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基于微流控芯片的液相色谱-质谱联用技术在生物分析中的小分子测定。

Microfluidic chip-based liquid chromatography coupled to mass spectrometry for determination of small molecules in bioanalytical applications.

机构信息

Department of Chemistry, Soochow University, Taipei, Taiwan.

出版信息

Electrophoresis. 2012 Feb;33(4):635-43. doi: 10.1002/elps.201100380.

Abstract

The development and integration of microfabricated liquid chromatography (LC) microchips have increased dramatically in the last decade due to the needs of enhanced sensitivity and rapid analysis as well as the rising concern on reducing environmental impacts of chemicals used in various types of chemical and biochemical analyses. Recent development of microfluidic chip-based LC mass spectrometry (chip-based LC-MS) has played an important role in proteomic research for high throughput analysis. To date, the use of chip-based LC-MS for determination of small molecules, such as biomarkers, active pharmaceutical ingredients (APIs), and drugs of abuse and their metabolites, in clinical and pharmaceutical applications has not been thoroughly investigated. This mini-review summarizes the utilization of commercial chip-based LC-MS systems for determination of small molecules in bioanalytical applications, including drug metabolites and disease/tumor-associated biomarkers in clinical samples as well as adsorption, distribution, metabolism, and excretion studies of APIs in drug discovery and development. The different types of commercial chip-based interfaces for LC-MS analysis are discussed first and followed by applications of chip-based LC-MS on biological samples as well as the comparison with other LC-MS techniques.

摘要

过去十年中,由于对提高灵敏度和快速分析的需求以及对减少各种类型的化学和生化分析中所用化学品的环境影响的日益关注,微制造液相色谱 (LC) 微芯片的开发和集成得到了极大的发展。基于微流控芯片的 LC 质谱 (LC-MS) 的最新发展在高通量分析的蛋白质组学研究中发挥了重要作用。迄今为止,基于芯片的 LC-MS 用于临床和药物应用中小分子(如生物标志物、活性药物成分 (API)、滥用药物及其代谢物)的测定尚未得到深入研究。本文综述了商业芯片 LC-MS 系统在生物分析应用中测定小分子的应用,包括临床样品中的药物代谢物和与疾病/肿瘤相关的生物标志物以及药物发现和开发中 API 的吸收、分布、代谢和排泄研究。首先讨论了用于 LC-MS 分析的不同类型的商业芯片接口,然后介绍了基于芯片的 LC-MS 在生物样品上的应用以及与其他 LC-MS 技术的比较。

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