AUTHOR=Liang George , Sha Sha , Wang Zhao , Liu Huolong , Yoon Seongkyu 

TITLE=Soft-sensor model development for CHO growth/production, intracellular metabolite, and glycan predictions

JOURNAL=Frontiers in Molecular Biosciences

VOLUME=Volume 11 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/molecular-biosciences/articles/10.3389/fmolb.2024.1441885

DOI=10.3389/fmolb.2024.1441885

ISSN=2296-889X

ABSTRACT=Therapeutic protein product quality is pivotal for efficacy, safety, and pharmacokinetics/pharmacodynamics. AssessingEfficaciously assessing product quality remains time-and resource-intensive. Online Process Analytical Technologies (PATs), encompassing realtime monitoring tools and soft-sensor models, are indispensable for understanding these process effects and real-time product quality. This research study evaluated three distinct modeling approaches for predicting CHO cell growth and production, intracellular metabolite concentrations (specificallymetabolites (extracellular, nucleotide sugar donors (NSD)),) and glycan profiles important for final product quality. These modeling approaches included mechanistic modeling):