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PMID: 32672835 Published · ppublish English Journal Article

A CFD model for predicting protein aggregation in low-pH virial inactivation for mAb production.

Biotechnology and bioengineering ·Vol. 117 ·No. 11 ·2020-00-00 ·页码 3400-3412

Xing Z, Jin W, Xu X, Song Y, Huang C, Borys MC, Ghose S, Li ZJ

Abstract

Significant amounts of soluble product aggregates were observed in the low-pH viral inactivation (VI) operation during an initial scale-up run for an immunoglobulin-G 4 (IgG4) monoclonal antibody (mAb IgG4-N1). Being earlier in development, a scale-down model did not exist, nor was it practical to use costly Protein A eluate (PAE) for testing the VI process at scale, thus, a computational fluid dynamics (CFD)-based high-molecular weight (HMW) prediction model was developed for troubleshooting and risk mitigation. It was previously reported that the IgG4-N1 molecules upon exposure to low pH tend to change into transient and partially unfolded monomers during VI acidification (i.e., VIA) and form aggregates after neutralization (i.e., VIN). Therefore, the CFD model reported here focuses on the VIA step. The model mimics the continuous addition of acid to PAE and tracks acid distribution during VIA. Based on the simulated low-pH zone (≤pH 3.3) profiles and PAE properties, the integrated low-pH zone (ILPZ) value was obtained to predict HMW level at the VI step. The simulations were performed to examine the operating parameters, such as agitation speed, acid addition rate, and protein concentration of PAE, of the pilot scale (50-200 L) runs. The conditions with predictions of no product aggregation risk were recommended to the real scale-up runs, resulted in 100% success rate of the consecutive 12 pilot-scale runs. This study demonstrated that the CFD-based HMW prediction model could be used as a tool to facilitate the scale up of the low-pH VI process directly from bench to pilot/production scale.

Keywords
computational fluid dynamics high-molecular weight low-pH zone pH heterogeneities process scale-up species transfer model
作者与单位
共 8 位作者,点击展开单位 / ORCID
Xing Zizhuo ORCID
Biologics Process Development, Global Product Development and Supply, Bristol-Myers Squibb Company, Devens, Massachusetts.
Jin Weixin
Biologics Process Development, Global Product Development and Supply, Bristol-Myers Squibb Company, Devens, Massachusetts.
Xu Xuankuo ORCID
Biologics Process Development, Global Product Development and Supply, Bristol-Myers Squibb Company, Devens, Massachusetts.
Song Yuanli
Biologics Process Development, Global Product Development and Supply, Bristol-Myers Squibb Company, Devens, Massachusetts.
Huang Chao
Biologics Process Development, Global Product Development and Supply, Bristol-Myers Squibb Company, Devens, Massachusetts.
Borys Michael C
Biologics Process Development, Global Product Development and Supply, Bristol-Myers Squibb Company, Devens, Massachusetts.
Ghose Sanchayita
Biologics Process Development, Global Product Development and Supply, Bristol-Myers Squibb Company, Devens, Massachusetts.
Li Zheng Jian ORCID
Biologics Process Development, Global Product Development and Supply, Bristol-Myers Squibb Company, Devens, Massachusetts.
Article Info
Journal
Biotechnology and bioengineering
Abbr.
Biotechnol Bioeng
ISSN
1097-0290
Published
2020-00-00
电子出版
2020-00-28
页码
3400-3412
Language
English
Country/Region
United States
NLM ID
7502021
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