生物过程
生物制造
人口
生产(经济)
原材料
发酵
食品科学
化学
生化工程
制浆造纸工业
生物技术
化学工程
生物
有机化学
工程类
人口学
宏观经济学
社会学
经济
作者
Stefano Cestellos-Blanco,Skyler Friedline,Kyle B. Sander,Anthony J. Abel,Ji Min Kim,Douglas S. Clark,Adam P. Arkin,Peidong Yang
标识
DOI:10.3389/fmicb.2021.700010
摘要
Providing life-support materials to crewed space exploration missions is pivotal for mission success. However, as missions become more distant and extensive, obtaining these materials from in situ resource utilization is paramount. The combination of microorganisms with electrochemical technologies offers a platform for the production of critical chemicals and materials from CO 2 and H 2 O, two compounds accessible on a target destination like Mars. One such potential commodity is poly(3-hydroxybutyrate) (PHB), a common biopolyester targeted for additive manufacturing of durable goods. Here, we present an integrated two-module process for the production of PHB from CO 2 . An autotrophic Sporomusa ovata (S. ovata) process converts CO 2 to acetate which is then directly used as the primary carbon source for aerobic PHB production by Cupriavidus basilensis (C. basilensis) . The S. ovata uses H 2 as a reducing equivalent to be generated through electrocatalytic solar-driven H 2 O reduction. Conserving and recycling media components is critical, therefore we have designed and optimized our process to require no purification or filtering of the cell culture media between microbial production steps which could result in up to 98% weight savings. By inspecting cell population dynamics during culturing we determined that C. basilensis suitably proliferates in the presence of inactive S. ovata . During the bioprocess 10.4 mmol acetate L –1 day –1 were generated from CO 2 by S. ovata in the optimized media. Subsequently, 12.54 mg PHB L –1 hour –1 were produced by C. basilensis in the unprocessed media with an overall carbon yield of 11.06% from acetate. In order to illustrate a pathway to increase overall productivity and enable scaling of our bench-top process, we developed a model indicating key process parameters to optimize.
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