This pre-print (open access) reviews recent advances in electroanalytical methods.  These have the advantage, for food authenticity applications, that they are generally cost-effective and adaptable to field conditions. This review covers the application of these techniques across various food matrices, including olive oil, honey, milk, and alcoholic beverages.

The author reports that, by leveraging methodologies such as voltammetry and chemometric data processing, significant advancements have been achieved in identifying both specific and non-specific adulterants.

The review highlights novel electrode materials, such as carbon-based nanostructures and ionic liquids, which enhance sensitivity and selectivity. Additionally, electronic tongues employing multivariate analysis have shown promise in distinguishing authentic products from adulterated ones.

The integration of machine learning and miniaturization offers potential for on-site testing, making these techniques accessible to non-experts. Despite challenges such as matrix complexity and the need for robust validation, the author concludes that electroanalytical methods represent a transformative approach to food authentication.

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