Data Fusion Strategies for Food Authentication

Federico Marini

Abstract

More and more often food authentication problems require measuring fingerprinting data on the sample by different analytical platforms. To get full advantage of the multi-platform characterization of the products, the possibility of integrating the information provided by the different data blocks into a single, holistic model (data fusion) should be considered.

Keywords

chemometrics, data fusion, classification, partial least squares discriminant analysis (PLS-DA), food authentication

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IMEKO-TC23-2016-048.pdf

DOI

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IMEKO TC

TC23 - Metrology in Food and Nutrition

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