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在反向微生物燃料电池中模拟生物电合成以从二氧化碳和水生产乙酸盐。

Modelling bio-electrosynthesis in a reverse microbial fuel cell to produce acetate from CO2 and H2O.

作者信息

Kazemi M, Biria D, Rismani-Yazdi H

机构信息

Department of Biotechnology, Faculty of Advanced Sciences and Technologies, University of Isfahan, Isfahan, Iran.

出版信息

Phys Chem Chem Phys. 2015 May 21;17(19):12561-74. doi: 10.1039/c5cp00904a.

Abstract

Bio-electrosynthesis is one of the significant developments in reverse microbial fuel cell technology which is potentially capable of creating organic compounds by combining CO2 with H2O. Accordingly, the main objective in the current study was to present a model of microbial electrosynthesis for producing organic compounds (acetate) based on direct conduction of electrons in biofilms. The proposed model enjoys a high degree of rigor because it can predict variations in the substrate concentration, electrical potential, current density and the thickness of the biofilm. Additionally, coulombic efficiency was investigated as a function of substrate concentration and cathode potential. For a system containing CO2 as the substrate and Sporomusa ovata as the biofilm forming microorganism, an increase in the substrate concentration at a constant potential can lead to a decrease in coulombic efficiency as well as an increase in current density and biofilm thickness. On the other hand, an increase in the surface cathodic voltage at a constant substrate concentration may result in an increase in the coulombic efficiency and a decrease in the current density. The maximum coulombic efficiency was revealed to be 75% at a substrate concentration of 0.025 mmol cm(-3) and 55% at a surface cathodic voltage of -0.3 V producing a high range of acetate production by creating an optimal state in the concentration and potential intervals. Finally, the validity of the model was verified by comparing the obtained results with related experimental findings.

摘要

生物电合成是反向微生物燃料电池技术的重大进展之一,它有可能通过将二氧化碳与水结合来生成有机化合物。因此,本研究的主要目的是提出一种基于生物膜中电子直接传导来生产有机化合物(乙酸盐)的微生物电合成模型。所提出的模型具有高度的严谨性,因为它可以预测底物浓度、电势、电流密度和生物膜厚度的变化。此外,还研究了库仑效率与底物浓度和阴极电势的函数关系。对于一个以二氧化碳为底物、卵形芽孢杆菌为形成生物膜的微生物的系统,在恒定电势下底物浓度的增加会导致库仑效率降低,以及电流密度和生物膜厚度增加。另一方面,在恒定底物浓度下表面阴极电压的增加可能会导致库仑效率增加和电流密度降低。在底物浓度为0.025 mmol cm(-3)时,最大库仑效率为75%;在表面阴极电压为-0.3 V时,最大库仑效率为55%,通过在浓度和电势区间创造最佳状态,实现了较高的乙酸盐产量。最后,通过将所得结果与相关实验结果进行比较,验证了该模型的有效性。

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