A bare-eye based one-step signal amplified semiquantitative immunochromatographic assay for the detection of imidacloprid in Chinese cabbage samples

文献类型： 外文期刊

第一作者： Fang, Qingkui

作者： Fang, Qingkui;Wang, Limin;Cheng, Qi;Cai, Jia;Wang, Yulong;Yang, Mingming;Hua, Xiude;Liu, Fengquan;Liu, Fengquan

作者机构：

关键词： Signal amplification;Bare-eye based semi-quantitative;Immunochromatographic assay;Imidacloprid;Chinese cabbage

期刊名称：ANALYTICA CHIMICA ACTA （ 影响因子：6.558； 五年影响因子：6.228 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： A novel bare-eye based one-step signal amplified semi-quantitative immunochromatographic assay (SAS-ICA) was developed for detection of the pesticide imidacloprid. This method was based on competitive immunoreactions. Signal amplification was achieved by dual labeling of the test lines (TLs) on the strip using high affinity nanogold-biotinylated anti-imidacloprid mAb (BAb) and nanogoldstreptavidin (Sa) probes. The relative color intensities of three TLs (TL-I, TL-II and TL-III) on a nitrocellulose (NC) membrane were used for direct visual analysis of the SAS-ICA strips, and could be used for semi-quantitation of analyte concentrations by observing what TLs disappeared in the amplification zone. Under optimized conditions, the following imidacloprid concentration ranges would be detected by visual examination of the SAS-ICA strip: 0-5 ng mL(-1) (negative samples), and 5-25 ng mL(-1), 25-250 ng mL(-1), 250-1000 ng mL(-1) and >1000 ng mL(-1) (positive samples). The sensitivity (the visual detection limit (VDL) of TL-III) and semi-quantitative analytical capacity (when TL-III disappeared completely) of the SAS-ICA strip were 10-fold and 160-fold higher than those of traditional ICA, respectively. The developed SAS-ICA strip was applied to the analysis of spiked and authentic contaminated Chinese cabbage samples in the laboratory and under field conditions, and the results were validated by high-performance liquid chromatography (HPLC). This process could be adopted as a potential generous technique for all ICA-based detection methods. (C) 2015 Elsevier B.V. All rights reserved.

分类号： O65

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