Multivariate class modeling for the verification of food-authenticity claims

作者：Oliveri Paolo^*; Downey Gerard

来源：TrAC-Trends in Analytical Chemistry, 2012, 35: 74-86.

DOI：10.1016/j.trac.2012.02.005

• Chemometrics
• Class modeling
• Class space
• Discriminant classification
• Food authenticity
• Fraud detection
• Multivariate quality control
• Pattern recognition
• Performance evaluation
• Verification

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 %26quot;Is sample X, which claims to be of type A, compatible with type-A samples on the basis of its analytical measurements?%26quot;. %26lt;br%26gt;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.

• 出版日期2012-5