Spectroscopy and Chemometrics News Weekly #32, 2018Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #32, 2018Spettroscopia e Chemiometria Weekly News #32, 2018

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


Chemometrics

"Quantification of active ingredients in Potentilla tormentilla by Raman and infrared spectroscopy." LINK

"Selecting the Best Machine Learning Algorithm for Your Regression Problem" LINK

New Release via OSA_Optica: Machine Learning Technique Reconstructs Images Passing through a Multimode Fiber. "The new method showed remarkable robustness against environmental instabilities even over long fibers." Read More: LINK

"Building Reliable Machine Learning Models with Cross-validation" LINK

"Assessing the capability of Fourier transform infrared spectroscopy in tandem with chemometric analysis for predicting poultry meat spoilage" LINK

"Rapid identification and quantification of Panax notoginseng with its adulterants by near infrared spectroscopy combined with chemometrics." Adulteration LINK

"Quantitative analysis modeling of infrared spectroscopy based on ensemble convolutional neural networks" LINK

"Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification" LINK

"Rapid detection of three quality parameters and classification of wine based on Vis-NIR spectroscopy with wavelength selection by ACO and CARS algorithms." LINK




Near Infrared

"Single-trial NIRS data classification for brain-computer interfaces using graph signal processing." LINK

"Non-destructive prediction of protein content in wheat using NIRS." Nondestructive LINK

"Fast authentication of tea tree oil through spectroscopy." NIRS AnalyticalChemistry LINK

"Real time release testing of tablet content and content uniformity." | Pharma dosage QualityByDesign QbD NIRS LINK

"Physical Barrier Type Abuse-Deterrent Formulations: Monitoring Sintering-Induced Microstructural Changes in Polyethylene Oxide Placebo Tablets by Near Infrared Spectroscopy (NIRS)." LINK

"Rapid Authentication and Quality Evaluation of Cinnamomum verum Powder Using Near-Infrared Spectroscopy and Multivariate Analyses." LINK




Infrared

"New study first to demonstrate a chip-scale broadband optical system that can sense molecules in the mid-infrared" LINK




Raman

"An improved method based on a new wavelet transform for overlapped peak detection on spectrum obtained by portable Raman system" LINK




Facts

"A small team of student AI coders beats Google’s machine-learning code" LINK

"Machine Learning Technique Reconstructs Images Passing through a Multimode Fiber" LINK




DataFormats

"Are your spectroscopic data FAIR?" - FAIR stands for Findable, Accessible, Interoperable, Reusable. - IUPAC JCAMP-DX 6.0 is coming.... - spectroscopy LINK




Process Control

The key concept of sampling errors - the Theory of Sampling (TOS) - is applied in key industrial sectors (mining, minerals, cement and metals processing). LINK




Agriculture

"Canopy Hyperspectral Sensing of Paddy Fields at the Booting Stage and PLS Regression can Assess Grain Yield" LINK

"Agricultural Applications of Spectroscopy - The basic principle of spectroscopy involves dissecting the light of a specific object into various wavelengths that represent different physical properties of the object, some of which include temperature.." LINK




Laboratory

"ILS: An R package for statistical analysis in Interlaboratory Studies" 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




Holen Sie sich die Chemometrie und Spektroskopie Nachrichten in Echtzeit auf Twitter @ CalibModel


Chemometrics

"Quantification of active ingredients in Potentilla tormentilla by Raman and infrared spectroscopy." LINK

"Selecting the Best Machine Learning Algorithm for Your Regression Problem" LINK

New Release via OSA_Optica: Machine Learning Technique Reconstructs Images Passing through a Multimode Fiber. "The new method showed remarkable robustness against environmental instabilities even over long fibers." Read More: LINK

"Building Reliable Machine Learning Models with Cross-validation" LINK

"Assessing the capability of Fourier transform infrared spectroscopy in tandem with chemometric analysis for predicting poultry meat spoilage" LINK

"Rapid identification and quantification of Panax notoginseng with its adulterants by near infrared spectroscopy combined with chemometrics." Adulteration LINK

"Quantitative analysis modeling of infrared spectroscopy based on ensemble convolutional neural networks" LINK

"Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification" LINK

"Rapid detection of three quality parameters and classification of wine based on Vis-NIR spectroscopy with wavelength selection by ACO and CARS algorithms." LINK




Near Infrared

"Single-trial NIRS data classification for brain-computer interfaces using graph signal processing." LINK

"Non-destructive prediction of protein content in wheat using NIRS." Nondestructive LINK

"Fast authentication of tea tree oil through spectroscopy." NIRS AnalyticalChemistry LINK

"Real time release testing of tablet content and content uniformity." | Pharma dosage QualityByDesign QbD NIRS LINK

"Physical Barrier Type Abuse-Deterrent Formulations: Monitoring Sintering-Induced Microstructural Changes in Polyethylene Oxide Placebo Tablets by Near Infrared Spectroscopy (NIRS)." LINK

"Rapid Authentication and Quality Evaluation of Cinnamomum verum Powder Using Near-Infrared Spectroscopy and Multivariate Analyses." LINK




Infrared

"New study first to demonstrate a chip-scale broadband optical system that can sense molecules in the mid-infrared" LINK




Raman

"An improved method based on a new wavelet transform for overlapped peak detection on spectrum obtained by portable Raman system" LINK




Facts

"A small team of student AI coders beats Google’s machine-learning code" LINK

"Machine Learning Technique Reconstructs Images Passing through a Multimode Fiber" LINK




DataFormats

"Are your spectroscopic data FAIR?" - FAIR stands for Findable, Accessible, Interoperable, Reusable. - IUPAC JCAMP-DX 6.0 is coming.... - spectroscopy LINK




