Cited by 44

Recent Advances in LC–MS Based Characterization of Protein‐Based Bio‐Therapeutics—Mastering Analytical Challenges Posed by the Increasing Format Complexity

Graf, Tobias, Heinrich, Katrin, Grunert, Ingrid, Wegele, Harald, Haberger, Markus, Bulau, Patrick, Leiss, Michael·2020·Journal of Pharmaceutical and Biomedical Analysis

Abstract

Alongside the success of protein-based bio-therapeutics over the last decades and facilitated by advances both in protein engineering and manufacturing, new product formats progressively enter into the biopharmaceutical industry's pipelines with major implications on the analytical methods used for their characterization. While conventional approaches have proved sufficient for standard (IgG-like) molecules, the increased complexity of novel formats requires proper adjustments of the employed methodologies, in particular with regard to separation-based techniques coupled to UV/FLD detection. After introducing the status quo for the characterization of biopharmaceuticals in quality control settings, this review provides a comprehensive portrayal of emerging LC-MS based technologies, which have already demonstrated their potential to complement the existing analytical toolbox. In this context, the benefits of native LC-MS and two-/multidimensional LC-MS applications to assess product attributes while preserving the higher-order structure are discussed based on challenges arising from the analysis of complex product formats.

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Crossref · 10.1016/j.jpba.2020.113251

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  • Chromatography coupled with a suitable detector can efficiently identify CQAs such as charge variants, size variants and glycosylation patterns.

    “Chromatography coupled with a suitable detector can efficiently identify CQAs such as charge variants, size variants and glycosylation patterns [83].”

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Authors
Graf, T., Heinrich, K., Grunert, I., Wegele, H., Haberger, M., Bulau, P., & Leiss, M.
Venue
Journal of Pharmaceutical and Biomedical Analysis
Publisher
Elsevier BV
Published
2020-07
Volume
186
Pages
113251
ISSN
0731-7085
Cited by
44
References
5
Language
en

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