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Chromatography bioseparation technologies and in-silico modelings for continuous production of biotherapeutics.
Journal of Chromatography A ( IF 3.8 ) Pub Date : 2020-06-29 , DOI: 10.1016/j.chroma.2020.461376
Ketki Behere 1 , Seongkyu Yoon 1
Affiliation  

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.



中文翻译:

色谱生物分离技术和计算机模拟用于连续生产生物治疗药物。

色谱处理的瓶颈阻碍了连续生物处理的潜力,色谱处理的瓶颈继续以批处理模式执行。强调批处理色谱法的关键弊端,该评论强调了业界通过实施连续的上游工艺而没有为下游色谱法操作设计工作模型而实现的过渡。尽管已经开始了许多工艺开发计划,但本次审查强调了建立这些计划的色谱的第一个原理模型。回顾了各种连续色谱模型,这些模型对于凝结统一的过程至关重要,但不限于多柱系统。描述了几种机械模型和模拟在最大程度提高生产率和性能方面所取得的进步,试图提供完整的工具。建模工具可用于开发基于强大模型的控制策略,并可嵌入到连续色谱框架中。审查解决了目前的建模方法的局限性和挑战,这些方法在连续色谱法中开发鲁棒的机械建模和高效的单元操作平台。

更新日期:2020-07-13
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