Reveals how electrolyte composition affects AAV capsid stability, suggesting improvements for gene therapy manufacturing.
ions that weaken interprotein cohesion within the viral shell. Integrating nanopipette sensing with a self-supervised machine learning framework enabled quantitative discrimination of full and defective capsids based on their electromechanical fingerprints. Together, these results elucidate how electrolyte composition governs nanoscale capsid mechanics and establish nanopipette-based single-particle analysis combined with data-driven classification as a powerful tool for rapid and quantitative assessment of AAV stability and vector quality in gene therapy manufacturing.
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Khatri et al. (2026) studied this question.
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