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用于解析和控制混合培养过程种群动态的测量技术。

Measurement Techniques to Resolve and Control Population Dynamics of Mixed-Culture Processes.

机构信息

Leibniz Institute for Natural Product Research and Infection Biology, Hans-Knöll-Institute, Adolf-Reichwein-Str. 23, 07745 Jena, Germany; Faculty for Biological Sciences, Friedrich-Schiller-University Jena, Bachstrasse 18K, 07743 Jena, Germany.

Multiscale Bioengineering, Faculty of Technology, Bielefeld University, Universitätsstraße 25, 33615 Bielefeld, Germany.

出版信息

Trends Biotechnol. 2021 Oct;39(10):1093-1109. doi: 10.1016/j.tibtech.2021.01.006. Epub 2021 Feb 8.

Abstract

Microbial mixed cultures are gaining increasing attention as biotechnological production systems, since they offer a large but untapped potential for future bioprocesses. Effects of secondary metabolite induction and advantages of labor division for the degradation of complex substrates offer new possibilities for process intensification. However, mixed cultures are highly complex, and, consequently, many biotic and abiotic parameters are required to be identified, characterized, and ideally controlled to establish a stable bioprocess. In this review, we discuss the advantages and disadvantages of existing measurement techniques for identifying, characterizing, monitoring, and controlling mixed cultures and highlight promising examples. Moreover, existing challenges and emerging technologies are discussed, which lay the foundation for novel analytical workflows to monitor mixed-culture bioprocesses.

摘要

微生物混合培养物作为生物技术生产系统越来越受到关注,因为它们为未来的生物过程提供了巨大但未开发的潜力。次生代谢物诱导的影响和复杂底物降解的分工优势为过程强化提供了新的可能性。然而,混合培养物非常复杂,因此需要识别、表征和理想控制许多生物和非生物参数,以建立稳定的生物过程。在这篇综述中,我们讨论了现有的用于识别、表征、监测和控制混合培养物的测量技术的优缺点,并强调了有前途的实例。此外,还讨论了现有的挑战和新兴技术,为监测混合培养生物过程的新分析工作流程奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc06/7612867/b3673c52453e/EMS145629-f004.jpg

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