Evidence map›Paper›PMID 37612275›Full record

ArticleNature communications2023

Mimicking reductive dehalogenases for efficient electrocatalytic water dechlorination.

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

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Surfactant-enhanced CuNature communications · 2025
    Article
  4. Article
  5. Article
  6. Scientometric analysis of electrocatalysis in wastewater treatment: today and tomorrow.Environmental science and pollution research international · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yuan MinDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China.
Shu-Chuan MeiDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China.
Xiao-Qiang PanDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China.
Jie-Jie ChenDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China. chenjiej@ustc.edu.cn.ORCID http://orcid.org/0000-0002-2539-8305
Han-Qing YuDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China. hqyu@ustc.edu.cn.ORCID http://orcid.org/0000-0001-5247-6244
Yujie XiongHefei National Research Center for Physical Sciences at the Microscale, Collaborative Innovative Center of Chemistry for Energy Materials (iChEM), School of Chemistry and Materials Science, University of Science and Technology of China, Hefei, Anhui, 230026, China. yjxiong@ustc.edu.cn.ORCID http://orcid.org/0000-0002-1995-8257

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22232003
6 · The paper itself

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.

Identifiers

PMID37612275
PMCPMC10447495

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.