Evidence map›Paper›PMID 41409423›Full record

ReviewChemical science2026

Cross-scale understanding of cascade electrocatalysis for carbon and nitrogen utilization.

Shiping Li, Youyu Pang, Hongmei Li, Rui Yang, Zhaoyu Jin, Guihua Yu, Panpan Li

Abstract readReview
In one paragraph

Review in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors.

Shiping LiCollege of Materials Science and Engineering, Sichuan University Chengdu 610065 China panpanli@scu.edu.cn.
Youyu PangCollege of Materials Science and Engineering, Sichuan University Chengdu 610065 China panpanli@scu.edu.cn.
Hongmei LiCollege of Materials Science and Engineering, Sichuan University Chengdu 610065 China panpanli@scu.edu.cn.
Rui YangInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China Chengdu 611731 China.
Zhaoyu JinInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China Chengdu 611731 China.ORCID https://orcid.org/0000-0003-0840-3931
Guihua YuMaterials Science and Engineering Program, Walker Department of Mechanical Engineering, The University of Texas at Austin Austin Texas 78712 USA ghyu@austin.utexas.edu.ORCID https://orcid.org/0000-0002-3253-0749
Panpan LiCollege of Materials Science and Engineering, Sichuan University Chengdu 610065 China panpanli@scu.edu.cn.ORCID https://orcid.org/0000-0001-9933-0357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cascade electrocatalysis is increasingly being recognized as a promising approach for achieving efficient and selective conversion of carbon and nitrogen resources, in response to critical challenges in energy sustainability and environmental management. Compared to conventional single-site systems, cascade pathways are designed to enable spatial and temporal coordination of multiple reaction steps, through which the generation, migration, and transformation of key intermediates can be precisely controlled. In this review, a multiscale perspective is provided, spanning atomic, sub-nanoscale, nanoscale, and macroscopic dimensions. Recent progress is summarized in several representative strategies, including the use of multiple active sites for relay catalysis, the engineering of crystal facets and heterointerfaces, the application of nanoconfinement, and the implementation of tandem reactor systems. Particular emphasis is placed on their applications in CO

Identifiers

PMID41409423
PMCPMC12706651

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.