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利用动态通量平衡分析构建甲烷生物转化为聚羟基丁酸的生长阶段动态模型。

A dynamic model of growth phase of bio-conversion of methane to polyhydroxybutyrate using dynamic flux balance analysis.

机构信息

Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.

Faculty of Life Sciences, Division of Molecular Systems Biology, University of Vienna, Djerassiplatz 1, 1030, Vienna, Austria.

出版信息

Bioprocess Biosyst Eng. 2024 Apr;47(4):463-474. doi: 10.1007/s00449-024-02966-w. Epub 2024 Mar 16.

Abstract

Biological conversion of waste methane to biodegradable plastics is a way of reducing their production cost. This study addresses the computational modeling of the growth phase reactor of the process of polyhydroxybutyrate production. The model was used for investigating the effect of gas recycling and inlet gas retention time on the reactor performance. The model was run by the use of a genome-scale metabolic network of Methylocystis hirsuta in a dynamic flux balance analysis framework. The reactor has been modeled for two separate feeding scenarios: a pure methane feed and a biogas feed. The mass transfer coefficient parameter was predicted as a function of superficial gas velocities by the regression of data from published experiments. The results show an increase of removal efficiency by 38% and biomass concentration by 2.8 g/L with the increase of gas recycle ratio from 0 to 30 at the empty bed residence time of 60  .

摘要

将废甲烷生物转化为可生物降解塑料是降低其生产成本的一种方法。本研究针对聚羟基丁酸酯生产过程的生长阶段反应器的计算建模。该模型用于研究气体再循环和入口气体保留时间对反应器性能的影响。该模型通过在动态通量平衡分析框架中使用 Methylocystis hirsuta 的基因组规模代谢网络进行运行。该反应器已经针对两种单独的进料情况进行了建模:纯甲烷进料和沼气进料。通过回归发表实验的数据,预测了传质系数参数作为表观气体速度的函数。结果表明,在空床停留时间为 60 的情况下,气体循环比从 0 增加到 30 时,去除效率提高了 38%,生物量浓度增加了 2.8g/L。

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