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

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.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11567/786399
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 16
social impact