Novel Application of Near-infrared Spectroscopy and Chemometrics Approach for Detection of Lime Juice Adulteration.
Reza Jahani, Hassan Yazdanpanah, Saskia M. van Ruth, Farzad Kobarfard, Martin Alewijn, Arash Mahboubi, Mehrdad Faizi, Mohammad Hossein Shojaee AliAbadi, Jamshid Salamzadeh
Abstract
nearest neighbor. The results of this preliminary study provided promising evidence of the potential of the handheld near infra-red spectrometer and machine learning methods for rapid detection of lime juice adulteration. Since a limited number of the samples were used in the current study, more lime juice samples from a wider range of variability need to be analyzed in order to increase the robustness of the generated models and to confirm the promising results achieved in this study.
Topics & Concepts
ChemometricsPartial least squares regressionCorrelation coefficientNear-infrared spectroscopyLimeLinear discriminant analysisPrincipal component analysisMathematicsArtificial intelligenceAnalytical Chemistry (journal)Pattern recognition (psychology)Computer scienceStatisticsChemistryChromatographyMaterials scienceOpticsPhysicsMetallurgySpectroscopy and Chemometric AnalysesAdvanced Chemical Sensor TechnologiesIdentification and Quantification in Food