Seidel Michael, Niessner Reinhard
Chair for Analytical Chemistry and Institute of Hydrochemistry, Technische Universität München, Marchioninistrasse 17, 81377, München, Germany.
Anal Bioanal Chem. 2008 Jul;391(5):1521-44. doi: 10.1007/s00216-008-2039-3. Epub 2008 May 27.
Microarrays provide a powerful analytical tool for the simultaneous detection of multiple analytes in a single experiment. The specific affinity reaction of nucleic acids (hybridization) and antibodies towards antigens is the most common bioanalytical method for generating multiplexed quantitative results. Nucleic acid-based analysis is restricted to the detection of cells and viruses. Antibodies are more universal biomolecular receptors that selectively bind small molecules such as pesticides, small toxins, and pharmaceuticals and to biopolymers (e.g. toxins, allergens) and complex biological structures like bacterial cells and viruses. By producing an appropriate antibody, the corresponding antigenic analyte can be detected on a multiplexed immunoanalytical microarray. Food and water analysis along with clinical diagnostics constitute potential application fields for multiplexed analysis. Diverse fluorescence, chemiluminescence, electrochemical, and label-free microarray readout systems have been developed in the last decade. Some of them are constructed as flow-through microarrays by combination with a fluidic system. Microarrays have the potential to become widely accepted as a system for analytical applications, provided that robust and validated results on fully automated platforms are successfully generated. This review gives an overview of the current research on microarrays with the focus on automated systems and quantitative multiplexed applications.
微阵列提供了一种强大的分析工具,可在单个实验中同时检测多种分析物。核酸的特异性亲和反应(杂交)以及抗体对抗原的反应是产生多重定量结果最常见的生物分析方法。基于核酸的分析仅限于细胞和病毒的检测。抗体是更通用的生物分子受体,可选择性结合小分子,如农药、小毒素和药物,以及生物聚合物(如毒素、过敏原)和复杂的生物结构,如细菌细胞和病毒。通过制备合适的抗体,可在多重免疫分析微阵列上检测相应的抗原性分析物。食品和水分析以及临床诊断构成了多重分析的潜在应用领域。在过去十年中,已开发出多种荧光、化学发光、电化学和无标记微阵列读出系统。其中一些通过与流体系统结合构建成流通式微阵列。只要能在全自动平台上成功生成可靠且经过验证的结果,微阵列就有可能被广泛接受为一种分析应用系统。本综述概述了当前关于微阵列的研究,重点是自动化系统和定量多重应用。