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色谱生物分离技术和计算建模在生物治疗连续生产中的应用。

Chromatography bioseparation technologies and in-silico modelings for continuous production of biotherapeutics.

机构信息

Department of Chemical Engineering, University of Massachusetts Lowell, 1 University Ave, Lowell, MA, 01854, USA.

Department of Chemical Engineering, University of Massachusetts Lowell, 1 University Ave, Lowell, MA, 01854, USA.

出版信息

J Chromatogr A. 2020 Sep 13;1627:461376. doi: 10.1016/j.chroma.2020.461376. Epub 2020 Jun 29.

Abstract

The potential of continuous bioprocessing is hindered by the bottlenecks of chromatography processing, which continues to be executed in batch mode. Highlighting the critical drawbacks of batch chromatography, this review underscores the transition that the industry has made by implementing continuous upstream process without devising a working model for downstream chromatography operations. Even though multitude of process development initiatives have commenced, the review emphasizes the first principle models of chromatography on which these initiatives are built. Various models of continuous chromatography, which are essential, but not limited to multi-column systems, employed to congeal a unified process are reviewed. Advancements made by several mechanistic models and simulations to maximize productivity and performance are described, in an attempt to provide the integral tools. The modeling tools can be used for development of a strong model based control strategy and can be embedded into the continuous chromatography framework. The review addresses the limitations and challenges of the current modeling methods for development of robust mechanistic modeling and efficient unit operation platform in continuous chromatography.

摘要

连续生物加工的潜力受到色谱处理瓶颈的阻碍,而色谱处理仍在分批模式下进行。本综述强调了批处理色谱的关键缺点,指出了行业通过实施连续上游工艺而没有设计下游色谱操作的工作模型所发生的转变。尽管已经开展了大量的工艺开发工作,但本综述强调了这些工作所依据的色谱第一原理模型。还综述了各种连续色谱模型,这些模型是必不可少的,但不仅限于多柱系统,用于凝聚统一的工艺。描述了为最大程度提高生产力和性能而做出的几个机理模型和模拟的进展,试图提供完整的工具。这些建模工具可用于开发强大的基于模型的控制策略,并可嵌入连续色谱框架中。该综述讨论了当前建模方法在连续色谱中开发稳健的机理建模和高效单元操作平台方面的局限性和挑战。

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