax L.) according to production method, farming system, and geographical origin by near infrared spectroscopy coupled with chemometrics" LINK

"Removing the moisture effect in soil organic matter determination using NIR spectroscopy and PLSR with external parameter orthogonalization" LINK

"Prediction of meat quality traits in Nelore cattle by near-infrared reflectance spectroscopy." LINK

"Metabolic fingerprinting of waterstressed soybean cultivars by gas chromatography, nearinfrared and UVvisible spectroscopy combined with chemometrics" LINK

"Smartphone-based image analysis and chemometric pattern recognition of the thin-layer chromatographic fingerprints of herbal materials" LINK

"Use of near infrared spectroscopy and chemometrics to evaluate the shelf-life of cloudy sonicated apple juice" LINK

"Influence of soil sample preparation on the quantification of NPK content via spectroscopy" LINK




Near Infrared

"Non-destructive Evaluation of Monosaccharides from Two Local Rice Varieties Using NIR Spectroscopy for Disease Prevention Through Dietary Mitigation" LINK

"New fNIR optical imaging systems" fNIRS LINK

"Kati Yag Içeriginin Belirlenmesinde Yakin Kizil Ötesi Spektroskopisinin (NIR) Kullanimi" LINK

Using NIR Spectroscopy for Osteoarthritis treatment by Avantes BV NIR spectroscopy osteoarthritis LINK




Infrared

"Non-destructive assessment of the oxidative stability of intact macadamia nuts during the drying process by near-infrared spectroscopy" LINK

"Evaluation of sapodilla fruit quality using near-infrared spectroscopy" LINK

"Effect of agro-climatic conditions on near infrared spectra of extra virgin olive oils" |t/index.php/SORT/article/view/347339 LINK

"Detection of oil yield from oil shale based on Near-Infrared Spectroscopy combined with Wavelet Transform and Least Squares Support Vector Machines" LINK

"Comparison of Lipid Plaque Composition and Reduction During Percutaneous Coronary Intervention Between Patients With Acute Coronary Syndrome and Stable Angina: A Near-Infrared Spectroscopy Analysis" LINK

"Applicability of near infrared spectroscopy for real-time soil detection during automatic dishwashing" LINK

"Spectral interval optimization on rapid determination of prohibited addition in pesticide by ATRFTIR" LINK

"Using near infrared measurements to evaluate NaCl and KCl in water" LINK

"Rapid determination of lumbrokinase potency in the earthworm extract intermediate by near-infrared spectroscopy" LINK




Raman

"Portable spectroscopic system for in vivo skin neoplasms diagnostics by Raman and autofluorescence analysis." LINK




Research

The emerging market for cannabis is evolving rapidly on a global scale. Attitudes toward marijuana, medicalmarijuana, legalization, are changing. And the Committee on Cannabis has been at the forefront of standards development in the industry. Read LINK

Lebensmittel retten: Food-Scanner für die Hosentasche | spektrometer lebensmittelanalytik foodscanner LINK




Equipment

Si-Ware NeoSpectra is First Spectrometer Built Into Beauty Product LINK

"Quantitative analysis of a pharmaceutical formulation: Performance comparison of different handheld near-infrared spectrometers." LINK

"Galaxy Scientific Announces Availability of New Fiber Optic Multiplexer for NIR Spectrometers" LINK

"Performance comparison between a miniaturized and a conventional near infrared reflectance (NIR) spectrometer for characterizing soil carbon and nitrogen" LINK




Agriculture

"Electrostatic-assemblies of single-walled carbon nanotubes and sequence-tunable peptoid polymers detect a lectin protein and its target sugars" LINK




Forestry

"Endogenous phytohormones of frankincense producing Boswellia sacra tree populations" LINK




Food & Feed

"Determination of Pigments in Virgin and Extra-Virgin Olive Oils: A Comparison between Two Near UV-Vis Spectroscopic Techniques" Foods LINK




Pharma

"Near Infrared Spectroscopy Based on Supervised Pattern Recognition Methods for Rapid Identification of Adulterated Edible Gelatin" LINK




Medicinal

"Dietary nitrate improves muscle microvascular reactivity and lowers blood pressure at rest and during isometric exercise in untreated hypertensives" LINK

"Obstructive sleep-disordered breathing in children: Impact on the developing brain" LINK




Other

"The Hemodynamic changes during cupping therapy monitored by using an optical sensor embedded cup" LINK

IBM unveils its first commercial quantum computer LINK

Controlling Neurons With Light LINK




CalibrationModel.com

Develop customized NIRS applications and freeing up hours of spectroscopy analysts time | spectroscopist chemist laboratory LINK

Increase Your Profit with optimized NIR Accuracy Beverage Processing Dairy LINK

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

Optimization of Chemical Analysis with NIR Spectrometer by re-calibration of multivariate data model | nearIR Lab LINK




Chemometrics

"Maintaining the predictive abilities of egg freshness models on new variety based on VIS-NIR spectroscopy technique" LINK

"Ancient human bones studied and compared by near infrared spectroscopy, thermogravimetry and chemometrics" LINK

"Feasibility study on nondestructive methods for identification of the origin of nephrite based on near-infrared spectroscopy and chemometrics" LINK

"Rapid authentication of European sea bass (Dicentrarchus labrax L.) according to production method, farming system, and geographical origin by near infrared spectroscopy coupled with chemometrics" LINK

"Removing the moisture effect in soil organic matter determination using NIR spectroscopy and PLSR with external parameter orthogonalization" LINK

"Prediction of meat quality traits in Nelore cattle by near-infrared reflectance spectroscopy." LINK

"Metabolic fingerprinting of waterstressed soybean cultivars by gas chromatography, nearinfrared and UVvisible spectroscopy combined with chemometrics" LINK

"Smartphone-based image analysis and chemometric pattern recognition of the thin-layer chromatographic fingerprints of herbal materials" LINK

"Use of near infrared spectroscopy and chemometrics to evaluate the shelf-life of cloudy sonicated apple juice" LINK

"Influence of soil sample preparation on the quantification of NPK content via spectroscopy" LINK




Near Infrared

"Non-destructive Evaluation of Monosaccharides from Two Local Rice Varieties Using NIR Spectroscopy for Disease Prevention Through Dietary Mitigation" LINK

"New fNIR optical imaging systems" fNIRS LINK

"Kati Yag Içeriginin Belirlenmesinde Yakin Kizil Ötesi Spektroskopisinin (NIR) Kullanimi" LINK

Using NIR Spectroscopy for Osteoarthritis treatment by Avantes BV NIR spectroscopy osteoarthritis LINK




Infrared

"Non-destructive assessment of the oxidative stability of intact macadamia nuts during the drying process by near-infrared spectroscopy" LINK

"Evaluation of sapodilla fruit quality using near-infrared spectroscopy" LINK

"Effect of agro-climatic conditions on near infrared spectra of extra virgin olive oils" |t/index.php/SORT/article/view/347339 LINK

"Detection of oil yield from oil shale based on Near-Infrared Spectroscopy combined with Wavelet Transform and Least Squares Support Vector Machines" LINK

"Comparison of Lipid Plaque Composition and Reduction During Percutaneous Coronary Intervention Between Patients With Acute Coronary Syndrome and Stable Angina: A Near-Infrared Spectroscopy Analysis" LINK

"Applicability of near infrared spectroscopy for real-time soil detection during automatic dishwashing" LINK

"Spectral interval optimization on rapid determination of prohibited addition in pesticide by ATRFTIR" LINK

"Using near infrared measurements to evaluate NaCl and KCl in water" LINK

"Rapid determination of lumbrokinase potency in the earthworm extract intermediate by near-infrared spectroscopy" LINK




Raman

"Portable spectroscopic system for in vivo skin neoplasms diagnostics by Raman and autofluorescence analysis." LINK




Research

The emerging market for cannabis is evolving rapidly on a global scale. Attitudes toward marijuana, medicalmarijuana, legalization, are changing. And the Committee on Cannabis has been at the forefront of standards development in the industry. Read LINK

