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Multivariate Methods for Food Fraud Detection by OSCAR DE JESUS FLORES is a document available to read on EtoBox.

What is Multivariate Methods for Food Fraud Detection about?

This review discusses multivariate qualitative methods for detecting food fraud, focusing on sample authentication and adulteration. It outlines the steps involved in establishing these methods, including data collection, exploratory analysis, classification techniques, and validation. The paper emphasizes the importance of using multiple data sources and techniques to improve the accuracy of food fraud detection.

Author

OSCAR DE JESUS FLORES

Language

EN