The safeguard of food products which undergo European Union authenticity regulations, such as "Protected Designation of Origin" (PDO) or “Protected Geographical Indication” (PGI), is nowadays of increasing relevance, since several EU resolutions have shown an unequivocal intention towards the valorisation of food and oenological products which are typical of a given region, with the twofold aim of defending the producers, who have to undergo stricter regulations so that their product can bear a mark which grants a higher added value, and the consumers, for which the same mark carries with it a concept of higher quality of the product which must correspond to the truth. In an analytical chemistry context, much attention is given to the development of methods of analysis which can characterize in a fast and cheap way the products, giving information on their quality and authenticity. In the present study, Low-Field 1H Nuclear Magnetic Resonance Relaxometry (LF-1H-NMR) has been used to investigate a product which is typical of Modena (Italy) district, that is Aceto Balsamico Tradizionale di Modena (ABTM, Balsamic vinegar), which is appointed with the “Protected Designation of Origin” (PDO) mark. One of the main advantages of this technique, as reported in literature for food and beverage contexts, is the possibility of analysing the sample “as is” in few seconds and of acquiring insight on the relaxation behaviour. The results, interpreted with a Multivariate Analysis approach, allow a clear classification of products of different commercial classes and differentiation of succedaneum products, which can be of help in verifying the authenticity. In particular, both CPMG relaxation profile curves analysed as raw “fingerprint” signals and the transversal relaxation time T2 of the different components present in the samples obtained by means of the multi-way PowerSlicing approach can be used to elaborate SIMCA classification models which consistently distinguish the two main commercial classes and aging times of ABTM samples and correctly reject succedaneum products such as not PDO balsamic creams.
LF-1H-NMR AND MULTIVARIATE ANALYSIS TO STUDY OENOLOGICAL PRODUCTS UNDER AUTHENTICITY REGULATION / Elia, A.; LI VIGNI, Mario; Cocchi, Marina; Bro, R.. - STAMPA. - 1:(2012), pp. 211-212. (Intervento presentato al convegno CAC-2012, XIII Chemometrics in Analytical Chemistry tenutosi a Budapest nel 25-29 Giugno 2012).
LF-1H-NMR AND MULTIVARIATE ANALYSIS TO STUDY OENOLOGICAL PRODUCTS UNDER AUTHENTICITY REGULATION
LI VIGNI, Mario;COCCHI, Marina;
2012
Abstract
The safeguard of food products which undergo European Union authenticity regulations, such as "Protected Designation of Origin" (PDO) or “Protected Geographical Indication” (PGI), is nowadays of increasing relevance, since several EU resolutions have shown an unequivocal intention towards the valorisation of food and oenological products which are typical of a given region, with the twofold aim of defending the producers, who have to undergo stricter regulations so that their product can bear a mark which grants a higher added value, and the consumers, for which the same mark carries with it a concept of higher quality of the product which must correspond to the truth. In an analytical chemistry context, much attention is given to the development of methods of analysis which can characterize in a fast and cheap way the products, giving information on their quality and authenticity. In the present study, Low-Field 1H Nuclear Magnetic Resonance Relaxometry (LF-1H-NMR) has been used to investigate a product which is typical of Modena (Italy) district, that is Aceto Balsamico Tradizionale di Modena (ABTM, Balsamic vinegar), which is appointed with the “Protected Designation of Origin” (PDO) mark. One of the main advantages of this technique, as reported in literature for food and beverage contexts, is the possibility of analysing the sample “as is” in few seconds and of acquiring insight on the relaxation behaviour. The results, interpreted with a Multivariate Analysis approach, allow a clear classification of products of different commercial classes and differentiation of succedaneum products, which can be of help in verifying the authenticity. In particular, both CPMG relaxation profile curves analysed as raw “fingerprint” signals and the transversal relaxation time T2 of the different components present in the samples obtained by means of the multi-way PowerSlicing approach can be used to elaborate SIMCA classification models which consistently distinguish the two main commercial classes and aging times of ABTM samples and correctly reject succedaneum products such as not PDO balsamic creams.Pubblicazioni consigliate
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