Key challenges and developments in non-targeted methods or systems to identify food adulteration

Sara Erasmus*, Saskia Van Ruth*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Food fraud is an ongoing global challenge that is amplified by the complexity of supply chain networks and fraudsters becoming more innovative in the way they commit fraud. There is a great need for rapid analytical tools that offer broad product screening. Non-targeted methods provide an approach by which a food matrix can be analysed and screened for adulterations. While various developments exist for rapid non-targeted approaches, there are still multiple challenges to overcome. More work is required to validate, harmonise and standardise non-targeted methods and the associated data interpretations. Promising advances include novel technological developments with devices becoming smaller and portable with increased sensitivity. It is undoubtedly that fingerprinting approaches generate huge datasets that need to be stored and utilised as effectively as possible; creating new opportunities for Big data analysis and the Internet of Things – both addressing the need to convert data into insights to act upon.
Original languageEnglish
Title of host publicationDeveloping smart agri-food supply chains
Subtitle of host publicationUsing technology to improve safety and quality
EditorsL. Manning
PublisherBurleigh Dodds Science Publishing Limited
Chapter6
Pages175-204
ISBN (Print)9781786767493
DOIs
Publication statusPublished - 7 Dec 2021

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