In-line monitoring of surfactant clearance in viral vaccine downstream processing

• Main Authors: Jessie Payne, James Cronin, Manjit Haer, Jason Krouse, William Prosperi, Katherine Drolet-Vives, Matthew Lieve, Michael Soika, Matthew Balmer, Marina Kirkitadze
• Format: Article
• Language: English
• Published: Elsevier 2021-01-01
• Series: Computational and Structural Biotechnology Journal
• Subjects: Viral vaccine; Residuals; IR; ReactIR; PAT; Clearance
• Online Access: http://www.sciencedirect.com/science/article/pii/S2001037021001021
• ISSN: 2001-0370

Purpose: The goal of this study is to examine the suitability of in-line infrared measurements to monitor, in real-time, surfactant concentration in the viral vaccine drug substance during a 50KDa tangential flow filtration (TFF) process. Methods: A ReactIR™ 702L instrument was used to gather spectra of process off-line samples and reference materials to assess the feasibility of monitoring surfactant concentration during a TFF process in real-time. Both univariate and multivariate models were used to evaluate the off-line sample data and were found to be in good agreement with surfactant concentration values obtained by HPLC. These results were used as justification for a real-time TFF experiment with live process material. Results: Small scale ReactIR experiments with process material demonstrated that a multivariate model using the 1300 cm−1 to 1000 cm−1 spectral region can be used to predict surfactant concentrations between TFF exchanges 8 to 15. Conclusion: The results of this study demonstrated suitability of an in-line infrared measurement to monitor surfactant concentration in the viral vaccine drug substance between exchanges 8–15 of a 50 kDa tangential flow filtration process. The preliminary multivariate model used for this work can be further optimized for the in-line use at manufacturing scale.