中文摘要：2015年从巴西巴拉那州（PR）、南里奥格兰德州（RS）和圣保罗州（SP）的78个市镇收集了100份商业小麦籽粒样品。单独的次级样本用来分析脱氧雪腐镰刀菌烯醇（DON）、玉米烯酮（ZEN）和赭曲霉毒素A（OTA）的浓度，用到的方法为UHPLC-MS/MS（对照方法）和一种商业的酶联免疫检测（ELISA）试剂盒(AgraQuant (R))。进一步的研究应该集中在与免疫测定相比的多毒素方法，以了解过高估计的原因以及免疫测定作为快速筛选食物链中霉菌毒素的一种低成本方法的作用。
外文摘要：One hundred commercial wheat grain samples were collected during the 2015 season across 78 municipalities in the states of Parana (PR), Rio Grande do Sul (RS), and Sao Paulo (SP), Brazil. Separate subsamples were analyzed for the concentration of deoxynivalenol (DON), zearalenona (ZEA) and ochratoxin A (OTA) mycotoxins using two methods: UHPLC-MS/MS (reference method) and a commercial enzyme-linked immunosorbent assay (ELISA) (AgraQuant (R)). The OTA mycotoxin was not found in the samples by both methods. DON and ZEA were detected in 55 % and 39 % of the samples by the reference method, with overall mean levels of 795.2 mu g kg(-1) and 79.78 mu g kg(-1), respectively. There was a significant and positive correlation (Spearman rank) between DON and ZEA estimates by the reference method (r = 0.77, p < 0.001). The DON levels estimated by the immunoassay agreed poorly with the reference, being largely overestimated. Based on a cut-off level of 1000 mu g kg(-1), the immunoassay correctly classified 57 samples as true negatives and 15 as true positives. Only 28 were classified as false positives. For ZEA, the levels estimated by the two methods were in better agreement than for DON. Using the cut-off level of 200 mu g kg(-1), 96 % of the samples were classified correctly as true positives and only one sample was classified as false positive. The levels for both mycotoxins were mostly acceptable for human consumption. Further studies should focus on multi-toxin methods compared with immunoassays to understand the reasons of overestimation and the role of immunoassays as a cost-effective solution for fast screening of mycotoxins in the food chain.
外文关键词：Triticum aestivum；UHPLC; ELISA；trichothecenes；ochratoxin
作者：Duffeck, Maira Rodrigues；Tibola, Casiane Salete；Guarienti, Eliana Maria
作者单位：Empresa Brasileira de Pesquisa Agropecuaria
期刊名称：SCIENTIA AGRICOLA
期刊影响因子：0.954
出版年份：2017
出版刊次：4
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