Non-targeted methods (NTMs) are being increasingly developed and adopted to detect food fraud and identify the authenticity of the food. Method validation is a critical step before bringing the NTMs to the routine to be assured of method performance and trust that its outcomes are reliable. However, the paucity of well structured and harmonized validation strategies has been one of the hurdles, withholding the exploitation of NTMs. This report aims to describe a validation framework for methods that involve binary classification, which are prevalent in non-targeted workflows. We foresee this work to contribute to filling the current gap in the provisions for NTM method validation; perhaps also push the dialogue further to collectively resolve existing challenges.

中文翻译：

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二进制非针对性方法的验证：数学框架和实验设计

非目标方法（NTM）越来越多地被开发和采用，以检测食品欺诈和识别食品的真实性。方法验证是使NTM进入例行程序的关键步骤，以确保方法性能并相信其结果可靠。但是，缺乏结构完善和统一的验证策略已成为阻碍使用NTM的障碍之一。本报告旨在描述涉及二进制分类的方法的验证框架，该方法在非目标工作流中很普遍。我们预计这项工作将有助于填补NTM方法验证规定中的当前空白；也许还可以进一步推动对话，以共同解决现有挑战。