Non-targeted approaches are being increasingly developed and adopted to detect food fraud. Thorough method validation is critical before using non-targeted methods routinely, to be assured of their performance.
A lack of well-structured and harmonized validation strategies has been one of the hurdles, withholding the broader adaptation of non-targeted methods. A novel paper aims to describe a validation framework for methods that involve binary classification, which are prevalent in non-targeted workflows.
The authors of the paper, scientists of QuoData and the German Federal Office of Consumer Protection and Food Safety, foresee this work to contribute to filling the current gap in the provisions for method validation of non-targeted approaches; perhaps also push the dialogue further to collectively resolve existing challenges.
Abstract and the full text of the publication can be found here:
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