Work

Sampling guidelines for building and curating food authenticity databases

Year: 2019

Type: article

Abstract: Background Food 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 & Technology

DOI: 10.1016/j.tifs.2019.02.019

Authors: James Donarski, Federica Camin, Carsten Fauhl-Hassek, Rob Posey, Mike Sudnik

Institutions: Fera Science (United Kingdom), Fondazione Edmund Mach, German Federal Institute for Risk Assessment (BfR)

Language: English

Topic: Identification and Quantification in Food

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Zero hunger

Open Access status: hybrid

Estimated APC paid: $3,250