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用于复杂生物样品定量液体处理的灵活自动化方法。

Flexible automated approach for quantitative liquid handling of complex biological samples.

作者信息

Palandra Joe, Weller David, Hudson Gary, Li Jeff, Osgood Sarah, Hudson Emily, Zhong Min, Buchholz Lisa, Cohen Lucinda H

机构信息

Bioanalytical Research, Department of Pharmacokinetics, Dynamics & Metabolism, Pfizer Global Research and Development, 2800 Plymouth Road, Ann Arbor, Michigan 48105, USA.

出版信息

Anal Chem. 2007 Nov 1;79(21):8010-5. doi: 10.1021/ac070618s. Epub 2007 Sep 25.

Abstract

A fully automated protein precipitation technique for biological sample preparation has been developed for the quantitation of drugs in various biological matrixes. All liquid handling during sample preparation was automated using a Hamilton MicroLab Star Robotic workstation, which included the preparation of standards and controls from a Watson laboratory information management system generated work list, shaking of 96-well plates, and vacuum application. Processing time is less than 30 s per sample or approximately 45 min per 96-well plate, which is then immediately ready for injection onto an LC-MS/MS system. An overview of the process workflow is discussed, including the software development. Validation data are also provided, including specific liquid class data as well as comparative data of automated vs manual preparation using both quality controls and actual sample data. The efficiencies gained from this automated approach are described.

摘要

已开发出一种用于生物样品制备的全自动蛋白质沉淀技术,用于定量各种生物基质中的药物。样品制备过程中的所有液体处理均使用Hamilton MicroLab Star机器人工作站自动进行,该工作站包括根据Watson实验室信息管理系统生成的工作列表制备标准品和对照品、振荡96孔板以及施加真空。每个样品的处理时间少于30秒,或每96孔板约45分钟,然后即可立即注入LC-MS/MS系统。文中讨论了该过程工作流程的概述,包括软件开发。还提供了验证数据,包括特定液体类别的数据以及使用质量控制和实际样品数据对自动制备与手动制备进行比较的数据。描述了这种自动化方法所获得的效率。

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