Journal
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Volume 35, Issue -, Pages 74-86Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.trac.2012.02.005
Keywords
Chemometrics; Class modeling; Class space; Discriminant classification; Food authenticity; Fraud detection; Multivariate quality control; Pattern recognition; Performance evaluation; Verification
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Food authenticity is a challenging analytical problem normally addressed using sophisticated laboratory methods that produce large data sets. Multivariate mathematical methods are required to process such data sets, typically to answer a question such as Is sample X, which claims to be of type A, compatible with type-A samples on the basis of its analytical measurements?. We recommend class-modeling methods to answer this type of question and discuss the principles, the practice and the results of several types of such methods. We also compare them, in terms of advantages and short-comings, with the discriminant-classification approach. (C) 2012 Elsevier Ltd. All rights reserved.
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