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采用机械辅助 QuEChERS 样品制备和 UHPLC-MS/MS 检测法测定燕麦中的 42 种真菌毒素。

Determination of 42 mycotoxins in oats using a mechanically assisted QuEChERS sample preparation and UHPLC-MS/MS detection.

机构信息

Institute for Global Food Security, Queen's University Belfast, Belfast, United Kingdom; Food Safety Department, Teagasc Food Research Centre, Ashtown, Dublin 15, Ireland.

Institute for Global Food Security, Queen's University Belfast, Belfast, United Kingdom.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2020 Aug 1;1150:122187. doi: 10.1016/j.jchromb.2020.122187. Epub 2020 May 22.

DOI:10.1016/j.jchromb.2020.122187
PMID:32473516
Abstract

A method was developed and validated for the simultaneous determination of 42 mycotoxins in oats. The method includes all the mycotoxins listed under Commission Regulation 1881/2006 and Commission Recommendation 165/2013, the emerging mycotoxins (beauvericin, alternariol, alternariol-methyl-ether and enniatins), and two masked metabolites, namely deoxynivalenol-3-glucoside and T-2-glucoside. The method also focuses on a wide range of analytes of toxicological interest. The sample preparation involved extraction with an aqueous acetic acid solution and acetonitrile, followed by QuEChERS with mechanically assisted vibrational shaking. No further clean-up steps were employed, and analysis was performed using ultra-high performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS). Trueness ranged between 78% and 158%, while precision ranged from 1.7% to 49.9% under within-laboratory reproducibility conditions. Beside the high degree of accuracy and sample throughput provided, the method can be applied to a large number of compounds currently not regulated, thus generating knowledge and for risk assessment purposes.

摘要

建立并验证了一种同时测定燕麦中 42 种真菌毒素的方法。该方法涵盖了委员会法规 1881/2006 和委员会建议 165/2013 中列出的所有真菌毒素、新兴真菌毒素(伏马菌素、交链孢酚、交链孢酚甲醚和恩镰孢菌素)以及两种被掩蔽的代谢物,即脱氧雪腐镰刀菌烯醇-3-葡萄糖苷和 T-2-葡萄糖苷。该方法还关注了广泛的毒理学相关分析物。样品制备包括用水乙酸溶液和乙腈提取,然后采用 QuEChERS 进行机械辅助振动摇晃提取。未采用进一步的净化步骤,采用超高效液相色谱-串联质谱(UHPLC-MS/MS)进行分析。在实验室重复性条件下,准确度在 78%至 158%之间,精密度在 1.7%至 49.9%之间。该方法除了提供高度的准确性和样品通量外,还可以应用于大量目前不受监管的化合物,从而为风险评估提供知识。

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