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免疫分析方法检测二恶英和相关化学品。

Immunoanalysis methods for the detection of dioxins and related chemicals.

机构信息

State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.

出版信息

Sensors (Basel). 2012 Dec 5;12(12):16710-31. doi: 10.3390/s121216710.

DOI:10.3390/s121216710
PMID:23443395
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3571807/
Abstract

With the development of biotechnology, approaches based on antibodies, such as enzyme-linked immunosorbent assay (ELISA), active aryl hydrocarbon immunoassay (Ah-I) and other multi-analyte immunoassays, have been utilized as alternatives to the conventional techniques based on gas chromatography and mass spectroscopy for the analysis of dioxin and dioxin-like compounds in environmental and biological samples. These screening methods have been verified as rapid, simple and cost-effective. This paper provides an overview on the development and application of antibody-based approaches, such as ELISA, Ah-I, and multi-analyte immunoassays, covering the sample extraction and cleanup, antigen design, antibody preparation and immunoanalysis. However, in order to meet the requirements for on-site fast detection and relative quantification of dioxins in the environment, further optimization is needed to make these immuno-analytical methods more sensitive and easy to use.

摘要

随着生物技术的发展,基于抗体的方法,如酶联免疫吸附测定(ELISA)、活性芳香烃免疫测定(Ah-I)和其他多分析物免疫测定,已被用作替代传统的基于气相色谱和质谱的技术,用于分析环境和生物样品中的二恶英和类二恶英化合物。这些筛选方法已被证明是快速、简单和经济有效的。本文综述了基于抗体的方法,如 ELISA、Ah-I 和多分析物免疫测定的发展和应用,涵盖了样品提取和净化、抗原设计、抗体制备和免疫分析。然而,为了满足环境中二恶英现场快速检测和相对定量的要求,需要进一步优化这些免疫分析方法,以提高其灵敏度和易用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/3571807/e5230b4f1df8/sensors-12-16710f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/3571807/f6b99e2188e6/sensors-12-16710f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/3571807/e5230b4f1df8/sensors-12-16710f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/3571807/f6b99e2188e6/sensors-12-16710f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/3571807/e5230b4f1df8/sensors-12-16710f2.jpg

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