Nature Communications (Aug 2023)

Mimicking reductive dehalogenases for efficient electrocatalytic water dechlorination

  • Yuan Min,
  • Shu-Chuan Mei,
  • Xiao-Qiang Pan,
  • Jie-Jie Chen,
  • Han-Qing Yu,
  • Yujie Xiong

DOI
https://doi.org/10.1038/s41467-023-40906-6
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 10

Abstract

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Abstract Electrochemical technology is a robust approach to removing toxic and persistent chlorinated organic pollutants from water; however, it remains a challenge to design electrocatalysts with high activity and selectivity as elaborately as natural reductive dehalogenases. Here we report the design of high-performance electrocatalysts toward water dechlorination by mimicking the binding pocket configuration and catalytic center of reductive dehalogenases. Specifically, our designed electrocatalyst is an assembled heterostructure by sandwiching a molecular catalyst into the interlayers of two-dimensional graphene oxide. The electrocatalyst exhibits excellent dechlorination performance, which enhances reduction of intermediate dichloroacetic acid by 7.8 folds against that without sandwich configuration and can selectively generate monochloro-groups from trichloro-groups. Molecular simulations suggest that the sandwiched inner space plays an essential role in tuning solvation shell, altering protonation state and facilitating carbon−chlorine bond cleavage. This work demonstrates the concept of mimicking natural reductive dehalogenases toward the sustainable treatment of organohalogen-contaminated water and wastewater.