工作流程
可用性
计算机科学
色谱法
质谱法
生物制药
化学
数据库
人机交互
生物
遗传学
作者
Katrin Heinrich,Sina Hoelterhoff,Saban Oezipek,Martin Winter,Tobias Rainer,Lucas Hourtoulle,Ingrid Grunert,Tobias Graf,Michael Leiß,Anja Bathke
出处
期刊:Pharmaceuticals
[Multidisciplinary Digital Publishing Institute]
日期:2025-03-12
卷期号:18 (3): 401-401
摘要
Background/Objectives: Multi-dimensional liquid chromatography coupled with mass spectrometry (mD-LC-MS) has emerged as a powerful technique for the in-depth characterization of biopharmaceuticals by assessing chromatographically resolved product variants in a streamlined and semi-automated manner. The study aims to demystify and enhance the accessibility to this powerful but inherently complex technique by detailing a robust and user-friendly instrument platform, allowing analysts to switch seamlessly between intact, subunit, and peptide mapping workflows. Methods: Starting from a commercially available Two-Dimensional Liquid Chromatography (2D-LC) system, we introduce specific hardware and software extensions leading to two versatile mD-LC-MS setups, in slightly different configurations. The technique’s efficacy is demonstrated through a case study on a cation exchange chromatography method assessing the charge variants of a bispecific antibody, isolating peak(s) of interest, followed by online sample processing, including reduction and enzymatic digestion, and subsequently mass spectrometry analysis. Results: The accuracy and reproducibility of both mD-LC-MS setups proposed in this study were successfully tested. Despite the complex peak patterns in the first dimension, the systems were equally effective in identifying and quantifying the underlying product species. This case study highlights the routine usability of mD-LC-MS technology for the characterization of (ultra) high-performance liquid chromatography (UHPLC) of therapeutic biomolecule. Conclusions: The demonstrated reliability and accuracy underscore the practicality of mD-LC-MS for routine use in biopharmaceutical analysis. Our detailed description of the mD-LC-MS systems and insights simplify access to this advanced technology for a broader scientific community, regardless of expertise level, and lower the entry barrier for its use in various research and industrial settings.
科研通智能强力驱动
Strongly Powered by AbleSci AI