Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis

Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis

Throughout the lifecycle of biopharmaceutical development and manufacturing, monoclonal antibodies (mAbs) are subjected to diverse interfacial stresses and encounter various container surfaces. These interactions can cause the formation of subvisible particles (SVPs) that complicate developability a...

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Bibliographic Details
Main Authors: Yibo Wang, Alexis Hanford, Mehdi Boroumand, Cavan Kalonia, Jesse Leissa, Mitali Shah, Tony Pham, Theodore Randolph, Indira Prajapati
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:mAbs
Subjects:
Machine learning
quartz crystal microbalance with dissipation
subvisible particles
liquid-solid interface
monoclonal antibodies
Developability
Online Access:https://www.tandfonline.com/doi/10.1080/19420862.2025.2501629
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https://www.tandfonline.com/doi/10.1080/19420862.2025.2501629

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