Development of a Reliable ic-ELISA with a Robust Antimatrix Interference Capability Based on QuEChERS Technology for the Rapid Detection of Zearalenone in Edible and Medical Coix Seeds and Subsequent Risk Assessments.
Development of a Reliable ic-ELISA with a Robust Antimatrix Interference Capability Based on QuEChERS Technology for the Rapid Detection of Zearalenone in Edible and Medical Coix Seeds and Subsequent Risk Assessments.
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基于 QuEChERS 技术开发具有强大抗基质干扰能力的可靠 ic-ELISA,用于快速检测食用和医用薏苡仁中的玉米赤霉烯酮并进行后续风险评估
DOI:
10.3390/foods11192983
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发表时间:
2022-09-24
期刊:
影响因子:
--
通讯作者:
中科院分区:
文献类型:
--
作者:
Indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) is an ideal immunoassay method for large-scale screenings to detect mycotoxin contaminants. However, the matrix effect of complicated samples has always been challenging when performing immunoassays, as it leads to false-positive or negative results. In this study, convenient QuEChERS technology combined with optimizing the dilution solvent was ingeniously used to eliminate interference from the sample matrix to greatly improve the detection accuracy, and reliable ic-ELISAs for the two official tolerance levels of 60 and 500 μg/kg were developed to screen zearalenone (ZEN) in edible and medical coix seeds without any further correction. Then, the 122 batches of coix seeds were determined, and the positive rate was up to 97.54%. The contaminated distribution was further analyzed, and risk assessment was subsequently performed for its edible and medical purposes. The findings indicated that consumption of coix seeds with higher ZEN contamination levels may cause adverse health effects for both medical and edible consumption in the adult population; even under the condition of average contamination level, ZEN from coix seeds was the more prominent contributor to the total risk compared to other sources when used as food; thus, effective prevention and control should be an essential topic in the future.
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影响因子:
8.8
作者:
Hajok, Ilona;Kowalska, Anna;Cwielag-Drabek, Malgorzata
通讯作者:
Cwielag-Drabek, Malgorzata
影响因子:
8.8
作者:
Gross, Michael S.;Woodward, Emily E.;Hladik, Michelle L.
通讯作者:
Hladik, Michelle L.
影响因子:
6.2
作者:
Kong, Wei-Jun;Li, Jun-Yuan;Yang, Mei-Hua
通讯作者:
Yang, Mei-Hua
影响因子:
6.2
作者:
Hennion, MC;Barcelo, D
通讯作者:
Barcelo, D
影响因子:
8.8
作者:
Liu, Xiaofei;Liao, Xiaofang;Kong, Weijun
通讯作者:
Kong, Weijun