Spectroscopy and Chemometrics News Weekly #52, 2019

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5 Fehler, die es bei der Digitalisierung in der NIR-Spektroskopie zu vermeiden gilt – das müssen Labormanager, Führungskräfte und CEOs wissen! NIRSpectroscopy NIRS Sensor NearInfrared Analyzers DigitalTransformation foodtech machinelearning LINK

Spectroscopy & Chemometrics News Weekly 51, 2019 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory AI Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 51, 2019 | NIRS NIR Spektroskopie MachineLearning Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse IoT LINK

Spettroscopia e Chemiometria Weekly News 51, 2019 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem Sensore AI Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodels LINK

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Near Infrared

“High prevalence of cholesterol-rich atherosclerotic lesions in ancient mummies: A near-infrared spectroscopy study.” LINK

” EVALUATION OF BIOPLASTICS FORMULATED FROM FOOD WASTE USING NIR SPECTROSCOPY IMAGING” LINK

“Multi-block classification of Italian semolina based on Near Infrared Spectroscopy (NIR) analysis and alveographic indices.” LINK

“A Rapid, Univariate FT-NIR Procedure to Determine Moisture Concentration in Olive Oil.” LINK

“Hand-Held Near-Infrared Spectroscopy for Authentication of Fengdous and Quantitative Analysis of Mulberry Fruits” LINK

“State of the art and applications of near infrared spectroscopy in food composition and quality” LINK

“Application of near-infrared spectroscopy for frozen-thawed characterization of cuttlefish (Sepia officinalis).” LINK

“Discrimination of white teas produced from fresh leaves with different maturity by near-infrared spectroscopy.” LINK

“Qualitative classification of waste textiles based on near infrared spectroscopy and the convolutional network” LINK




Raman

“Transmission Raman Spectroscopic Quantification of Active Pharmaceutical Ingredient in Coated Tablets of Hot-Melt Extruded Amorphous Solid Dispersion” LINK

“The application of surface enhanced Raman scattering to the detection of asphaltic petroleum in sediment extracts: deconvolving three component-mixtures using look-up tables of entire surface enhanced Raman spectra” LINK

“Detection of fish bones in fillets by Raman hyperspectral imaging technology” LINK

“Blood species identification based on deep learning analysis of Raman spectra” LINK




Hyperspectral

“Estimating growth and photosynthetic properties of wheat grown in simulated saline field conditions using hyperspectral reflectance sensing and multivariate analysis.” LINK

“Hyperspectral Wavelength Selection and Integration for Bruise Detection of Korla Pears” LINK

“Monitoring of Wheat Scab Using the Specific Spectral Index from ASD Hyperspectral Dataset” LINK

“Development of Simplified Models for Nondestructive Testing of Rice with Husk Starch Content Using Hyperspectral Imaging Technology” LINK




Chemometrics

“Machine Learning Algorithms for Soil Properties Prediction with Treated Vis–NIR Spectrums from the Itatiaia National Park” LINK

“Chemometric Authentication of Brazilian Coffees Based on Chemical Profiling” LINK

“Comparison of prediction power of three multivariate calibrations for estimation of leaf anthocyanin content with visible spectroscopy in Prunus cerasifera.” LINK

“Application of machine learning techniques to electron microscopic/spectroscopic image data analysis” LINK




Agriculture

“Estimating Atterberg Limits of Fine-Grained Soils by Visible–Near-Infrared Spectroscopy” LINK

“Optical implementation of partially negative filters using a spectrally tunable light source, and its application to contrast enhanced oral and dental imaging” LINK

“Compositional Analysis of Non-Polar and Polar Metabolites in 14 Soybeans Using Spectroscopy and Chromatography Tools.” LINK

“Quantitative Analysis of Trans Fatty Acids in Cooked Soybean Oil Using Terahertz Spectrum” LINK

“Evidence on the discrimination of quinoa grains with a combination of FT-MIR and FT-NIR spectroscopy.” LINK




Food & Feed

“Estimating heritability for meat composition traits in the golden shell strain of Pacific oyster (Crassostrea gigas)” LINK




Laboratory

“Climate structures bison dietary quality and composition at the continental scale” LINK





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