Literature DB >> 32563930

Tools to combat food fraud - A gap analysis.

Franz Ulberth1.   

Abstract

A complex legal and institutional framework exists in the EU to ensure the safety of the feed-food chain, while such an integrated system for combating food fraud is under development. The European Commission (EC) Knowledge Centre for Food Fraud and Quality is charged with the provision of scientific insight for the policy making of EC services dealing with food fraud, and the creation of expert networks with the competent authorities of the EU Member States. To flag gaps in the existing infrastructure needed for effectively and efficiently fighting food fraud, the Centre together with the competent authorities and several EC services undertook a stocktaking exercise of what works well and which areas will need improvement. Out of several focus areas, (i) the development of early warning systems, (ii) the availability of compositional databases of vulnerable foods, and (iii) the creation of centres of competence were prioritised for further action.
Copyright © 2020. Published by Elsevier Ltd.

Keywords:  Competence centres; Compositional databases; Early warning systems; Food adulteration; Food fraud

Year:  2020        PMID: 32563930     DOI: 10.1016/j.foodchem.2020.127044

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  5 in total

1.  Dietary Supplements Questioned in the Polish Notification Procedure upon the Basis of Data from the National Register of Functional Foods and the European System of the RASFF.

Authors:  Kacper Wróbel; Anna Justyna Milewska; Michał Marczak; Remigiusz Kozłowski
Journal:  Int J Environ Res Public Health       Date:  2022-07-03       Impact factor: 4.614

2.  The "Hygiene Package": Analysis of Fraud Rates in Italy in the Period before and after Its Entry into Force.

Authors:  Annalisa Previti; Domenico Vicari; Francesca Conte; Michela Pugliese; Valeria Gargano; Angela Alibrandi; Agata Zirilli; Annamaria Passantino
Journal:  Foods       Date:  2022-04-26

3.  A Bayesian Approach to Predict Food Fraud Type and Point of Adulteration.

Authors:  Jan Mei Soon; Ikarastika Rahayu Abdul Wahab
Journal:  Foods       Date:  2022-01-25

Review 4.  Strategic Priorities of the Scientific Plan of the European Research Infrastructure METROFOOD-RI for Promoting Metrology in Food and Nutrition.

Authors:  Maria Z Tsimidou; Stella A Ordoudi; Fani Th Mantzouridou; Nikolaos Nenadis; Tamara Stelzl; Michael Rychlik; Nastasia Belc; Claudia Zoani
Journal:  Foods       Date:  2022-02-19

Review 5.  Food Phenotyping: Recording and Processing of Non-Targeted Liquid Chromatography Mass Spectrometry Data for Verifying Food Authenticity.

Authors:  Marina Creydt; Markus Fischer
Journal:  Molecules       Date:  2020-08-31       Impact factor: 4.411

  5 in total

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