Abstract

To date it is well known that there is not a unique best analytical technique that alone is capable of answering the question whether a food is authentic or not, nor there is the best mathematical classifier to correctly interpret the results assigning one sample to one or another population. A holistic and multidisciplinary approach benefitting from the knowledge and the skills/expertise acquired by different researches is therefore necessary to tackle this task. In this regard, it is fundamental to know in details the product, the different variables involved, the raw materials and the production processes. It is important to have an in thorough knowledge of the storage conditions of the food along the process chain, and to combine all the available information into an experimental design that should consider all the possible sources of variation.The collection of all these preliminary information represents the starting point to develop tailor-made projects, specifically designed on the objective of the study.In this regard, we need:o representative sampling, with respect to the objective to be achieved;o robust analytical results;o appropriate data interpretation (method, theoretical classification and real classification) based on mathematical classifiers able to distinguish / classify according to the pre-established purpose;o validation protocols. All these issues will be schematized and concisely presented in the present communication, aiming at establishing a universal protocol to be intended as guideline by food industries, suppliers, control laboratories, etc.. to help developing non targeted based methodologies. All authors thank Food Integrity Project, Università del Piemonte Orientale, CNR-ISPA, Innovative Solutions, ICETA, Coop Italia, Thermo Fisher Scientific and Mérieux NutriSciences for the opportunity to participate in this Research, of utmost importance for the dissemination of analytical services designed to verify the full transparency of final food products in terms of Authenticity and Integrity.

Autore Pugliese

• Monaci Linda , Lippolis Vincenzo

Tutti gli autori

• De Dominicis E.; Gritti E.; Piva M.; Meli V.; Saner S.; Garino C.; Locatelli M.; Arlorio M.; Leonardi G.; Portinale L.; Monaci L.; Lippolis V.; Gallo V.; Mafra I.; Amaral J.; Gottardi F.; Scaramagli S.; Faenza C.; Hollosi L.; Godula M.

Titolo volume/Rivista

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Anno di pubblicazione

2018

ISSN

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ISBN

978-2-9566303-2-6

Numero di citazioni Wos

Nessuna citazione

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Numero di citazioni Scopus

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Settori ERC

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Codici ASJC

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