中文摘要：侧流免疫(LFAs)的检测标记一直是传统的金纳米粒子(GNPs)，最近则用发光纳米粒子，如量子点(QDs)。然而，这些标记灵敏度低，成本高，特别是用在谷物中微量霉菌毒素的检测。本研究提供了一种简单的无定形碳纳米颗粒(ACNPs)的制备方法，并描述了用以ACNPs为标记的LFAs法(ACNP-LFAs)检测三种镰刀菌毒素。用ACNP-LFAs检测自然污染的玉米样品，结果与高效液相色谱-串联质谱法一致，表明用LFAs检测谷物中霉菌毒素时， ACNPs的灵敏度更高，是一种前景看好的替代GNPs的标记。
外文摘要：The detecting labels used for lateral flow immunoassays (LFAs) have been traditionally gold nanoparticles (GNPs) and, more recently, luminescent nanoparticles, such as quantum dots (QDs). However, these labels have low sensitivity and are costly, in particular, for trace detection of mycotoxins in cereals. Here, we provided a simple preparation procedure for amorphous carbon nanoparticles (ACNPs) and described multiplex LFAs employing ACNPs as labels (ACNP-LFAs) for detecting three Fusarium mycotoxins. The analytical performance of ACNPs in LFA was compared to GNPs and QDs using the same immunoreagents, except for the labels, allowing for their analytical characteristics to be objectively compared. The visual limit of detection for ACNP-LFAs in buffer was 8-fold better than GNPs and 2-fold better than QDs. Under optimized conditions, the quantitative limit of detection of ACNP-LFAs in maize was as low as 20 g/kg for deoxynivalenol, 13 yg/kg for T-2 toxin, and 1 mu g/kg for zearalenone. These measurements were much lower than the action level of these mycotoxins in maize. The accuracy and precision of the ACNP-LFAs were evaluated by analysis of spiked and incurred maize samples with recoveries of 84.6-109% and coefficients of variation below 13%. The results of ACNP-LFAs using naturally incurred maize samples showed good agreement with results from high-performance liquid chromatography tandem mass spectrometry, indicating that ACNPs were more sensitive labels than and a promising alternative to GNPs used in LFAs for detecting mycotoxins in cereals.
外文关键词：amorphous carbon nanoparticles；gold nanoparticles；quantum dots；multiplex lateral flow immunoassay；mycotoxins
作者：Zhang, XY；Yu, XZ；Wen, K；Li, CL；Marti, GM；Jiang, HY；Shi, WM；Shen, JZ；Wang, ZH；AF Zhang, Xiya；Yu, Xuezhi；Wen, Kai；Li, Chenglong
作者单位：China Agr Univ
期刊名称：JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
期刊影响因子：2.857
出版年份：2017
出版刊次：36
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