Process Control

The key concept of sampling errors - the Theory of Sampling (TOS) - is applied in key industrial sectors (mining, minerals, cement and metals processing). LINK




Agriculture

"Canopy Hyperspectral Sensing of Paddy Fields at the Booting Stage and PLS Regression can Assess Grain Yield" LINK

"Agricultural Applications of Spectroscopy - The basic principle of spectroscopy involves dissecting the light of a specific object into various wavelengths that represent different physical properties of the object, some of which include temperature.." LINK




Laboratory

"ILS: An R package for statistical analysis in Interlaboratory Studies" LINK



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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




I chemiometria e messaggi di spettroscopia in tempo reale su Twitter @ CalibModel



Chemometrics

"Quantification of active ingredients in Potentilla tormentilla by Raman and infrared spectroscopy." LINK

"Selecting the Best Machine Learning Algorithm for Your Regression Problem" LINK

New Release via OSA_Optica: Machine Learning Technique Reconstructs Images Passing through a Multimode Fiber. "The new method showed remarkable robustness against environmental instabilities even over long fibers." Read More: LINK

"Building Reliable Machine Learning Models with Cross-validation" LINK

"Assessing the capability of Fourier transform infrared spectroscopy in tandem with chemometric analysis for predicting poultry meat spoilage" LINK

"Rapid identification and quantification of Panax notoginseng with its adulterants by near infrared spectroscopy combined with chemometrics." Adulteration LINK

"Quantitative analysis modeling of infrared spectroscopy based on ensemble convolutional neural networks" LINK

"Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification" LINK

"Rapid detection of three quality parameters and classification of wine based on Vis-NIR spectroscopy with wavelength selection by ACO and CARS algorithms." LINK




Near Infrared

"Single-trial NIRS data classification for brain-computer interfaces using graph signal processing." LINK

"Non-destructive prediction of protein content in wheat using NIRS." Nondestructive LINK

"Fast authentication of tea tree oil through spectroscopy." NIRS AnalyticalChemistry LINK

"Real time release testing of tablet content and content uniformity." | Pharma dosage QualityByDesign QbD NIRS LINK

"Physical Barrier Type Abuse-Deterrent Formulations: Monitoring Sintering-Induced Microstructural Changes in Polyethylene Oxide Placebo Tablets by Near Infrared Spectroscopy (NIRS)." LINK

"Rapid Authentication and Quality Evaluation of Cinnamomum verum Powder Using Near-Infrared Spectroscopy and Multivariate Analyses." LINK




Infrared

"New study first to demonstrate a chip-scale broadband optical system that can sense molecules in the mid-infrared" LINK




Raman

"An improved method based on a new wavelet transform for overlapped peak detection on spectrum obtained by portable Raman system" LINK




Facts

"A small team of student AI coders beats Google’s machine-learning code" LINK

"Machine Learning Technique Reconstructs Images Passing through a Multimode Fiber" LINK




DataFormats

"Are your spectroscopic data FAIR?" - FAIR stands for Findable, Accessible, Interoperable, Reusable. - IUPAC JCAMP-DX 6.0 is coming.... - spectroscopy LINK




Process Control

The key concept of sampling errors - the Theory of Sampling (TOS) - is applied in key industrial sectors (mining, minerals, cement and metals processing). LINK




Agriculture

"Canopy Hyperspectral Sensing of Paddy Fields at the Booting Stage and PLS Regression can Assess Grain Yield" LINK

"Agricultural Applications of Spectroscopy - The basic principle of spectroscopy involves dissecting the light of a specific object into various wavelengths that represent different physical properties of the object, some of which include temperature.." LINK




Laboratory

"ILS: An R package for statistical analysis in Interlaboratory Studies" 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




NIR Spectroscopy and Chemometric surveys, polls and assessmentsNIR Spektroskopie und Chemometrie Umfragen, Erhebungen und WertungenSpettroscopia NIR e chemiometria sondaggi, indagini e valutazioni


1. Calibration Developers
How many persons in your company are able to develop a NIR Calibration?


2. Calibration Development
How much time do you spend to develop a calibration model?


3. Chemometric Software / Spectroscopy Software
Which Chemometric Software are you using for NIR?


4. NIR Spectrometer Brand
Which NIR Spectrometer Brand do you use?


Please vote and see the assessments below.

Part 2, Part 3
[yop_poll id="5"] [yop_poll id="4"]
[yop_poll id="2"] [yop_poll id="3"]


Part 2, Part 3

1. Calibration Developers

Wie viele Personen in Ihrem Unternehmen sind in der Lage, eine NIR-Kalibrierung zu entwickeln?

2. Calibration Development

Wie viel Zeit benötigen Sie um ein Kalibrierungs Modell zu entwickeln?

3. Chemometrie Software / Spectroskopie Software

Welche Chemometrische Software verwenden Sie für NIR?

4. NIR Spectrometer Brand

Welche NIR-Spektrometer Marke verwenden Sie?

Bitte stimmen Sie und sehen Sie die Einschätzungen unten.

Teil 2

[yop_poll id="5"] [yop_poll id="4"]
[yop_poll id="2"] [yop_poll id="3"]

1. Calibration Developers

How many persons in your company are able to develop a NIR Calibration?

2. Calibration Development

How much time do you spend to develop a calibration model?

3. Chemometric Software

Which Chemometric Software are you using for NIR?

4. NIR Spectrometer Brand

Which NIR Spectrometer Brand do you use?

Please vote and see the assessments below.

[yop_poll id="5"] [yop_poll id="4"]
[yop_poll id="2"] [yop_poll id="3"]