Intact multi-attribute method (iMAM): A flexible tool for the analysis of monoclonal antibodies
European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V(2022)
摘要
The availability of rapid methods that can accurately define and quantify biopharmaceutical critical quality attributes has been the driving force for the implementation of mass spectrometry techniques throughout the development and production pipeline. While the multi-attribute method (MAM) has become widely adopted and developed, some critical information cannot be monitored through this workflow, such as correct chain assembly or the presence of fragments or aggregates. In this study, we combine intact protein mass spectrometry and the multi-attribute method to create an intact multi-attribute method – or iMAM. Using a CFR Part 11 compliant data system, we evaluated the proposed workflow using several intact analysis approaches under both denaturing and native conditions. As for the standard MAM approach, iMAM involves the generation of an intact protein target workbook which is created from the analysis of a reference sample, with ID confirmation obtained from deconvolution results and chromatographic retention times, while quantitation is obtained from the intensities of the m/z of most abundant charge states. The created processing method is then applied to the analysis of subsequent samples. New peak detection can also be performed, monitoring the number of components revealed after each analysis. The entire data process can be automated to generate a report within the chromatography data system software. Three case studies presented herein show the potential of iMAM for implementation at different stages of the production pipeline, from product development to stability testing and batch release.
更多查看译文
关键词
MAM,native MS,Monoclonal antibody,Intact protein analysis,New peak detection,Biopharmaceutical
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要