Multiplex Lateral Flow Immunoassays Based on Amorphous Carbon Nanoparticles for Detecting Three Fusarium Mycotoxins in Maize
Multiplex Lateral Flow Immunoassays Based on Amorphous Carbon Nanoparticles for Detecting Three Fusarium Mycotoxins in Maize
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DOI：
10.1021/acs.jafc.7b02827
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发表时间：
2017-09-13
影响因子：
6.1
通讯作者：
Wang, Zhanhui
中科院分区：
文献类型：
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作者：
Zhang, Xiya;Yu, Xuezhi;Wang, Zhanhui
用于侧向流动免疫分析(LFA)的检测标记传统上是金纳米颗粒(GNPs)，最近是发光纳米颗粒，如量子点(Qds)。然而，这些标签灵敏度低，成本高，特别是对于谷物中真菌毒素的痕量检测。在这里，我们提供了一种简单的无定形碳纳米颗粒(ACNPs)的制备方法，并描述了使用ACNPs作为标记的多重LFA(ACNP-LFA)用于检测三种镰刀菌毒素。将ACNPs在LFA中的分析性能与使用相同免疫反应剂的GNPs和量子点进行了比较，除了标记外，允许客观地比较它们的分析特性。缓冲液中ACNP-LFAs的视觉检测极限比GNPs高8倍，比量子点高2倍。在优化的条件下，玉米中脱氧雪腐镰刀菌烯醇、T-2毒素和玉米赤霉烯酮的定量检出限分别为20g/kg、13g/kg和1mU/kg。这些测量结果远远低于这些真菌毒素在玉米中的作用水平。通过对玉米加标样品和发生样品的分析，评价了ACNP-LFAs的准确度和精密度，加标回收率为84.6-109%，变异系数小于13%。用自然产生的玉米样品进行ACNP-LFAs的检测结果与高效液相色谱-串联质谱仪的结果一致，表明ACNP是一种比GNPs更灵敏的标记物，是检测谷物中真菌毒素的一种有前景的GNPs。
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.