Lebensmittel retten: Food-Scanner für die Hosentasche | spektrometer lebensmittelanalytik foodscanner LINK




Equipment

Si-Ware NeoSpectra is First Spectrometer Built Into Beauty Product LINK

"Quantitative analysis of a pharmaceutical formulation: Performance comparison of different handheld near-infrared spectrometers." LINK

"Galaxy Scientific Announces Availability of New Fiber Optic Multiplexer for NIR Spectrometers" LINK

"Performance comparison between a miniaturized and a conventional near infrared reflectance (NIR) spectrometer for characterizing soil carbon and nitrogen" LINK




Agriculture

"Electrostatic-assemblies of single-walled carbon nanotubes and sequence-tunable peptoid polymers detect a lectin protein and its target sugars" LINK




Forestry

"Endogenous phytohormones of frankincense producing Boswellia sacra tree populations" LINK




Food & Feed

"Determination of Pigments in Virgin and Extra-Virgin Olive Oils: A Comparison between Two Near UV-Vis Spectroscopic Techniques" Foods LINK




Pharma

"Near Infrared Spectroscopy Based on Supervised Pattern Recognition Methods for Rapid Identification of Adulterated Edible Gelatin" LINK




Medicinal

"Dietary nitrate improves muscle microvascular reactivity and lowers blood pressure at rest and during isometric exercise in untreated hypertensives" LINK

"Obstructive sleep-disordered breathing in children: Impact on the developing brain" LINK




Other

"The Hemodynamic changes during cupping therapy monitored by using an optical sensor embedded cup" LINK

IBM unveils its first commercial quantum computer LINK

Controlling Neurons With Light LINK




Spectroscopy and Chemometrics News Weekly #50, 2018Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #50, 2018Spettroscopia e Chemiometria Weekly News #50, 2018

CalibrationModel.com

Near Infrared (NIR) Analysis Software, work smart with all NIR Spectrometers for quantitative sensing & detection. | AnalyticalChemistry LabManger Chemical Analysis Equipment ChemicalAnalysis Analytical Instruments Laboratory LabEquipment LINK

Spectroscopy and Chemometrics News Weekly 49, 2018 | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors Spectrometry LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 49, 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 49, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK


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


Chemometrics

"Prediction of Sugar and Acidity Contents in Pineapple using Near Infrared Spectroscopy" LINK

"Authenticity Analysis of Almond Powder using FT-NIR Spectroscopy and Chemometrics" LINK

"Chemometrics in China - Discover a special issue highlighting the best of Chinese chemometrics research" LINK

"Cetane number prediction of waste cooking oil-derived biodiesel prior to transesterification reaction using near infrared spectroscopy" LINK

"Tea types classification with data fusion of UV-Vis, synchronous fluorescence and NIR spectroscopies and chemometric analysis" LINK

"Qualitative and quantitative analysis of counterfeit Fluconazole capsules: A non-invasive approach using NIR spectroscopy and chemometrics" LINK

"Comparison of Multivariable Techniques for Brand Classification of Turmeric Powders by Near-infrared (NIR) Spectroscopy" LINK




Infrared

"Research on Near Infrared Spectroscopy Application for Aflatoxin Testing on Rice" LINK

"Antioxidant capacity of Camellia japonica cultivars assessed by near- and mid-infrared spectroscopy" LINK

"Evaluation of Carbohydrate Concentrations in Phalaenopsis Using Near-infrared Spectroscopy" LINK

"Nondestructive egg freshness assessment from the equatorial and blunt region based on visible near infrared spectroscopy" LINK

"Detection of parameters in solid state fermentation of Monascus by near infrared spectroscopy" LINK




Hyperspectral

"Hyperspectral imaging under low illumination with a single photon camera" LINK




Spectral Imaging

"Vegetation monitoring using multispectral sensors - best practices and lessons learned from high latitudes" NDVI UAV LINK




Agriculture

"Non-destructive Determination of Moisture Content of Livestock Feed" LINK

"Application of Spectral Analysis and Wavelenghth Selection Techniques to Agricultural Products" LINK




Medicinal

"Non Invasive Blood Glucose Detection along with an Assistive Diabetes Monitoring App" LINK




Laboratory

"High-performance and scalable on-chip digital Fourier transform spectroscopy" LINK




Other

"A review of optical methods for continuous glucose monitoring" LINK

"Preiswerte Chips revolutionieren optische Spektrometrie" LINK






CalibrationModel.com

Near Infrared (NIR) Analysis Software, work smart with all NIR Spectrometers for quantitative sensing & detection. | AnalyticalChemistry LabManger Chemical Analysis Equipment ChemicalAnalysis Analytical Instruments Laboratory LabEquipment LINK

Spectroscopy and Chemometrics News Weekly 49, 2018 | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors Spectrometry LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 49, 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 49, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK


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


Chemometrics

"Prediction of Sugar and Acidity Contents in Pineapple using Near Infrared Spectroscopy" LINK

"Authenticity Analysis of Almond Powder using FT-NIR Spectroscopy and Chemometrics" LINK

"Chemometrics in China - Discover a special issue highlighting the best of Chinese chemometrics research" LINK

"Cetane number prediction of waste cooking oil-derived biodiesel prior to transesterification reaction using near infrared spectroscopy" LINK

"Tea types classification with data fusion of UV-Vis, synchronous fluorescence and NIR spectroscopies and chemometric analysis" LINK

"Qualitative and quantitative analysis of counterfeit Fluconazole capsules: A non-invasive approach using NIR spectroscopy and chemometrics" LINK

"Comparison of Multivariable Techniques for Brand Classification of Turmeric Powders by Near-infrared (NIR) Spectroscopy" LINK




Infrared

"Research on Near Infrared Spectroscopy Application for Aflatoxin Testing on Rice" LINK

"Antioxidant capacity of Camellia japonica cultivars assessed by near- and mid-infrared spectroscopy" LINK

"Evaluation of Carbohydrate Concentrations in Phalaenopsis Using Near-infrared Spectroscopy" LINK

"Nondestructive egg freshness assessment from the equatorial and blunt region based on visible near infrared spectroscopy" LINK

"Detection of parameters in solid state fermentation of Monascus by near infrared spectroscopy" LINK




Hyperspectral

"Hyperspectral imaging under low illumination with a single photon camera" LINK




Spectral Imaging

"Vegetation monitoring using multispectral sensors - best practices and lessons learned from high latitudes" NDVI UAV LINK




Agriculture

"Non-destructive Determination of Moisture Content of Livestock Feed" LINK

"Application of Spectral Analysis and Wavelenghth Selection Techniques to Agricultural Products" LINK




Medicinal

"Non Invasive Blood Glucose Detection along with an Assistive Diabetes Monitoring App" LINK




Laboratory

"High-performance and scalable on-chip digital Fourier transform spectroscopy" LINK




Other

"A review of optical methods for continuous glucose monitoring" LINK

"Preiswerte Chips revolutionieren optische Spektrometrie" LINK






CalibrationModel.com

Near Infrared (NIR) Analysis Software, work smart with all NIR Spectrometers for quantitative sensing & detection. | AnalyticalChemistry LabManger Chemical Analysis Equipment ChemicalAnalysis Analytical Instruments Laboratory LabEquipment LINK

Spectroscopy and Chemometrics News Weekly 49, 2018 | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors Spectrometry LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 49, 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 49, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK


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


Chemometrics

"Prediction of Sugar and Acidity Contents in Pineapple using Near Infrared Spectroscopy" LINK

"Authenticity Analysis of Almond Powder using FT-NIR Spectroscopy and Chemometrics" LINK

"Chemometrics in China - Discover a special issue highlighting the best of Chinese chemometrics research" LINK

"Cetane number prediction of waste cooking oil-derived biodiesel prior to transesterification reaction using near infrared spectroscopy" LINK

"Tea types classification with data fusion of UV-Vis, synchronous fluorescence and NIR spectroscopies and chemometric analysis" LINK

