比较生物制药下游工艺中的硅学流程优化策略。

IF 2.5 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Daphne Keulen, Myrto Apostolidi, Geoffroy Geldhof, Olivier Le Bussy, Martin Pabst, Marcel Ottens
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引用次数: 0

摘要

设计生物制药下游工艺的艰巨任务首先是选择单元操作的类型,然后是优化其操作条件。对于复杂的流程优化来说,优化策略对持续时间和结果至关重要。在本研究中,我们比较了三种优化策略,即同步、从上到下和上层结构分解。此外,我们还使用色谱机理模型(MM)或人工神经网络(ANN)对所有策略进行了评估。对 39 个流程进行了整体评估,包括色谱操作之间的缓冲交换步骤。所有策略都确定了最佳的正交结构,MM 和 ANN 的加权总体性能值基本一致。就时间效率而言,在利用多处理器系统的多个内核进行模拟时,采用 MMs 的分解方法表现突出。本研究分析了不同优化策略对流程表优化的影响,并就特定情况下的合适策略和建模技术提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing in silico flowsheet optimization strategies in biopharmaceutical downstream processes.

The challenging task of designing biopharmaceutical downstream processes is initially to select the type of unit operations, followed by optimizing their operating conditions. For complex flowsheet optimizations, the strategy becomes crucial in terms of duration and outcome. In this study, we compared three optimization strategies, namely, simultaneous, top-to-bottom, and superstructure decomposition. Moreover, all strategies were evaluated by either using chromatographic Mechanistic Models (MMs) or Artificial Neural Networks (ANNs). An overall evaluation of 39 flowsheets was performed, including a buffer-exchange step between the chromatography operations. All strategies identified orthogonal structures to be optimal, and the weighted overall performance values were generally consistent between the MMs and ANNs. In terms of time-efficiency, the decomposition method with MMs stands out when utilizing multiple cores on a multiprocessing system for simulations. This study analyses the influence of different optimization strategies on flowsheet optimization and advices on suitable strategies and modeling techniques for specific scenarios.

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来源期刊
Biotechnology Progress
Biotechnology Progress 工程技术-生物工程与应用微生物
CiteScore
6.50
自引率
3.40%
发文量
83
审稿时长
4 months
期刊介绍: Biotechnology Progress , an official, bimonthly publication of the American Institute of Chemical Engineers and its technological community, the Society for Biological Engineering, features peer-reviewed research articles, reviews, and descriptions of emerging techniques for the development and design of new processes, products, and devices for the biotechnology, biopharmaceutical and bioprocess industries. Widespread interest includes application of biological and engineering principles in fields such as applied cellular physiology and metabolic engineering, biocatalysis and bioreactor design, bioseparations and downstream processing, cell culture and tissue engineering, biosensors and process control, bioinformatics and systems biology, biomaterials and artificial organs, stem cell biology and genetics, and plant biology and food science. Manuscripts concerning the design of related processes, products, or devices are also encouraged. Four types of manuscripts are printed in the Journal: Research Papers, Topical or Review Papers, Letters to the Editor, and R & D Notes.
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