Dagnac Thierry, Latorre Alicia, Fernández Lorenzo Bruno, Llompart Maria
a Department of Animal Production , INGACAL (Galician Institute for Food Quality) -CIAM (Agrarian and Agronomic Research Centre), Laboratory of Food/Feed Safety and Organic Contaminants , A Coruña , Spain.
b Department of Analytical Chemistry, Nutrition and Food Science. Faculty of Chemistry , Campus Vida. University of Santiago de Compostela , Santiago de Compostela , Spain.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2016 Dec;33(12):1850-1863. doi: 10.1080/19440049.2016.1243806. Epub 2016 Oct 26.
The first objective of this study was the validation of an efficient multi-analyte method for the simultaneous detection and quantification of mycotoxins in maize silage, by reverse-phase liquid chromatography coupled with electrospray ionisation triple quadrupole mass spectrometry (LC-HESI-MS/MS). A simple liquid/solid extraction was performed either with clean-up on Mycospin 400 columns or without any clean-up. Almost all the target mycotoxins showed highly-suppressed signals in the presence of a matrix, emphasising the need to quantitate mycotoxins by means of matrix-matched calibrations. An alternative validation method based on ISO 11843 and on a single factor balanced design was implemented. The achieved average recoveries from spiked samples at three levels ranged from 60% to 122% with relative standard deviations (rsd) below 11%. Limits of Detection (LODs) and Limits of Quantification (LOQs) were between 0.02-17.1 µg kg and 0.06-57 µg kg. The calculated repeatability and within-lab reproducibility ranged from 5.2 to 23.2% and from 7.2 to 23.9%, respectively. Finally, the decision limit and detection capacity, CCα and CCβ, were calculated for all mycotoxins having regulated/recommended contents in feed. The validated method was applied to 148 samples collected over two years in 19 dairy farms from Galicia (NW Spain). Of the analysed samples, 62% contained at least one mycotoxin. Zearalenone (ZEA), deoxynivalenol (DON), fumonisins B1 and B2, roquefortine C, α-zearalenol, β-zearalenol, enniatins B and B1, andrastin A, marcfortine A, verruculogen and mycophenolic acid were quantified, the highest average detection frequency being for enniatin B (51%). DON, mycophenolic acid and ZEA plus metabolites (α-zearalenol, β-zearalenol) were the most abundant mycotoxins.
本研究的首要目标是验证一种高效的多分析物方法,该方法通过反相液相色谱与电喷雾电离三重四极杆质谱联用(LC-HESI-MS/MS),同时检测和定量玉米青贮饲料中的霉菌毒素。采用简单的液/固萃取法,萃取过程可以在Mycospin 400柱上进行净化,也可以不进行任何净化。几乎所有目标霉菌毒素在存在基质的情况下信号都受到高度抑制,这突出了通过基质匹配校准来定量霉菌毒素的必要性。实施了一种基于ISO 11843和单因素平衡设计的替代验证方法。在三个添加水平下,加标样品的平均回收率在60%至122%之间,相对标准偏差(rsd)低于11%。检测限(LOD)和定量限(LOQ)分别在0.02 - 17.1 μg/kg和0.06 - 57 μg/kg之间。计算得出的重复性和实验室内再现性分别在5.2%至23.2%和7.2%至23.9%之间。最后,针对饲料中具有规定/推荐含量的所有霉菌毒素计算了决策限和检测能力CCα和CCβ。该验证方法应用于从西班牙西北部加利西亚地区19个奶牛场在两年内收集的148个样品。在分析的样品中,62%至少含有一种霉菌毒素。对玉米赤霉烯酮(ZEA)、脱氧雪腐镰刀菌烯醇(DON)、伏马毒素B1和B2、罗克福特青霉毒素C、α-玉米赤霉烯醇、β-玉米赤霉烯醇、恩镰孢菌素B和B1、安曲霉素A、马库福汀A、疣孢漆斑毒素和霉酚酸进行了定量,其中恩镰孢菌素B的平均检测频率最高(51%)。DON、霉酚酸以及ZEA及其代谢物(α-玉米赤霉烯醇、β-玉米赤霉烯醇)是含量最丰富的霉菌毒素。