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在线监测微量滴定板中的并行微尺度流加培养:培养基组成和补料策略对工艺设计和性能的影响。

Parallelized microscale fed-batch cultivation in online-monitored microtiter plates: implications of media composition and feed strategies for process design and performance.

机构信息

Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.

Institute of Biotechnology, RWTH Aachen University, Aachen, Germany.

出版信息

J Ind Microbiol Biotechnol. 2020 Jan;47(1):35-47. doi: 10.1007/s10295-019-02243-w. Epub 2019 Oct 31.

Abstract

Limited throughput represents a substantial drawback during bioprocess development. In recent years, several commercial microbioreactor systems have emerged featuring parallelized experimentation with optical monitoring. However, many devices remain limited to batch mode and do not represent the fed-batch strategy typically applied on an industrial scale. A workflow for 32-fold parallelized microscale cultivation of protein secreting Corynebacterium glutamicum in microtiter plates incorporating online monitoring, pH control and feeding was developed and validated. Critical interference of the essential media component protocatechuic acid with pH measurement was revealed, but was effectively resolved by 80% concentration reduction without affecting biological performance. Microfluidic pH control and feeding (pulsed, constant and exponential) were successfully implemented: Whereas pH control improved performance only slightly, feeding revealed a much higher optimization potential. Exponential feeding with µ = 0.1 h resulted in the highest product titers. In contrast, other performance indicators such as biomass-specific or volumetric productivity resulted in different optimal feeding regimes.

摘要

在生物工艺开发过程中,有限的通量是一个很大的缺点。近年来,已经出现了几种具有光学监测平行实验功能的商业微生物反应器系统。然而,许多设备仍然仅限于分批模式,无法代表工业规模上通常应用的补料分批策略。开发并验证了一种在微孔板中 32 倍平行培养分泌蛋白谷氨酸棒杆菌的工作流程,该流程包括在线监测、pH 值控制和补料。揭示了基本培养基成分原儿茶酸对 pH 值测量的关键干扰,但通过 80%的浓度降低有效地解决了这一问题,而不会影响生物性能。微流控 pH 值控制和补料(脉冲式、恒定量和指数式)得以成功实施:虽然 pH 值控制仅略微提高了性能,但补料显示出了更高的优化潜力。µ=0.1 h 的指数式补料可获得最高的产物滴度。相比之下,其他性能指标,如生物质特异性或体积产率,则产生了不同的最佳补料方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abbd/6971147/5258036d93c4/10295_2019_2243_Fig1_HTML.jpg

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