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The application of machine-learning and Raman spectroscopy for the rapid detection of edible oils type and adulteration

Hefei Zhao, Yinglun Zhan, Zheng Xu, Joshua Nduwamungu, Yuzhen Zhou, Robert Powers, Changmou Xu

2021Food Chemistry125 citationsDOIOpen Access PDF

Topics & Concepts

Raman spectroscopyPrincipal component analysisArtificial intelligenceEdible oilPattern recognition (psychology)SpectroscopyChemometricsBiological systemChromatographyChemistryGas chromatographyMachine learningComputer scienceAnalytical Chemistry (journal)Food sciencePhysicsBiologyOpticsQuantum mechanicsSpectroscopy and Chemometric AnalysesAdvanced Chemical Sensor TechnologiesSpectroscopy Techniques in Biomedical and Chemical Research
The application of machine-learning and Raman spectroscopy for the rapid detection of edible oils type and adulteration | Litcius