Food PDO verification is a food authenticity issue. It is a challenging analytical problem normally tackled using complex laboratory techniques which produce large or very large data sets. Multivariate mathematical methods are required to process such data sets. A typical question which arises in these applications is “Is sample X, which claims to be of type A, compatible with type A samples on the basis of its analytical measurements?” Class-modelling and discriminant methods have been used to answer this type of question in the past. In this chapter, the principles, practice and results of several types of a number of such methods are discussed in terms of advantages, shortcomings and reported analytical success.
Discriminant and Class-Modelling Chemometric Techniques for Food PDO Verification
Oliveri, Paolo;
2013-01-01
Abstract
Food PDO verification is a food authenticity issue. It is a challenging analytical problem normally tackled using complex laboratory techniques which produce large or very large data sets. Multivariate mathematical methods are required to process such data sets. A typical question which arises in these applications is “Is sample X, which claims to be of type A, compatible with type A samples on the basis of its analytical measurements?” Class-modelling and discriminant methods have been used to answer this type of question in the past. In this chapter, the principles, practice and results of several types of a number of such methods are discussed in terms of advantages, shortcomings and reported analytical success.
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