Evidence map›Paper›PMID 39373360›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Precise Electrocatalysis on Fe-Porphyrin Conjugated Networks Achieves Energy-Efficient Extraction of Uranium.

Wenwen Wang, Meiyun Xu, Haotian Wu, Yan Song, Peng Liu, Haisheng Yu, Linjuan Zhang, Shusen Chen, Daoben Hua

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

9 authors.

Wenwen WangState Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, 215123, China.
Meiyun XuState Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, 215123, China.
Haotian WuBeijing Research Institute of Chemical Engineering and Metallurgy, CNNC Key Laboratory on Uranium Extraction from Seawater, China National Nuclear Corporation, Beijing, 101149, China.
Yan SongBeijing Research Institute of Chemical Engineering and Metallurgy, CNNC Key Laboratory on Uranium Extraction from Seawater, China National Nuclear Corporation, Beijing, 101149, China.
Peng LiuState Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, 215123, China.
Haisheng YuKey Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, 201800, China.
Linjuan ZhangKey Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, 201800, China.
Shusen ChenBeijing Research Institute of Chemical Engineering and Metallurgy, CNNC Key Laboratory on Uranium Extraction from Seawater, China National Nuclear Corporation, Beijing, 101149, China.
Daoben HuaState Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, 215123, China.ORCID https://orcid.org/0000-0003-1813-6988

Funding

CNNC Key Laboratory on Uranium Extraction from Seawater KLUES202203Innovation Development Fund of China Seawater Uranium Extraction Technology Innovation Alliance CNNC-CXLM-202201National Natural Science Foundation of China 22176138National Natural Science Foundation of China 22276129Priority Academic Program Development of Jiangsu Higher Education Institutions
6 · The paper itself

Abstract

Electrochemical extraction has the potential to enhance uranium (U) extraction capacity and rates, but thus far, high selectivity and energy efficiency have not been achieved through the design of electrode materials. Herein, a precise electrocatalysis strategy is developed using a Ferrum (Fe) porphyrin-phenanthroline conjugated network (Fe@PDACN) for energy-efficient uranium extraction. The phenanthroline provides specific binding sites for selective enrichment of U(VI) at active sites (K

Indexed as

electrocatalysisfaraday efficiencyFe‐porphyrin conjugated networkpre‐storing electronsuranium extraction

Identifiers

PMID39373360
PMCPMC11600223

What OpenQuestion holds

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Registered trials

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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.