Abstract As a response to the demand for better efficiency and reliability in the monitoring of veterinary drug residues in food, liquid chromatography-mass spectrometry (LC-MS), either in tandem with quadrupoles (LC-MS/MS) or with high resolution systems (LC-HRMS), has become an attractive tool for screening purposes. However, the lack of reproducibility of the ionization yield observed by electrospray remains a major limitation for having powerful LC-MS platforms able to screen more than a hundred substances in a broad range of food on a reliable manner. False responses are not scarce, and require insightful approaches to mitigate them. This study describes a screening with analyte-specific correction of the matrix effect (SACME), as a strategy based upon the comparison of the chromatographic signals between the sample analyzed ‘as is’ and a replicate that has preliminarily been spiked at the action level. Emphasis was put on the high level of confidence in the results achieved with SACME, providing a self-quality control of each sample tested. The significant decrease in the variability of the responses compared to a screening with absolute abundance (SAA) of the signals is shown, and the perspective of screening a wide range of food matrices (raw materials, processed ingredients and finished products) without tedious technical precautions is highlighted. In the end, false response rates are compared, and data demonstrate unambiguously the benefit of the matrix effect attenuation against the common approach using absolute areas. No false positive (FP) was obtained with SACME, whilst a minimum of 2–14 compounds (over 105 substances in the scope of the method) exhibited false positive responses with SAA. With SACME, false negative (FN) rates as low as 1 to 5 compounds were obtained, whilst remained in the range 15–31 compounds with SAA.

中文翻译：

---

通过 LC-MS/MS 和基质效应的特定分析物校正在筛选食品中的 100 种兽药残留时的错误响应率低

摘要 作为对食品中兽药残留监测更高效率和可靠性的需求的回应，液相色谱-质谱 (LC-MS)，与四极杆 (LC-MS/MS) 或高分辨率系统串联(LC-HRMS) 已成为一种有吸引力的筛选工具。然而，通过电喷雾观察到的电离产率缺乏重现性仍然是强大的 LC-MS 平台能够以可靠的方式筛选范围广泛的食物中的一百多种物质的主要限制。错误响应并不稀缺，需要有见地的方法来减轻它们。本研究描述了使用特定于分析物的基质效应校正 (SACME) 进行的筛选，作为一种基于对“原样”分析的样品和已初步加标到作用水平的重复样品之间的色谱信号进行比较的策略。重点是对使用 SACME 获得的结果的高度信心，提供对每个测试样品的自我质量控制。与使用信号的绝对丰度 (SAA) 筛选相比，响应的可变性显着降低，并且无需繁琐的技术预防措施即可筛选各种食品基质（原材料、加工成分和成品）突出显示。最后，比较了错误响应率，数据明确地证明了矩阵效应衰减相对于使用绝对面积的常见方法的好处。SACME 没有获得假阳性 (FP)，而最少 2-14 种化合物（方法范围内超过 105 种物质）显示出 SAA 的假阳性反应。使用 SACME，获得了低至 1 到 5 个化合物的假阴性 (FN) 率，而使用 SAA 的假阴性 (FN) 率保持在 15-31 个化合物的范围内。