"Qualitative and quantitative analysis of counterfeit Fluconazole capsules: A non-invasive approach using NIR spectroscopy and chemometrics" LINK

"Comparison of Multivariable Techniques for Brand Classification of Turmeric Powders by Near-infrared (NIR) Spectroscopy" LINK




Infrared

"Research on Near Infrared Spectroscopy Application for Aflatoxin Testing on Rice" LINK

"Antioxidant capacity of Camellia japonica cultivars assessed by near- and mid-infrared spectroscopy" LINK

"Evaluation of Carbohydrate Concentrations in Phalaenopsis Using Near-infrared Spectroscopy" LINK

"Nondestructive egg freshness assessment from the equatorial and blunt region based on visible near infrared spectroscopy" LINK

"Detection of parameters in solid state fermentation of Monascus by near infrared spectroscopy" LINK




Hyperspectral

"Hyperspectral imaging under low illumination with a single photon camera" LINK




Spectral Imaging

"Vegetation monitoring using multispectral sensors - best practices and lessons learned from high latitudes" NDVI UAV LINK




Agriculture

"Non-destructive Determination of Moisture Content of Livestock Feed" LINK

"Application of Spectral Analysis and Wavelenghth Selection Techniques to Agricultural Products" LINK




Medicinal

"Non Invasive Blood Glucose Detection along with an Assistive Diabetes Monitoring App" LINK




Laboratory

"High-performance and scalable on-chip digital Fourier transform spectroscopy" LINK




Other

"A review of optical methods for continuous glucose monitoring" LINK

"Preiswerte Chips revolutionieren optische Spektrometrie" LINK






Spectroscopy and Chemometrics News Weekly #40, 2018Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #40, 2018Spettroscopia e Chemiometria Weekly News #40, 2018

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


CalibrationModel.com

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

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

Spectroscopy and Chemometrics News Weekly 39, 2018 | NIRS NIR Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors quality control laboratories LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich, KW 39 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 39, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK




Chemometrics

"Development and validation of near-infrared spectroscopy for the prediction of forage quality parameters in Lolium multiflorum." LINK

"Determination of pesticides in flour substrate by chemometric methods using terahertz spectroscopy" LINK

"Accuracy of Predicting the Moisture Content of Three Types of Wood Sections Using Near Infrared Spectroscopy" LINK

"Soil fertility assessment by Vis-NIR spectroscopy: Predicting soil functioning rather than availability indices" LINK




Near Infrared

"Discrimination of Chili Powder Origin Using Inductively Coupled Plasma–Mass Spectrometry (ICP-MS), Inductively Coupled Plasma–Optical Emission Spectroscopy (ICP-OES), and Near Infrared (NIR) Spectroscopy" LINK

"A digitalization strategy for quality control in food industry based on Artificial Intelligence techniques" NIRS Sensory LINK

"MicaSense releases new sensor Altum and introduces sensors powered by DJI - Geospatial World (press release) (blog)" NIR LINK

"Identification of Hybrid Okra Seeds Based on Near-Infrared Hyperspectral Imaging Technology" LINK

"Tensile deformation of polyamide (PA) 6 probed by rheo-optical near-infrared (NIR) spectroscopy" LINK

"Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran." LINK

"The application of FT‐NIRS for the detection of bruises and the prediction of rot susceptibility of 'Hass' avocado fruit" FTNIRS LINK

"The potential of near infrared spectroscopy (NIRS) to trace apple origin: Study on different cultivars and orchard elevations" fruits LINK




Infrared

"Recent advancement in near infrared spectroscopy and hyperspectral imaging techniques for quality and safety assessment of agricultural and food products in the …" LINK




Hyperspectral

"Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)" LINK

"Determination of Total Polysaccharides and Total Flavonoids in Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging and Multivariate Analysis." LINK




Equipment

"The common quantitative model for the determination of multiple near infrared spectrometers" LINK




Agriculture

"The inversion of nitrogen balance index in typical growth period of soybean based on high definition digital image and hyperspectral data on unmanned aerial vehicles" LINK




Food & Feed

"Nitrogen Distribution Analysis for All Seeds of Cowpea (Vigna unguiculata) Using Single-Seed near Infrared Spectroscopy" foodsecurity foodsafety LINK




Chemical

"Outlook on optical identification of micro- and nanoplastics in aquatic environments." LINK




Pharma

"The Potential of the Quick Detection of Selectins Using Raman Spectroscopy to Discriminate Lung Cancer Patients from Healthy Subjects" LINK




Medicinal

"Non-invasive monitoring of blood glucose using optical methods for skin spectroscopy-opportunities and recent advances." LINK




Other

This reads like a noir SciFi Thriller LINK

" 红松仁脂肪的近红外光谱定量检测 Quantitative detection of fat in peeled Korean pine seeds using near infra-red spectroscopy" LINK





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


CalibrationModel.com

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

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

Spectroscopy and Chemometrics News Weekly 39, 2018 | NIRS NIR Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors quality control laboratories LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich, KW 39 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 39, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK




Chemometrics

"Development and validation of near-infrared spectroscopy for the prediction of forage quality parameters in Lolium multiflorum." LINK

"Determination of pesticides in flour substrate by chemometric methods using terahertz spectroscopy" LINK

"Accuracy of Predicting the Moisture Content of Three Types of Wood Sections Using Near Infrared Spectroscopy" LINK

"Soil fertility assessment by Vis-NIR spectroscopy: Predicting soil functioning rather than availability indices" LINK




Near Infrared

"Discrimination of Chili Powder Origin Using Inductively Coupled Plasma–Mass Spectrometry (ICP-MS), Inductively Coupled Plasma–Optical Emission Spectroscopy (ICP-OES), and Near Infrared (NIR) Spectroscopy" LINK

"A digitalization strategy for quality control in food industry based on Artificial Intelligence techniques" NIRS Sensory LINK

"MicaSense releases new sensor Altum and introduces sensors powered by DJI - Geospatial World (press release) (blog)" NIR LINK

"Identification of Hybrid Okra Seeds Based on Near-Infrared Hyperspectral Imaging Technology" LINK

"Tensile deformation of polyamide (PA) 6 probed by rheo-optical near-infrared (NIR) spectroscopy" LINK

"Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran." LINK

"The application of FT‐NIRS for the detection of bruises and the prediction of rot susceptibility of 'Hass' avocado fruit" FTNIRS LINK

"The potential of near infrared spectroscopy (NIRS) to trace apple origin: Study on different cultivars and orchard elevations" fruits LINK




Infrared

"Recent advancement in near infrared spectroscopy and hyperspectral imaging techniques for quality and safety assessment of agricultural and food products in the …" LINK




Hyperspectral

"Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)" LINK

"Determination of Total Polysaccharides and Total Flavonoids in Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging and Multivariate Analysis." LINK




Equipment

"The common quantitative model for the determination of multiple near infrared spectrometers" LINK




Agriculture

"The inversion of nitrogen balance index in typical growth period of soybean based on high definition digital image and hyperspectral data on unmanned aerial vehicles" LINK




Food & Feed

"Nitrogen Distribution Analysis for All Seeds of Cowpea (Vigna unguiculata) Using Single-Seed near Infrared Spectroscopy" foodsecurity foodsafety LINK




Chemical

"Outlook on optical identification of micro- and nanoplastics in aquatic environments." LINK




Pharma

"The Potential of the Quick Detection of Selectins Using Raman Spectroscopy to Discriminate Lung Cancer Patients from Healthy Subjects" LINK




Medicinal

"Non-invasive monitoring of blood glucose using optical methods for skin spectroscopy-opportunities and recent advances." LINK




Other

This reads like a noir SciFi Thriller LINK

" 红松仁脂肪的近红外光谱定量检测 Quantitative detection of fat in peeled Korean pine seeds using near infra-red spectroscopy" LINK





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


CalibrationModel.com

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

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

Spectroscopy and Chemometrics News Weekly 39, 2018 | NIRS NIR Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors quality control laboratories LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich, KW 39 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 39, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK




