Microbial electrosynthesis for CO2 utilization (MESCU) producing valuable chemicals with high energy density has garnered attention due to its long-term stability and high coulombic efficiency. The data-driven approaches offer a promising avenue by leveraging existing data to uncover the underlying patterns. This comprehensive review firstly uncovered the potentials of utilizing data-driven approaches to enhance high-value conversion of CO2 via MESCU. Firstly, critical challenges of MESCU advancing have been identified, including reactor configuration, cathode design, and microbial analysis. Subsequently, the potential of data-driven approaches to tackle the corresponding challenges, encompassing the identification of pivotal parameters governing reactor setup and cathode design, alongside the decipheration of omics data derived from microbial communities, have been discussed. Correspondingly, the future direction of data-driven approaches in assisting the application of MESCU has been addressed. This review offers guidance and theoretical support for future data-driven applications to accelerate MESCU research and potential industrialization.

中文翻译：

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通过数据驱动的方法加速微生物电合成系统中二氧化碳高值转化的潜力和挑战


用于二氧化碳利用的微生物电合成（MESCU）可生产具有高能量密度的有价值的化学品，由于其长期稳定性和高库仑效率而受到关注。数据驱动的方法通过利用现有数据来揭示潜在模式，提供了一条有前途的途径。这项全面的审查首先揭示了利用数据驱动的方法通过 MESCU 增强二氧化碳高价值转化的潜力。首先，确定了 MESCU 推进的关键挑战，包括反应器配置、阴极设计和微生物分析。随后，讨论了数据驱动方法应对相应挑战的潜力，包括确定控制反应器设置和阴极设计的关键参数，以及解读来自微生物群落的组学数据。相应地，提出了数据驱动方法辅助MESCU应用的未来方向。该综述为未来的数据驱动应用提供了指导和理论支持，以加速 MESCU 研究和潜在的产业化。