Sampling guidelines for building and curating food authenticity databases

Publication date: Available online 14 February 2019Source: Trends in Food Science & TechnologyAuthor(s): James Donarski, Federica Camin, Carsten Fauhl-Hassek, Rob Posey, Mike SudnikAbstractBackgroundFood fraud is a global issue often detected through the use of analytical testing. Analysis of suspect foodstuffs and comparison of their results to those contained within a food authenticity database is a typical approach. This scientific opinion was commissioned as part of the FoodIntegrity EU project to provide guidance for the creation of these food authenticity databases.This opinion paper provides what the authors believe are the most important considerations which must be addressed, when creating a food authenticity database. Specifically, the areas of database scope, analytical methodology, sampling, collection and storage of data, validation and curation are discussed.
Source: Trends in Food Science and Technology - Category: Food Science Source Type: research