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High-Resolution Demultiplexing (HRdm) Ion Mobility Spectrometry–Mass Spectrometry for Aspartic and Isoaspartic Acid Determination and Screening

化学 离子迁移光谱法 质谱法 分辨率(逻辑) 离子迁移谱-质谱 色谱法 离子 高分辨率 分析化学(期刊) 选择性反应监测 串联质谱法 有机化学 遥感 计算机科学 地质学 人工智能
作者
Karen E. Butler,James N. Dodds,Tawnya G. Flick,Iain D. G. Campuzano,Erin Baker
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (16): 6191-6199 被引量:17
标识
DOI:10.1021/acs.analchem.1c05533
摘要

Isomeric peptide analyses are an analytical challenge of great importance to therapeutic monoclonal antibody and other biotherapeutic product development workflows. Aspartic acid (Asp, D) to isoaspartic acid (isoAsp, isoD) isomerization is a critical quality attribute (CQA) that requires careful control, monitoring, and quantitation during the drug discovery and production processes. While the formation of isoAsp has been implicated in a variety of disease states such as autoimmune diseases and several types of cancer, it is also understood that the formation of isoAsp results in a structural change impacting efficacy, potency, and immunogenic properties, all of which are undesirable. Currently, lengthy ultrahigh-performance liquid chromatography (UPLC) separations are coupled with MS for CQA analyses; however, these measurements often take over an hour and drastically limit analysis throughput. In this manuscript, drift tube ion mobility spectrometry–mass spectrometry (DTIMS–MS) and both a standard and high-resolution demultiplexing approach were utilized to study eight isomeric Asp and isoAsp peptide pairs. While the limited resolving power associated with the standard DTIMS analysis only separated three of the eight pairs, the application of HRdm distinguished seven of the eight and was only unable to separate DL and isoDL. The rapid high-throughput HRdm DTIMS–MS method was also interfaced with both flow injection and an automated solid phase extraction system to present the first application of HRdm for isoAsp and Asp assessment and demonstrate screening capabilities for isomeric peptides in complex samples, resulting in a workflow highly suitable for biopharmaceutical research needs.
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