Chemometrics

"Development and validation of near-infrared spectroscopy for the prediction of forage quality parameters in Lolium multiflorum." LINK

"Determination of pesticides in flour substrate by chemometric methods using terahertz spectroscopy" LINK

"Accuracy of Predicting the Moisture Content of Three Types of Wood Sections Using Near Infrared Spectroscopy" LINK

"Soil fertility assessment by Vis-NIR spectroscopy: Predicting soil functioning rather than availability indices" LINK




Near Infrared

"Discrimination of Chili Powder Origin Using Inductively Coupled Plasma–Mass Spectrometry (ICP-MS), Inductively Coupled Plasma–Optical Emission Spectroscopy (ICP-OES), and Near Infrared (NIR) Spectroscopy" LINK

"A digitalization strategy for quality control in food industry based on Artificial Intelligence techniques" NIRS Sensory LINK

"MicaSense releases new sensor Altum and introduces sensors powered by DJI - Geospatial World (press release) (blog)" NIR LINK

"Identification of Hybrid Okra Seeds Based on Near-Infrared Hyperspectral Imaging Technology" LINK

"Tensile deformation of polyamide (PA) 6 probed by rheo-optical near-infrared (NIR) spectroscopy" LINK

"Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran." LINK

"The application of FT‐NIRS for the detection of bruises and the prediction of rot susceptibility of 'Hass' avocado fruit" FTNIRS LINK

"The potential of near infrared spectroscopy (NIRS) to trace apple origin: Study on different cultivars and orchard elevations" fruits LINK




Infrared

"Recent advancement in near infrared spectroscopy and hyperspectral imaging techniques for quality and safety assessment of agricultural and food products in the …" LINK




Hyperspectral

"Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)" LINK

"Determination of Total Polysaccharides and Total Flavonoids in Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging and Multivariate Analysis." LINK




Equipment

"The common quantitative model for the determination of multiple near infrared spectrometers" LINK




Agriculture

"The inversion of nitrogen balance index in typical growth period of soybean based on high definition digital image and hyperspectral data on unmanned aerial vehicles" LINK




Food & Feed

"Nitrogen Distribution Analysis for All Seeds of Cowpea (Vigna unguiculata) Using Single-Seed near Infrared Spectroscopy" foodsecurity foodsafety LINK




Chemical

"Outlook on optical identification of micro- and nanoplastics in aquatic environments." LINK




Pharma

"The Potential of the Quick Detection of Selectins Using Raman Spectroscopy to Discriminate Lung Cancer Patients from Healthy Subjects" LINK




Medicinal

"Non-invasive monitoring of blood glucose using optical methods for skin spectroscopy-opportunities and recent advances." LINK




Other

This reads like a noir SciFi Thriller LINK

" 红松仁脂肪的近红外光谱定量检测 Quantitative detection of fat in peeled Korean pine seeds using near infra-red spectroscopy" LINK





Spectroscopy and Chemometrics News Weekly #39, 2018Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #39, 2018Spettroscopia e Chemiometria Weekly News #39, 2018

CalibrationModel.com

Automated : data cleaning, data transformation, method selection, outlier removing, parameter tuning, model selection, report generation => Making NIRS Spectroscopy easier LINK

Spectroscopy and Chemometrics News Weekly 38, 2018 | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 38, 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 38, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK




Chemometrics

"Estimating Avocado Sales Using Machine Learning Algorithms and Weather Data" LINK

"Models of near infrared spectroscopy of fatty acid contents in rapeseed" LINK

"Vis-NIR spectrometric determination of Brix and sucrose in sugar production samples using kernel partial least squares with interval selection based on the successive projections algorithm." LINK

"Non-targeted NIR spectroscopy and SIMCA classification for commercial milk powder authentication: A study using eleven potential adulterants" NIRS LINK

"Support Vector Machine Optimized by Genetic Algorithm for Data Analysis of Near-Infrared Spectroscopy Sensors" LINK

"TRANSFERABILITY OF PREDICTION EQUATIONS BETWEEN NIR INSTRUMENTS FOR PREDICTING INTRAMUSCULAR FAT AND MOISTURE IN HOMOGENISED BEEF M. LONGISSIMUS THORACIS" LINK




Near Infrared

"The application of FT-NIRS for the detection of bruises and the prediction of rot susceptibility of 'Hass' avocado fruit." fruits LINK

"Following the path of chemicals through the soil" NIRS LINK

"Application of reflectance spectroscopies (FTIR-ATR & FT-NIR) coupled with multivariate methods for robust invivo detection of begomovirus infection in papaya leaves." fruits LINK

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

"Fault Detection Based on Near-Infrared Spectra for the Oil Desalting Process" NIRS LINK

"Diagnostics at Your Fingertips Thanks to Ultrathin Organic Photodetectors" NIR LINK

"Inline Spectroscopy: From Concept to Function - This article discusses inline spectroscopy from an instrumentation perspective." NIRS LINK

"A system using in situ NIRS sensors for the detection of product failing to meet quality standards and the prediction of optimal postharvest shelf-life in the case of oranges kept in cold storage" insitu fruits shelflife LINK

"Pre-harvest screening on-vine of spinach quality and safety using NIRS technology" portable LINK

"Predicting calcium in grape must and base wine by FT-NIR spectroscopy" FTNIR NIRS LINK

"NIR spectroscopy applied to the determination of 2‐Phenylethanol and L‐Phenylalanine concentrations in culture medium of Yarrowia lipolytica" LINK

"Application of FT-NIR spectroscopy for simultaneous estimation of taste quality and taste-related compounds content of black tea." FTNIR LINK




Infrared

"Prototype of the Near-Infrared Spectroscopy Expert System for Particleboard Identification" LINK

"Rapid Detecting Soluble Solid Content of Pears Based on Near-Infrared Spectroscopy" fruits LINK

"Improved production of polysaccharides in Ganoderma lingzhi mycelia by plasma mutagenesis and rapid screening of mutated strains through infrared spectroscopy" LINK

"Feasibility study on the use of a portable micro near infrared spectroscopy device for the "in vineyard" screening of extractable polyphenols in red grape skins" LINK

"Evaluation of salt content of curry soup containing coconut milk by near infrared spectroscopy" LINK




Hyperspectral

We have just published the 1st study exploring the SWIR spectra of ocean plastics in-situ. Our research highlights the potential of hyperspectral sensors to remotely quantity marine plastic pollution. LINK




Equipment

"On-site evaluation of Wagyu beef carcasses based on the monounsaturated, oleic, and saturated fatty acid composition using a handheld fiber-optic near-infrared spectrometer." LINK




Environment

"Assessment of cyanide contamination in soils with a handheld mid-infrared spectrometer." LINK




Pharma

"Accounting for spatial dependency in multivariate spectroscopic data" LINK




Medicinal

"A self-powered heart monitor taped to the skin" LINK




Other

"Differentiation of Apple Varieties and Investigation of Organic Status Using Portable Visible Range Reflectance Spectroscopy." LINK

"Al-light: An Alcohol-Sensing Smart Ice Cube" LINK





CalibrationModel.com

Automated : data cleaning, data transformation, method selection, outlier removing, parameter tuning, model selection, report generation => Making NIRS Spectroscopy easier LINK

Spectroscopy and Chemometrics News Weekly 38, 2018 | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 38, 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 38, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK




Chemometrics

"Estimating Avocado Sales Using Machine Learning Algorithms and Weather Data" LINK

"Models of near infrared spectroscopy of fatty acid contents in rapeseed" LINK

"Vis-NIR spectrometric determination of Brix and sucrose in sugar production samples using kernel partial least squares with interval selection based on the successive projections algorithm." LINK

"Non-targeted NIR spectroscopy and SIMCA classification for commercial milk powder authentication: A study using eleven potential adulterants" NIRS LINK

"Support Vector Machine Optimized by Genetic Algorithm for Data Analysis of Near-Infrared Spectroscopy Sensors" LINK

