Extracellular electron transfer-dependent bioremediation of uranium-contaminated groundwater: Advancements and challenges

•Extracellar electron tranfer dependent bioreduction of U(VI) is promising.•Key processes and factors influencing effectiveness of DMRB are summerized.•Extracellar electron tranfer (EET) mechanisms are critically examined.•Advanced strategies like ML are discussed as tools to enhance EET-driven proc...

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Veröffentlicht in:Water research (Oxford) 2025-03, Vol.272, p.122957, Article 122957
Hauptverfasser: Li, Zhi-Ling, Li, Sheng-Fang, Zhang, Zi-Meng, Chen, Xue-Qi, Li, Xi-Qi, Zu, Yun-Xia, Chen, Fan, Wang, Ai-Jie
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Sprache:eng
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Zusammenfassung:•Extracellar electron tranfer dependent bioreduction of U(VI) is promising.•Key processes and factors influencing effectiveness of DMRB are summerized.•Extracellar electron tranfer (EET) mechanisms are critically examined.•Advanced strategies like ML are discussed as tools to enhance EET-driven processes.•Integration of EET mechanism into practical engineering applications are considered. Efficient and sustainable remediation of uranium-contaminated groundwater is critical for groundwater safety and the sustainable development of nuclear energy, particularly in the context of global carbon neutrality goals. This review explores the potential of microbial reduction processes that utilize extracellular electron transfer (EET) to convert soluble uranium (U(VI)) into its insoluble form (U(IV)), presenting a promising approach to groundwater remediation. The review first outlines the key processes and factors influencing the effectiveness of dissimilatory metal-reducing bacteria (DMRB), such as Geobacter and Shewanella, during uranium bioremediation and recovery. The cutting-edge progress on the molecular mechanism of EET-driven U(VI) reduction mediated by c-type cytochromes, conductive pili, and electron mediators, is critically reviewed. Additionally, advanced strategies such as optimizing electron transfer, leveraging synthetic biology approach, and integration with machine learning are discussed to enhance the efficiency of EET-driven processes. The review also considers the integration of EET processes into practical engineering applications, highlighting the need for optimization and innovation in bioremediation technologies. By providing a comprehensive overview of current progress and challenges, this review aims to inspire novel research and practical advancements in the field of uranium-contaminated groundwater remediation. [Display omitted]
ISSN:0043-1354
1879-2448
1879-2448
DOI:10.1016/j.watres.2024.122957