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利用反应器微生物组进行链延伸:开放式培养生物技术生产生物化学品。

Chain Elongation with Reactor Microbiomes: Open-Culture Biotechnology To Produce Biochemicals.

机构信息

Department of Biological and Environmental Engineering, Cornell University , 226 Riley-Robb Hall, Ithaca, New York 14853, United States.

Laboratorium für Mikrobiologie, Fachbereich Biologie and SYNMIKRO, Philipps-Universität , 35032 Marburg, Germany.

出版信息

Environ Sci Technol. 2016 Mar 15;50(6):2796-810. doi: 10.1021/acs.est.5b04847. Epub 2016 Feb 25.

Abstract

Chain elongation into medium-chain carboxylates, such as n-caproate and n-caprylate, with ethanol as an electron donor and with open cultures of microbial consortia (i.e., reactor microbiomes) under anaerobic conditions is being developed as a biotechnological production platform. The goal is to use the high thermodynamic efficiency of anaerobic fermentation to convert organic biomass or organic wastes into valuable biochemicals that can be extracted. Several liter-scale studies have been completed and a first pilot-plant study is underway. However, the underlying microbial pathways are not always well understood. In addition, an interdisciplinary approach with knowledge from fields ranging from microbiology and chemical separations to biochemistry and environmental engineering is required. To bring together research from different fields, we reviewed the literature starting with the microbiology and ending with the bioprocess engineering studies that already have been performed. Because understanding the microbial pathways is so important to predict and steer performance, we delved into a stoichiometric and thermodynamic model that sheds light on the effect of substrate ratios and environmental conditions on product formation. Finally, we ended with an outlook.

摘要

正在开发一种生物技术生产平台,利用乙醇作为电子供体,在厌氧条件下对微生物群落(即反应堆微生物组)进行开放式培养,将链延长为中链羧酸酯,如己酸和辛酸。目标是利用厌氧发酵的高热力学效率,将有机生物质或有机废物转化为有价值的生化物质,可以进行提取。已经完成了几项升规模的研究,并且正在进行第一个中试工厂研究。然而,基础微生物途径并不总是被很好地理解。此外,需要从微生物学和化学分离等领域到生物化学和环境工程的跨学科方法。为了汇集来自不同领域的研究,我们从微生物学文献综述开始,最后是已经完成的生物过程工程研究。因为了解微生物途径对于预测和控制性能非常重要,所以我们深入研究了一个化学计量和热力学模型,该模型揭示了底物比和环境条件对产物形成的影响。最后,我们展望了未来。

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