"TRANSFERABILITY OF PREDICTION EQUATIONS BETWEEN NIR INSTRUMENTS FOR PREDICTING INTRAMUSCULAR FAT AND MOISTURE IN HOMOGENISED BEEF M. LONGISSIMUS THORACIS" LINK




Near Infrared

"The application of FT-NIRS for the detection of bruises and the prediction of rot susceptibility of 'Hass' avocado fruit." fruits LINK

"Following the path of chemicals through the soil" NIRS LINK

"Application of reflectance spectroscopies (FTIR-ATR & FT-NIR) coupled with multivariate methods for robust invivo detection of begomovirus infection in papaya leaves." fruits LINK

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

"Fault Detection Based on Near-Infrared Spectra for the Oil Desalting Process" NIRS LINK

"Diagnostics at Your Fingertips Thanks to Ultrathin Organic Photodetectors" NIR LINK

"Inline Spectroscopy: From Concept to Function - This article discusses inline spectroscopy from an instrumentation perspective." NIRS LINK

"A system using in situ NIRS sensors for the detection of product failing to meet quality standards and the prediction of optimal postharvest shelf-life in the case of oranges kept in cold storage" insitu fruits shelflife LINK

"Pre-harvest screening on-vine of spinach quality and safety using NIRS technology" portable LINK

"Predicting calcium in grape must and base wine by FT-NIR spectroscopy" FTNIR NIRS LINK

"NIR spectroscopy applied to the determination of 2‐Phenylethanol and L‐Phenylalanine concentrations in culture medium of Yarrowia lipolytica" LINK

"Application of FT-NIR spectroscopy for simultaneous estimation of taste quality and taste-related compounds content of black tea." FTNIR LINK




Infrared

"Prototype of the Near-Infrared Spectroscopy Expert System for Particleboard Identification" LINK

"Rapid Detecting Soluble Solid Content of Pears Based on Near-Infrared Spectroscopy" fruits LINK

"Improved production of polysaccharides in Ganoderma lingzhi mycelia by plasma mutagenesis and rapid screening of mutated strains through infrared spectroscopy" LINK

"Feasibility study on the use of a portable micro near infrared spectroscopy device for the "in vineyard" screening of extractable polyphenols in red grape skins" LINK

"Evaluation of salt content of curry soup containing coconut milk by near infrared spectroscopy" LINK




Hyperspectral

We have just published the 1st study exploring the SWIR spectra of ocean plastics in-situ. Our research highlights the potential of hyperspectral sensors to remotely quantity marine plastic pollution. LINK




Equipment

"On-site evaluation of Wagyu beef carcasses based on the monounsaturated, oleic, and saturated fatty acid composition using a handheld fiber-optic near-infrared spectrometer." LINK




Environment

"Assessment of cyanide contamination in soils with a handheld mid-infrared spectrometer." LINK




Pharma

"Accounting for spatial dependency in multivariate spectroscopic data" LINK




Medicinal

"A self-powered heart monitor taped to the skin" LINK




Other

"Differentiation of Apple Varieties and Investigation of Organic Status Using Portable Visible Range Reflectance Spectroscopy." LINK

"Al-light: An Alcohol-Sensing Smart Ice Cube" LINK





CalibrationModel.com

Automated : data cleaning, data transformation, method selection, outlier removing, parameter tuning, model selection, report generation => Making NIRS Spectroscopy easier LINK

Spectroscopy and Chemometrics News Weekly 38, 2018 | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 38, 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 38, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK




Chemometrics

"Estimating Avocado Sales Using Machine Learning Algorithms and Weather Data" LINK

"Models of near infrared spectroscopy of fatty acid contents in rapeseed" LINK

"Vis-NIR spectrometric determination of Brix and sucrose in sugar production samples using kernel partial least squares with interval selection based on the successive projections algorithm." LINK

"Non-targeted NIR spectroscopy and SIMCA classification for commercial milk powder authentication: A study using eleven potential adulterants" NIRS LINK

"Support Vector Machine Optimized by Genetic Algorithm for Data Analysis of Near-Infrared Spectroscopy Sensors" LINK

"TRANSFERABILITY OF PREDICTION EQUATIONS BETWEEN NIR INSTRUMENTS FOR PREDICTING INTRAMUSCULAR FAT AND MOISTURE IN HOMOGENISED BEEF M. LONGISSIMUS THORACIS" LINK




Near Infrared

"The application of FT-NIRS for the detection of bruises and the prediction of rot susceptibility of 'Hass' avocado fruit." fruits LINK

"Following the path of chemicals through the soil" NIRS LINK

"Application of reflectance spectroscopies (FTIR-ATR & FT-NIR) coupled with multivariate methods for robust invivo detection of begomovirus infection in papaya leaves." fruits LINK

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

"Fault Detection Based on Near-Infrared Spectra for the Oil Desalting Process" NIRS LINK

"Diagnostics at Your Fingertips Thanks to Ultrathin Organic Photodetectors" NIR LINK

"Inline Spectroscopy: From Concept to Function - This article discusses inline spectroscopy from an instrumentation perspective." NIRS LINK

"A system using in situ NIRS sensors for the detection of product failing to meet quality standards and the prediction of optimal postharvest shelf-life in the case of oranges kept in cold storage" insitu fruits shelflife LINK

"Pre-harvest screening on-vine of spinach quality and safety using NIRS technology" portable LINK

"Predicting calcium in grape must and base wine by FT-NIR spectroscopy" FTNIR NIRS LINK

"NIR spectroscopy applied to the determination of 2‐Phenylethanol and L‐Phenylalanine concentrations in culture medium of Yarrowia lipolytica" LINK

"Application of FT-NIR spectroscopy for simultaneous estimation of taste quality and taste-related compounds content of black tea." FTNIR LINK




Infrared

"Prototype of the Near-Infrared Spectroscopy Expert System for Particleboard Identification" LINK

"Rapid Detecting Soluble Solid Content of Pears Based on Near-Infrared Spectroscopy" fruits LINK

"Improved production of polysaccharides in Ganoderma lingzhi mycelia by plasma mutagenesis and rapid screening of mutated strains through infrared spectroscopy" LINK

"Feasibility study on the use of a portable micro near infrared spectroscopy device for the "in vineyard" screening of extractable polyphenols in red grape skins" LINK

"Evaluation of salt content of curry soup containing coconut milk by near infrared spectroscopy" LINK




Hyperspectral

We have just published the 1st study exploring the SWIR spectra of ocean plastics in-situ. Our research highlights the potential of hyperspectral sensors to remotely quantity marine plastic pollution. LINK




Equipment

"On-site evaluation of Wagyu beef carcasses based on the monounsaturated, oleic, and saturated fatty acid composition using a handheld fiber-optic near-infrared spectrometer." LINK




Environment

"Assessment of cyanide contamination in soils with a handheld mid-infrared spectrometer." LINK




Pharma

"Accounting for spatial dependency in multivariate spectroscopic data" LINK




Medicinal

"A self-powered heart monitor taped to the skin" LINK




Other

"Differentiation of Apple Varieties and Investigation of Organic Status Using Portable Visible Range Reflectance Spectroscopy." LINK

"Al-light: An Alcohol-Sensing Smart Ice Cube" LINK





Spectroscopy and Chemometrics News Weekly #33, 2018Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #33, 2018Spettroscopia e Chemiometria Weekly News #33, 2018

Near Infrared

"Accurate and rapid detection of soil and fertilizer properties based on visible/near-infrared spectroscopy." LINK

"Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description." NIRS LINK

"MicroNIR™ PAT-W for Blend Endpoint Analysis in a High Dosage Product" LINK




Chemometrics

"Which regression method to use? Making informed decisions in “data-rich/knowledge poor” scenarios – The Predictive Analytics Comparison framework (PAC)" LINK

"Determination of salvianolic acid B and borneol in compound Danshen tablet by near-infrared spectroscopy and establishment of dependency model" LINK

