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A novel chemiluminescent immunochromatographic assay strip for rapid detection of mercury ions

文献类型： 外文期刊

作者： Wang, Xiaomei 1 ; Liu, Fengquan 2 ; Shao, Qian 1 ; Yin, Zhengrong 1 ; Wang, Limin 2 ; Fu, Zhifeng 1 ;

作者机构： 1.Southwest Univ, Coll Pharmaceut Sci, Minist Educ, Key Lab Luminescence Real Time Analyt Chem, Chongqing 400716, Peoples R China

2.Nanjing Agr Univ, Coll Plant Protect, Nanjing 210095, Jiangsu, Peoples R China

3.Jiangsu Acad Agr Sci, Inst Plant Protect, Nanjing 210014, Jiangsu, Peoples R China

期刊名称：ANALYTICAL METHODS （ 影响因子：2.896； 五年影响因子：2.716 ）

ISSN： 1759-9660

年卷期： 2017 年 9 卷 16 期

页码：

收录情况： SCI

摘要： Mercuric ions (Hg2+) have long been regarded as one of the most hazardous environmental pollutants with adverse effects on environmental safety and serious toxic effect on human health. In the present work, an anti-Hg2+ monoclonal antibody (anti-Hg2+ Mab) was prepared, which could directly recognize Hg2+ without the need for a chelator. This antibody was used to develop a chemiluminescent (CL) immunochromatographic assay strip (ICAS) for rapid, facile, specific and sensitive detection of Hg2+. A conjugate of ovalbumin and Hg2+ (OVA-Hg2+) adopted as a coating antigen was immobilized on a nitrocellulose membrane to assemble a test line of the developed ICAS. The anti-Hg2+ Mab was tagged with horseradish peroxidase (HRP) and deposited onto the conjugate pad of the ICAS to act as a signal tracer. After introduction of the sample solution containing Hg2+, the immobilized OVA-Hg2+ conjugate competed with Hg2+ in the sample solution to bind with HRP-tagged anti-Hg2+ Mab. Afterward, a CL reaction signal catalyzed by the bound HRP was collected to quantitate the level of Hg2+ in the sample solution. Under optimal conditions, the linear range for Hg2+ detection was 1.0-100 ng mL(-1), with a detection limit of 0.2 ng mL(-1) (S/N = 3). The whole detection procedure could be accomplished within 18 min. The recovery values of Salvia Miltiorrhiza and lake water samples spiked with Hg2+ were 94.5-114.8% and 88.0-90.0%, respectively, showing acceptable reliability for real sample detection.

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