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Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network

Dhritiman Saha, T. Senthilkumar, C. B. Singh, Annamalai Manickavasagan

2023Journal of Food Composition and Analysis46 citationsDOI

Topics & Concepts

AdulterantHyperspectral imagingPartial least squares regressionCalibrationMathematicsPattern recognition (psychology)PreprocessorNear-infrared spectroscopyArtificial intelligenceBiological systemStatisticsChemistryComputer scienceChromatographyPhysicsOpticsBiologySpectroscopy and Chemometric AnalysesAdvanced Chemical Sensor TechnologiesMeat and Animal Product Quality
Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network | Litcius