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离子淌度-质谱联用技术测定药物及其代谢产物:综述

Determination of drugs and drug metabolites by ion mobility-mass spectrometry: A review.

作者信息

Ross Dylan H, Xu Libin

机构信息

Department of Medicinal Chemistry, University of Washington, 1959, NE Pacific Street, HSB H-172, Seattle, WA, USA.

Department of Medicinal Chemistry, University of Washington, 1959, NE Pacific Street, HSB H-172, Seattle, WA, USA.

出版信息

Anal Chim Acta. 2021 Apr 15;1154:338270. doi: 10.1016/j.aca.2021.338270. Epub 2021 Feb 2.

Abstract

Ion mobility-mass spectrometry (IM-MS) has gained increased applications in the characterization and identification of drugs and drug metabolites, largely owning to the complementary separation of analyte ions based on their gas-phase size and shape in the IM dimension in addition to their mass-to-charge ratios. In this review, we discuss recent advances in such applications. We first introduce various types of IM techniques, focusing on those that allow the measurement of collision cross section (CCS), the physical property of an ion that reflects its gas-phase size and shape. Next, we discuss the IM-MS landscape of the large chemical space of drugs and multimodal distributions of certain drugs in IM separation due to the presence of protomers. We then review drug metabolism reactions and discuss the application of IM-MS in separation and identification of isomeric drug metabolites. Subsequently, we discuss various approaches to generate theoretical and predicted CCS data, including theory-based calculation methods and data-driven prediction models, and currently available resources on these approaches. Finally, current limitations and future directions of application of IM-MS are discussed.

摘要

离子淌度-质谱联用(IM-MS)在药物及其代谢产物的表征与鉴定方面的应用日益增多,这主要归功于除了质荷比之外,基于分析物离子在淌度维度上的气相大小和形状对其进行的补充分离。在本综述中,我们讨论了此类应用的最新进展。我们首先介绍各种类型的淌度技术,重点关注那些能够测量碰撞截面(CCS)的技术,碰撞截面是反映离子气相大小和形状的物理性质。接下来,我们讨论药物的大型化学空间的IM-MS概况以及由于存在原异构体而导致某些药物在淌度分离中的多峰分布。然后,我们回顾药物代谢反应,并讨论IM-MS在分离和鉴定同分异构药物代谢产物中的应用。随后,我们讨论生成理论和预测CCS数据的各种方法,包括基于理论的计算方法和数据驱动的预测模型,以及关于这些方法的现有资源。最后,我们讨论了IM-MS当前的局限性和未来的应用方向。

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