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Optimized sample preparation, data processing of data-independent acquisition methods for the robust quantification of trace-level host cell protein impurities in drug products

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NIAID Data Ecosystem2026-03-12 收录
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https://www.omicsdi.org/dataset/pride/PXD019668
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资源简介:
In this study, we developed powerful and reproducible MS-based analytical workflows coupling optimized and efficient sample preparations, library-free DIA acquisition method and stringent validation criteria. The performances of several preparation protocols and DIA versus classical DDA were evaluated using a series of four commercially available Drug Products. Depending on the selected protocols, the user has access to different information: on the one hand, a deep profiling of tens of identified HCPs, and on the other hand an accurate and reproducible (CV<12%) quantification of major HCPs. Overall, a final global HCP amount of a few tens of ppm in these mAb samples was measured, while reaching a sensitivity down to the sub-ppm level. Thus, this straightforward and robust approach can be intended as a routine quality control for whichever Drug Products’ analysis.
创建时间:
2020-10-19
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