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建立并验证了一种用于同时检测 15 种食品中四种交链孢霉毒素的同位素稀释液相色谱-串联质谱法。

Development and validation of stable isotope dilution LC-MS/MS method for simultaneous quantification of four Alternaria toxins in 15 food commodities.

机构信息

State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu 214122, People's Republic of China; International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, People's Republic of China.

Wuxi Food Safety Inspection and Test Center, 35-210 South Changjiang Road, Wuxi, Jiangsu Province 214142, People's Republic of China.

出版信息

Food Chem. 2024 Nov 1;457:140122. doi: 10.1016/j.foodchem.2024.140122. Epub 2024 Jun 18.

Abstract

Alternaria toxins (ATs) are produced from Alternaria species that result in crop losses and harmful impacts on human health. A stable isotope dilution LC-MS/MS method was established to quantify four ATs in 15 food commodities: alternariol (AOH), alternariol monomethyl ether (AME), tentoxin (TEN), and tenuazonic acid (TeA). Based on systematically optimization of detection conditions and pre-processing steps, the limits of detection and limits of quantification of the four ATs ranged from 0.1 to 10 μg/kg and 0.2 to 30 μg/kg, respectively. The results showed that the recoveries of the four ATs were 72.0%-119.1%. The intra-precision and inter-precision ranged from 0.7% to 11.1% and 1.1% to 13.1%, respectively. The method was successfully applied to the determination of four ATs in 35 food samples, suggesting that this method could provide meaningful occurrence data to support the assessment of emerging ATs in food commodities.

摘要

交替单端孢霉毒素(ATs)是由交替单端孢霉产生的,会导致农作物减产,并对人类健康造成有害影响。本研究建立了一种稳定同位素稀释 LC-MS/MS 方法,用于定量分析 15 种食品中的 4 种 ATs:交链孢酚(AOH)、交链孢酚单甲醚(AME)、萎蔫毒素(TEN)和棒曲霉素(TeA)。通过对检测条件和预处理步骤进行系统优化,四种 ATs 的检测限和定量限分别在 0.1-10μg/kg 和 0.2-30μg/kg 范围内。结果表明,四种 ATs 的回收率为 72.0%-119.1%。四种 ATs 的日内精密度和日间精密度分别在 0.7%-11.1%和 1.1%-13.1%范围内。该方法成功应用于 35 个食品样品中四种 ATs 的测定,为评估食品中新兴 ATs 提供了有意义的发生数据。

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