Department of Biotechnology, Faculty of Chemical Engineering, Tarbiat Modares University, P.O. Box 14115-143, Tehran, Iran.
Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
Sci Rep. 2021 Jun 10;11(1):12294. doi: 10.1038/s41598-021-91906-9.
Bio-photovoltaic devices (BPVs) harness photosynthetic organisms to produce bioelectricity in an eco-friendly way. However, their low energy efficiency is still a challenge. A comprehension of metabolic constraints can result in finding strategies for efficiency enhancement. This study presents a systemic approach based on metabolic modeling to design a regulatory defined medium, reducing the intracellular constraints in bioelectricity generation of Synechocystis sp. PCC6803 through the cellular metabolism alteration. The approach identified key reactions that played a critical role in improving electricity generation in Synechocystis sp. PCC6803 by comparing multiple optimal solutions of minimal and maximal NADH generation using two criteria. Regulatory compounds, which controlled the enzyme activity of the key reactions, were obtained from the BRENDA database. The selected compounds were subsequently added to the culture media, and their effect on bioelectricity generation was experimentally assessed. The power density curves for different culture media showed the BPV fed by Synechocystis sp. PCC6803 suspension in BG-11 supplemented with NHCl achieved the maximum power density of 148.27 mW m. This produced power density was more than 40.5-fold of what was obtained for the BPV fed with cyanobacterial suspension in BG-11. The effect of the activators on BPV performance was also evaluated by comparing their overpotential, maximum produced power density, and biofilm morphology under different conditions. These findings demonstrated the crucial role of cellular metabolism in improving bioelectricity generation in BPVs.
生物光伏器件 (BPVs) 利用光合作用生物以环保的方式产生生物电能。然而,它们的能量效率仍然很低,这是一个挑战。对代谢限制的理解可以导致寻找提高效率的策略。本研究提出了一种基于代谢建模的系统方法来设计一种规定性定义的培养基,通过改变细胞代谢来减少 Synechocystis sp. PCC6803 生物电能产生中的细胞内限制。该方法通过比较使用两个标准的最小和最大 NADH 生成的多个最优解,确定了关键反应,这些关键反应在提高 Synechocystis sp. PCC6803 的发电能力方面发挥了关键作用。控制关键反应酶活性的调节化合物是从 BRENDA 数据库中获得的。随后将选定的化合物添加到培养基中,并通过实验评估它们对生物电能产生的影响。不同培养基的功率密度曲线表明,用 BG-11 补充 NHCl 的 Synechocystis sp. PCC6803 悬浮液喂养的 BPV 达到了 148.27 mW m 的最大功率密度。这比用 BG-11 中的蓝细菌悬浮液喂养的 BPV 获得的功率密度高出 40.5 倍。通过比较不同条件下的超电势、最大产生功率密度和生物膜形态,还评估了激活剂对 BPV 性能的影响。这些发现证明了细胞代谢在提高 BPVs 生物电能产生中的关键作用。