中文摘要：黄曲霉毒素(AFs)是天然毒素，作为真菌次生代谢物产生，普遍存在于各种商品中，因其致癌作用，消费受黄曲霉毒素污染的食品对人体健康有害。一旦监管部门采取严格检测黄曲霉毒素的程序，便迫切需要开发快速、可靠而经济的筛选工具。本研究开发了一种基于竞争模式的灵敏而特异的试纸测试法，用于检测豆类制品，一种巴西主要农产品中的黄曲霉毒素。本方法为农产品在储存、运输、加工及处理中提供了一种前景很好的常规监测设备。
外文摘要：Aflatoxins (AFs) are natural toxins produced as secondary fungal metabolites. Common in diverse commodities, the consumption of aflatoxin-contaminated foodstuffs has harmful effects on human health mainly due to their carcinogenic effects. There is considerable demand for the development of rapid, reliable and cost-effective screening tools, once regulatory authorities employ strict procedures for detection of aflatoxins. In this study, a sensitive and specific strip test assay was developed, based on a competitive format, for the detection of aflatoxins in soybean, a major Brazilian agricultural commodity. A monoclonal antibody (mAb) was produced, named as 3B6, with high specificity to aflatoxins B1, M1, G1, G2 and B2. For the development of a strip test, colloidal gold particles were coated with 3B6 mAb and used as the detector reagent. An AFB1–BSA conjugate was sprayed at the test line of a nitrocellulose membrane to serve as a competitor reagent, with an anti-species-specific antibody used at the control line. The strip test developed was capable of detecting as little as 0.5 μg kg−1 of aflatoxin. To validate the strip test, soybean grains infected and non-infected with the aflatoxin-producing fungus Aspergillus flavus were employed. The applicability of the developed test was demonstrated by screening 12 foodstuff samples (soy protein and soy milk) collected from different local markets. The results indicated that the strip tests developed were capable of accurately qualitatively identified aflatoxin-contaminated samples in less than 10 min. This method offers a promising device for application in routine monitoring during storage, transport, processing and handling of agricultural commodities.
作者：Santos, VO；Pelegrini, PB；Mulinari, F；Lacerda, AF；Moura, RS；Cardoso, LPV；Buhrer-Sekula, S；Miller, RNG；Grossi-de-Sa, MF
作者单位：Univ Fed Rio Grande do Norte
期刊名称：ANALYTICAL METHODS
期刊影响因子：1.915
出版年份：2017
出版刊次：18
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