Center of Environment, Climate Change and Public Health, Utkal University, Vani Vihar, Bhubaneswar, Odisha 751004, India; Biological and Ecological Engineering Department, Oregon State University (OSU), Corvallis, OR, USA.
Department of Biology, RRS815, Hong Kong Baptist University, Kowloon Tong, Hong Kong.
Trends Biotechnol. 2022 May;40(5):535-538. doi: 10.1016/j.tibtech.2021.11.005. Epub 2021 Dec 7.
Bioelectrochemical systems (BESs) are highly evolved and sophisticated systems that produce bioenergy via exoelectrogenic microbes. Artificial intelligence (AI) helps to understand, relate, model, and predict both process parameters and microbial diversity, resulting in higher performance. This approach has revolutionized BESs through highly advanced computational algorithms that best suit the systems' architecture.
生物电化学系统(BESs)是通过放电子微生物产生生物能的高度进化和复杂的系统。人工智能(AI)有助于理解、关联、建模和预测工艺参数和微生物多样性,从而提高性能。这种方法通过高度先进的计算算法彻底改变了 BESs,这些算法最适合系统的架构。