Spectroscopy and Chemometrics News Weekly #32, 2018

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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




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