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

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 spectr...

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Autores principales: Payne, Jessie, Cronin, James, Haer, Manjit, Krouse, Jason, Prosperi, William, Drolet-Vives, Katherine, Lieve, Matthew, Soika, Michael, Balmer, Matthew, Kirkitadze, Marina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8056174/
https://www.ncbi.nlm.nih.gov/pubmed/33897983
http://dx.doi.org/10.1016/j.csbj.2021.03.030
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author Payne, Jessie
Cronin, James
Haer, Manjit
Krouse, Jason
Prosperi, William
Drolet-Vives, Katherine
Lieve, Matthew
Soika, Michael
Balmer, Matthew
Kirkitadze, Marina
author_facet Payne, Jessie
Cronin, James
Haer, Manjit
Krouse, Jason
Prosperi, William
Drolet-Vives, Katherine
Lieve, Matthew
Soika, Michael
Balmer, Matthew
Kirkitadze, Marina
author_sort Payne, Jessie
collection PubMed
description 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.
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spelling pubmed-80561742021-04-23 In-line monitoring of surfactant clearance in viral vaccine downstream processing Payne, Jessie Cronin, James Haer, Manjit Krouse, Jason Prosperi, William Drolet-Vives, Katherine Lieve, Matthew Soika, Michael Balmer, Matthew Kirkitadze, Marina Comput Struct Biotechnol J Research Article 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. Research Network of Computational and Structural Biotechnology 2021-03-26 /pmc/articles/PMC8056174/ /pubmed/33897983 http://dx.doi.org/10.1016/j.csbj.2021.03.030 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Payne, Jessie
Cronin, James
Haer, Manjit
Krouse, Jason
Prosperi, William
Drolet-Vives, Katherine
Lieve, Matthew
Soika, Michael
Balmer, Matthew
Kirkitadze, Marina
In-line monitoring of surfactant clearance in viral vaccine downstream processing
title In-line monitoring of surfactant clearance in viral vaccine downstream processing
title_full In-line monitoring of surfactant clearance in viral vaccine downstream processing
title_fullStr In-line monitoring of surfactant clearance in viral vaccine downstream processing
title_full_unstemmed In-line monitoring of surfactant clearance in viral vaccine downstream processing
title_short In-line monitoring of surfactant clearance in viral vaccine downstream processing
title_sort in-line monitoring of surfactant clearance in viral vaccine downstream processing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8056174/
https://www.ncbi.nlm.nih.gov/pubmed/33897983
http://dx.doi.org/10.1016/j.csbj.2021.03.030
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