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A review of the emerging technologies and systems to mitigate food fraud in supply chains.
Fernando, Indika; Fei, Jiangang; Cahoon, Stephen; Close, Dugald C.
Afiliação
  • Fernando I; Australian Maritime College (AMC), University of Tasmania, Newnham, TAS, Australia.
  • Fei J; Australian Maritime College (AMC), University of Tasmania, Newnham, TAS, Australia.
  • Cahoon S; Australian Maritime College (AMC), University of Tasmania, Newnham, TAS, Australia.
  • Close DC; Tasmanian Institute of Agriculture (TIA), University of Tasmania, Hobart, TAS, Australia.
Crit Rev Food Sci Nutr ; : 1-28, 2024 Oct 02.
Article em En | MEDLINE | ID: mdl-39356551
ABSTRACT
Food fraud has serious consequences including reputational damage to businesses, health and safety risks and lack of consumer confidence. New technologies targeted at ensuring food authenticity has emerged and however, the penetration and diffusion of sophisticated analytical technologies are faced with challenges in the industry. This review is focused on investigating the emerging technologies and strategies for mitigating food fraud and exploring the key barriers to their application. The review discusses three key areas of focus for food fraud mitigation that include systematic approaches, analytical techniques and package-level anti-counterfeiting technologies. A notable gap exists in converting laboratory based sophisticated technologies and tools in high-paced, live industrial applications. New frontiers such as handheld laser-induced breakdown spectroscopy (LIBS) and smart-phone spectroscopy have emerged for rapid food authentication. Multifunctional devices with hyphenating sensing mechanisms together with deep learning strategies to compare food fingerprints can be a great leap forward in the industry. Combination of different technologies such as spectroscopy and separation techniques will also be superior where quantification of adulterants are preferred. With the advancement of automation these technologies will be able to be deployed as in-line scanning devices in industrial settings to detect food fraud across multiple points in food supply chains.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Crit Rev Food Sci Nutr Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Crit Rev Food Sci Nutr Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália País de publicação: Estados Unidos