"Error propagation of partial least squares for parameters optimization in NIR modeling." LINK

"Rapid quantification of the adulteration of fresh coconut water by dilution and sugars using Raman spectroscopy and chemometrics" LINK

"Predicting pork freshness using multi-index statistical information fusion method based on near infrared spectroscopy." LINK

"Validation of short wave near infrared calibration models for the quality and ripening of ‘Newhall’ orange on tree across years and orchards" fruits SWNIRS LINK

"Fault detection based on time series modeling and multivariate statistical process control." LINK




CalibrationModel.com

Near Infrared (NIR) Analysis Software, work smart with all NIR Spectrometers for quantitative sensing & detection. | AnalyticalChemistry LabManger Chemical Analysis Equipment ChemicalAnalysis Analytical Instruments Laboratory LabEquipment LINK

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

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 32, 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 32, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK

The non-destructive technique such as Near Infrared Spectroscopy NIRS along with Chemometrics can predict quality parameters of measurements by using the free NIR-Predictor Software. QualityControl QualityAssurance foodsafety productinspection LINK




Infrared

"Estimating soil heavy metals concentration at large scale using visible and near-infrared reflectance spectroscopy." LINK

"Overall uncertainty measurement for near infrared analysis of cryptotanshinone in tanshinone extract." LINK




Hyperspectral

"Hyperspectral imaging reveals wound problems" LINK




Research

"Sensoren machen guten Wein - Mit Hilfe von Sensoren können Winzer Informationen zu Reife, Qualität, Ertragsaussichten und Krankheitsrisiken ihrer Reben erhalten." LINK




Equipment

"Fourier transform infrared spectrometer based on an electrothermal MEMS mirror." LINK




Agriculture

"Discrimination of Milks with a Multisensor System Based on Layer-by-Layer Films" LINK




Other

"Watch out, birders: Artificial intelligence has learned to spot birds from their songs" LINK





Near Infrared

"Accurate and rapid detection of soil and fertilizer properties based on visible/near-infrared spectroscopy." LINK

"Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description." NIRS LINK

"MicroNIR™ PAT-W for Blend Endpoint Analysis in a High Dosage Product" LINK




Chemometrics

"Which regression method to use? Making informed decisions in “data-rich/knowledge poor” scenarios – The Predictive Analytics Comparison framework (PAC)" LINK

"Determination of salvianolic acid B and borneol in compound Danshen tablet by near-infrared spectroscopy and establishment of dependency model" LINK

"Error propagation of partial least squares for parameters optimization in NIR modeling." LINK

"Rapid quantification of the adulteration of fresh coconut water by dilution and sugars using Raman spectroscopy and chemometrics" LINK

"Predicting pork freshness using multi-index statistical information fusion method based on near infrared spectroscopy." LINK

"Validation of short wave near infrared calibration models for the quality and ripening of ‘Newhall’ orange on tree across years and orchards" fruits SWNIRS LINK

"Fault detection based on time series modeling and multivariate statistical process control." LINK




CalibrationModel.com

Near Infrared (NIR) Analysis Software, work smart with all NIR Spectrometers for quantitative sensing & detection. | AnalyticalChemistry LabManger Chemical Analysis Equipment ChemicalAnalysis Analytical Instruments Laboratory LabEquipment LINK

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

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 32, 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 32, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK

The non-destructive technique such as Near Infrared Spectroscopy NIRS along with Chemometrics can predict quality parameters of measurements by using the free NIR-Predictor Software. QualityControl QualityAssurance foodsafety productinspection LINK




Infrared

"Estimating soil heavy metals concentration at large scale using visible and near-infrared reflectance spectroscopy." LINK

"Overall uncertainty measurement for near infrared analysis of cryptotanshinone in tanshinone extract." LINK




Hyperspectral

"Hyperspectral imaging reveals wound problems" LINK




Research

"Sensoren machen guten Wein - Mit Hilfe von Sensoren können Winzer Informationen zu Reife, Qualität, Ertragsaussichten und Krankheitsrisiken ihrer Reben erhalten." LINK




Equipment

"Fourier transform infrared spectrometer based on an electrothermal MEMS mirror." LINK




Agriculture

"Discrimination of Milks with a Multisensor System Based on Layer-by-Layer Films" LINK




Other

"Watch out, birders: Artificial intelligence has learned to spot birds from their songs" LINK





Near Infrared

"Accurate and rapid detection of soil and fertilizer properties based on visible/near-infrared spectroscopy." LINK

"Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description." NIRS LINK

"MicroNIR™ PAT-W for Blend Endpoint Analysis in a High Dosage Product" LINK




Chemometrics

"Which regression method to use? Making informed decisions in “data-rich/knowledge poor” scenarios – The Predictive Analytics Comparison framework (PAC)" LINK

"Determination of salvianolic acid B and borneol in compound Danshen tablet by near-infrared spectroscopy and establishment of dependency model" LINK

"Error propagation of partial least squares for parameters optimization in NIR modeling." LINK

"Rapid quantification of the adulteration of fresh coconut water by dilution and sugars using Raman spectroscopy and chemometrics" LINK

"Predicting pork freshness using multi-index statistical information fusion method based on near infrared spectroscopy." LINK

"Validation of short wave near infrared calibration models for the quality and ripening of ‘Newhall’ orange on tree across years and orchards" fruits SWNIRS LINK

"Fault detection based on time series modeling and multivariate statistical process control." LINK




CalibrationModel.com

Near Infrared (NIR) Analysis Software, work smart with all NIR Spectrometers for quantitative sensing & detection. | AnalyticalChemistry LabManger Chemical Analysis Equipment ChemicalAnalysis Analytical Instruments Laboratory LabEquipment LINK

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

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 32, 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 32, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK

The non-destructive technique such as Near Infrared Spectroscopy NIRS along with Chemometrics can predict quality parameters of measurements by using the free NIR-Predictor Software. QualityControl QualityAssurance foodsafety productinspection LINK




Infrared

"Estimating soil heavy metals concentration at large scale using visible and near-infrared reflectance spectroscopy." LINK

"Overall uncertainty measurement for near infrared analysis of cryptotanshinone in tanshinone extract." LINK




Hyperspectral

"Hyperspectral imaging reveals wound problems" LINK




Research

"Sensoren machen guten Wein - Mit Hilfe von Sensoren können Winzer Informationen zu Reife, Qualität, Ertragsaussichten und Krankheitsrisiken ihrer Reben erhalten." LINK




Equipment

"Fourier transform infrared spectrometer based on an electrothermal MEMS mirror." LINK




Agriculture

"Discrimination of Milks with a Multisensor System Based on Layer-by-Layer Films" LINK




Other

"Watch out, birders: Artificial intelligence has learned to spot birds from their songs" LINK





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




Spectroscopy and Chemometrics News Weekly #17-18, 2017Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #17-18, 2017Spettroscopia e Chemiometria Weekly News #17-18, 2017

Chemometrics

Conferentia Chemometrica 2017, 3–6 September 2017, Gyöngyös, Farkasmály, Hungary. | chemometrics LINK

"Chaos theory in chemistry and chemometrics: a review" LINK

Predicting herbivore faecal nitrogen using a multispecies near-infrared reflectance spectroscopy calibration. LINK

Calibration transfer of flour NIR spectra between benchtop & portable instruments | directstandardization spectro LINK



Near Infrared

Fast Detection of Paprika Adulteration Using FT-NIR Spectroscopy LINK

How to analyze food and future requirements for NIR spectroscopy LINK



Infrared

"On-Site Analysis of Cannabis Potency Using Infrared Spectroscopy" LINK



Raman

5th International Taiwan Symposium on Raman Spectroscopy (TISRS 2017) 27–30 June 2017, Chiayi, Taiwan. LINK



Hyperspectral

Corning and PrecisionHawk and partnership enables hyperspectral imaging on drones LINK

Employing NIR-SWIR hyperspectral imaging to predict the smokiness of scotch whisky LINK

Defect detection of green coffee by NIR-hyperspectral imaging and multivariate pattern recognition LINK



Equipment

Getting ready for the LinkSquare SDK kickstarter with some beauty shots of our handheld spectrometer! LINK!

