适合抗体生产过程的实时氧气吸收率监测方法

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biochemical Engineering Journal Pub Date : 2024-08-10 DOI:10.1016/j.bej.2024.109463
Xin-Ran Zhang , Yong-Mei He , Liang Zhao , Wen-Song Tan , Qian Ye
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引用次数: 0

摘要

过去几十年来,用于生物治疗药物生产的大规模哺乳动物细胞培养技术取得了长足进步,这就需要采用过程分析技术(PAT)对关键质量属性进行实时测量,并指导精确的过程控制,以确保生产率、质量和一致性。氧摄取率(OUR)是表征哺乳动物细胞能量代谢的重要指标,可深入了解细胞状态和代谢动态。然而,目前抗体生产中的细胞 OUR 监测主要依赖于昂贵的气体分析仪或定期人工采样。在这里,我们介绍了一种基于固定液相平衡(SLPB)理论的在线监测生物反应器中细胞OUR的新方法,这种方法无需额外的设备或人力支出,就能将其适用性扩展到不同的通气和泡沫条件。我们对充气搅拌生物反应器的 kLa 进行了建模,评估了气体喷射引起的液面泡沫对氧气传输的影响,并使用滑动滤波器处理了原始 OUR 数据。所建立的方法被应用于监测中国仓鼠卵巢(CHO)细胞培养物用于抗体生产的实时 OUR,证明了其出色的准确性、灵敏度和可读性。根据设计质量(QbD)理念,这种实时 OUR 估算方法可快速检测代谢变化,揭示细胞生理机能,促进生物治疗药物生产过程中的精确反馈控制。
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A real-time oxygen uptake rate monitoring approach suitable for the antibody production process

Significant progress has been achieved in large-scale mammalian cell culture technology for biotherapeutics manufacturing over the past decades, necessitating the Process Analytical Technology (PAT) for the real-time measurement of critical quality attributes and the guidance for precise process control to ensure productivity, quality, and consistency. The Oxygen Uptake Rate (OUR) serves as a crucial indicator for characterizing the energy metabolism of mammalian cells, offering insights into cellular state and metabolism dynamics. However, current cellular OUR monitoring in antibody production depends mainly on costly gas analyzers or periodic manual sampling. Here, we introduce a novel method for in-line monitoring of cellular OUR in bioreactors based on the stationary liquid phase balance (SLPB) theory, which extends its applicability to diverse aeration and foam conditions without additional equipment or labor expenditures. We modeled the kLa of the aerated stirred bioreactor, assessed the influence of foam on liquid surfaces induced by gas sparging on oxygen transfer, and processed raw OUR data using a sliding filter. The established method was applied to monitoring the real-time OUR of Chinese Hamster Ovary (CHO) cell cultures for antibody production, demonstrating its excellent accuracy, sensitivity and readability. Aligned with the Quality by Design (QbD) concept, this real-time OUR estimation enables rapid detection of metabolic changes, revealing cellular physiology and facilitating precise feedback control in biotherapeutics manufacturing.

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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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