"Learning about Spectroscopy with Ocean Optics" LINK

Agriculture

Analysis of multiple soybean phytonutrients by near-infrared reflectance spectroscopy LINK



Other

A great demonstration of why we need to plot the data and never trust statistics tables! LINK





Chemometrics

Conferentia Chemometrica 2017, 3–6 September 2017, Gyöngyös, Farkasmály, Hungary. | chemometrics LINK

"Chaos theory in chemistry and chemometrics: a review" LINK

Predicting herbivore faecal nitrogen using a multispecies near-infrared reflectance spectroscopy calibration. LINK

Calibration transfer of flour NIR spectra between benchtop & portable instruments | directstandardization spectro LINK



Near Infrared

Fast Detection of Paprika Adulteration Using FT-NIR Spectroscopy LINK

How to analyze food and future requirements for NIR spectroscopy LINK



Infrared

"On-Site Analysis of Cannabis Potency Using Infrared Spectroscopy" LINK



Raman

5th International Taiwan Symposium on Raman Spectroscopy (TISRS 2017) 27–30 June 2017, Chiayi, Taiwan. LINK



Hyperspectral

Corning and PrecisionHawk and partnership enables hyperspectral imaging on drones LINK

Employing NIR-SWIR hyperspectral imaging to predict the smokiness of scotch whisky LINK

Defect detection of green coffee by NIR-hyperspectral imaging and multivariate pattern recognition LINK



Equipment

Getting ready for the LinkSquare SDK kickstarter with some beauty shots of our handheld spectrometer! LINK!

"Learning about Spectroscopy with Ocean Optics" LINK

Agriculture

Analysis of multiple soybean phytonutrients by near-infrared reflectance spectroscopy LINK



Other

A great demonstration of why we need to plot the data and never trust statistics tables! LINK





Chemometrics

Conferentia Chemometrica 2017, 3–6 September 2017, Gyöngyös, Farkasmály, Hungary. | chemometrics LINK

"Chaos theory in chemistry and chemometrics: a review" LINK

Predicting herbivore faecal nitrogen using a multispecies near-infrared reflectance spectroscopy calibration. LINK

Calibration transfer of flour NIR spectra between benchtop & portable instruments | directstandardization spectro LINK



Near Infrared

Fast Detection of Paprika Adulteration Using FT-NIR Spectroscopy LINK

How to analyze food and future requirements for NIR spectroscopy LINK



Infrared

"On-Site Analysis of Cannabis Potency Using Infrared Spectroscopy" LINK



Raman

5th International Taiwan Symposium on Raman Spectroscopy (TISRS 2017) 27–30 June 2017, Chiayi, Taiwan. LINK



Hyperspectral

Corning and PrecisionHawk and partnership enables hyperspectral imaging on drones LINK

Employing NIR-SWIR hyperspectral imaging to predict the smokiness of scotch whisky LINK

Defect detection of green coffee by NIR-hyperspectral imaging and multivariate pattern recognition LINK



Equipment

Getting ready for the LinkSquare SDK kickstarter with some beauty shots of our handheld spectrometer! LINK!

"Learning about Spectroscopy with Ocean Optics" LINK

Agriculture

Analysis of multiple soybean phytonutrients by near-infrared reflectance spectroscopy LINK



Other

A great demonstration of why we need to plot the data and never trust statistics tables! LINK





Spectroscopy and Chemometrics News Weekly #16, 2017Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #16, 2017Spettroscopia e Chemiometria Weekly News #16, 2017

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

Chemometrics

UV/Vis spectroscopy combined with chemometrics for monitoring solid-state fermentation with ... LINK

What is MODEL SELECTION? What does MODEL SELECTION mean? MODEL SELECTION meaning & explanation: LINK

Model selection with multiple regression on distance matrices leads to incorrect inferences LINK



Equipment

Tiny spectrometer turns smartphone into molecular analyst LINK

High-grade, compact spectrometers for Earth observation from SmallSats LINK



Future

Miniature and Micro Spectrometers End-Users Needs, Market & Trends 2015-2021 - Research and Markets - Yahoo Finance LINK



Agriculture

Prediction of milk fatty acid content with mid-infrared spectroscopy in Canadian dairy cattle using differently… LINK!



Other

Smallest seismic sensor uses vibration spectral analysis LINK




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

Chemometrics

UV/Vis spectroscopy combined with chemometrics for monitoring solid-state fermentation with ... LINK

What is MODEL SELECTION? What does MODEL SELECTION mean? MODEL SELECTION meaning & explanation: LINK

Model selection with multiple regression on distance matrices leads to incorrect inferences LINK



Equipment

Tiny spectrometer turns smartphone into molecular analyst LINK

High-grade, compact spectrometers for Earth observation from SmallSats LINK



Future

Miniature and Micro Spectrometers End-Users Needs, Market & Trends 2015-2021 - Research and Markets - Yahoo Finance LINK



Agriculture

Prediction of milk fatty acid content with mid-infrared spectroscopy in Canadian dairy cattle using differently… LINK!



Other

Smallest seismic sensor uses vibration spectral analysis LINK




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

Chemometrics

UV/Vis spectroscopy combined with chemometrics for monitoring solid-state fermentation with ... LINK

What is MODEL SELECTION? What does MODEL SELECTION mean? MODEL SELECTION meaning & explanation: LINK

Model selection with multiple regression on distance matrices leads to incorrect inferences LINK



Equipment

Tiny spectrometer turns smartphone into molecular analyst LINK

High-grade, compact spectrometers for Earth observation from SmallSats LINK



Future

Miniature and Micro Spectrometers End-Users Needs, Market & Trends 2015-2021 - Research and Markets - Yahoo Finance LINK



Agriculture

Prediction of milk fatty acid content with mid-infrared spectroscopy in Canadian dairy cattle using differently… LINK!



Other

Smallest seismic sensor uses vibration spectral analysis LINK




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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


Start Calibrate


Interested, then do not hesitate to contact us.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


Start Calibrate


Interessiert, dann zögern Sie nicht uns zu kontaktieren.

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

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

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

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

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

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

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

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

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

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

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

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

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

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


Start Calibrate


Interested, then do not hesitate to contact us.

NIRS Calibration Model Equation – Optimal Predictive Model SelectionNIRS Calibration Model Equation – Optimal Predictive Model SelectionNIRS Calibration Model Equation – Optimal Predictive Model Selection

To give you an insight what we do to find the optimal model, imagine a NIR data set, where a NIR specialist works hard for 4 hours in his chemometric software to try what he can with his chemometric-, NIR spectroscopic- and his product-knowledge to get a good model. During the 4 hours he finds 3 final candidate models for his application. With the RMSEP of 0.49 , 0.51 and 0.6. Now he has to choose one or to test all his three models on new measured NIR spectra.

That is common practice. But is this good practice?

And nobody asks, how long, how hard have you tried, how many trial have you done, if this really the best model that is possible from the data?
And imagine the cost of the data collection including the lab analytics!
And behind this costs, have you really tried hard enough to get the best out of your data? Was the calibration done quick and dirty on a Friday afternoon? Yes, time is limited and manually clicking around and wait in such kind of software is not really fun, so what are the consequences?

Now I come to the most important core point ever, if you own expensive NIR spectrometer system, or even many of them, and your company has collected a lot of NIR spectra and expensive Lab-reference data over years, do you spend just a few hours to develop and build that model, that will define the whole system's measurement performance for the future? And ask yourself again (and your boss will ask you later), have you really tried hard enough, to get the best out of your data? really?

What else is possible? What does your competition do?

There is no measure (yet) what can be reached with a specific NIR data set.
And this is very interesting, because there are different beliefs if a secondary method like NIR or Raman can be more precise and accurate, as the primary method.

What we do different is, that our highly specialized software is capable of creating large amounts of useful calibrations to investigate this limits – what is possible. It's done by permutation and combination of spectra-selection, wave-selection, pre-processing sequences and PC selections. If you are common with this, then you know that the possibilities are huge.

For a pre-screening, we create e.g. 42'000 useful calibrations for the mentioned data set. With useful we mean that the model is usable, e.g. R² is higher than 0.8, which shows a good correlation between the spectra and the constituent and it is well fitted (neither over-fitted nor under-fitted) because the PC selection for the calibration-set is estimated by the validation-set and the predictive performance of the test-set is used for model comparisons.

Here the sorted RMSEP values of the Test Set is shown for 42'000 calibrations.
You can immediately see that the manually found performance of 0.49 is just in the starting phase of our optimization. Interesting is the steep fall from 1.0 to 0.5 where manually optimization found it's solutions. A range where ca. 2500 different useful calibrations exist. The following less steep fall from 0.5 to 0.2 contains a lot more useful models and between 0.2 to 0.08 the obvious high accurate models are around 2500 different ones. So the golden needle is not in the first 2500 models, it must be somewhere in the last 2500 models in the haystack.

Sorted RMSEP plot of 42'000 NIR Calibration Model Candidates

That allows us to pick the best calibration out of 42'000 models, depending on multiple statistical evaluation criteria, that is not just the R² or RPD, SEC, SEP or RMSEP, (or Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Multivariate AIC  (MAIC) etc.) we do the model selection based on multiple statistical parameters.

Dengrogram plot of similar  NIR Calibration Models

To compare the calibration models by similarity it is best viewed with dendrogram plots like this (zoomed in), where the settings are shown versus the models overall performance similarity. In the settings you can see a lot of different permutations of pre-processings combined with different wave-selections.

To give you an insight what we do to find the optimal model, imagine a NIR data set, where a NIR specialist works hard for 4 hours in his chemometric software to try what he can with his chemometric-, NIR spectroscopic- and his product-knowledge to get a good model. During the 4 hours he finds 3 final candidate models for his application. With the RMSEP of 0.49 , 0.51 and 0.6. Now he has to choose one or to test all his three models on new measured NIR spectra.

That is common practice. But is this good practice?

And nobody asks, how long, how hard have you tried, how many trial have you done, if this really the best model that is possible from the data?
And imagine the cost of the data collection including the lab analytics!
And behind this costs, have you really tried hard enough to get the best out of your data? Was the calibration done quick and dirty on a Friday afternoon? Yes, time is limited and manually clicking around and wait in such kind of software is not really fun, so what are the consequences?

Now I come to the most important core point ever, if you own expensive NIR spectrometer system, or even many of them, and your company has collected a lot of NIR spectra and expensive Lab-reference data over years, do you spend just a few hours to develop and build that model, that will define the whole system's measurement performance for the future? And ask yourself again (and your boss will ask you later), have you really tried hard enough, to get the best out of your data? really?

What else is possible? What does your competition do?

There is no measure (yet) what can be reached with a specific NIR data set.
And this is very interesting, because there are different beliefs if a secondary method like NIR or Raman can be more precise and accurate, as the primary method.

What we do different is, that our highly specialized software is capable of creating large amounts of useful calibrations to investigate this limits – what is possible. It's done by permutation and combination of spectra-selection, wave-selection, pre-processing sequences and PC selections. If you are common with this, then you know that the possibilities are huge.

For a pre-screening, we create e.g. 42'000 useful calibrations for the mentioned data set. With useful we mean that the model is usable, e.g. R² is higher than 0.8, which shows a good correlation between the spectra and the constituent and it is well fitted (neither over-fitted nor under-fitted) because the PC selection for the calibration-set is estimated by the validation-set and the predictive performance of the test-set is used for model comparisons.

Here the sorted RMSEP values of the Test Set is shown for 42'000 calibrations.
You can immediately see that the manually found performance of 0.49 is just in the starting phase of our optimization. Interesting is the steep fall from 1.0 to 0.5 where manually optimization found it's solutions. A range where ca. 2500 different useful calibrations exist. The following less steep fall from 0.5 to 0.2 contains a lot more useful models and between 0.2 to 0.08 the obvious high accurate models are around 2500 different ones. So the golden needle is not in the first 2500 models, it must be somewhere in the last 2500 models in the haystack.

Sorted RMSEP plot of 42'000 NIR Calibration Model Candidates

That allows us to pick the best calibration out of 42'000 models, depending on multiple statistical evaluation criteria, that is not just the R² or RPD, SEC, SEP or RMSEP, (or Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Multivariate AIC (MAIC) etc.) we do the model selection based on multiple statistical parameters.

Dengrogram plot of similar  NIR Calibration Models

To compare the calibration models by similarity it is best viewed with dendrogram plots like this (zoomed in), where the settings are shown versus the models overall performance similarity. In the settings you can see a lot of different permutations of pre-processings combined with different wave-selections.

To give you an insight what we do to find the optimal model, imagine a NIR data set, where a NIR specialist works hard for 4 hours in his chemometric software to try what he can with his chemometric-, NIR spectroscopic- and his product-knowledge to get a good model. During the 4 hours he finds 3 final candidate models for his application. With the RMSEP of 0.49 , 0.51 and 0.6. Now he has to choose one or to test all his three models on new measured NIR spectra.

That is common practice. But is this good practice?

And nobody asks, how long, how hard have you tried, how many trial have you done, if this really the best model that is possible from the data?
And imagine the cost of the data collection including the lab analytics!
And behind this costs, have you really tried hard enough to get the best out of your data? Was the calibration done quick and dirty on a Friday afternoon? Yes, time is limited and manually clicking around and wait in such kind of software is not really fun, so what are the consequences?

Now I come to the most important core point ever, if you own expensive NIR spectrometer system, or even many of them, and your company has collected a lot of NIR spectra and expensive Lab-reference data over years, do you spend just a few hours to develop and build that model, that will define the whole system's measurement performance for the future? And ask yourself again (and your boss will ask you later), have you really tried hard enough, to get the best out of your data? really?

What else is possible? What does your competition do?

There is no measure (yet) what can be reached with a specific NIR data set.
And this is very interesting, because there are different beliefs if a secondary method like NIR or Raman can be more precise and accurate, as the primary method.

What we do different is, that our highly specialized software is capable of creating large amounts of useful calibrations to investigate this limits – what is possible. It's done by permutation and combination of spectra-selection, wave-selection, pre-processing sequences and PC selections. If you are common with this, then you know that the possibilities are huge.

For a pre-screening, we create e.g. 42'000 useful calibrations for the mentioned data set. With useful we mean that the model is usable, e.g. R² is higher than 0.8, which shows a good correlation between the spectra and the constituent and it is well fitted (neither over-fitted nor under-fitted) because the PC selection for the calibration-set is estimated by the validation-set and the predictive performance of the test-set is used for model comparisons.

Here the sorted RMSEP values of the Test Set is shown for 42'000 calibrations.
You can immediately see that the manually found performance of 0.49 is just in the starting phase of our optimization. Interesting is the steep fall from 1.0 to 0.5 where manually optimization found it's solutions. A range where ca. 2500 different useful calibrations exist. The following less steep fall from 0.5 to 0.2 contains a lot more useful models and between 0.2 to 0.08 the obvious high accurate models are around 2500 different ones. So the golden needle is not in the first 2500 models, it must be somewhere in the last 2500 models in the haystack.

Sorted RMSEP plot of 42'000 NIR Calibration Model Candidates

That allows us to pick the best calibration out of 42'000 models, depending on multiple statistical evaluation criteria, that is not just the R² or RPD, SEC, SEP or RMSEP, (or Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Multivariate AIC (MAIC) etc.) we do the model selection based on multiple statistical parameters.

Dengrogram plot of similar  NIR Calibration Models

To compare the calibration models by similarity it is best viewed with dendrogram plots like this (zoomed in), where the settings are shown versus the models overall performance similarity. In the settings you can see a lot of different permutations of pre-processings combined with different wave-selections.