Evidence map›Paper›PMID 41438286›Full record

ReviewChemical science2026

Enabling plasmon-assisted ammonia synthesis: from mechanistic insights to catalyst design.

Wen-Qian Li, Miao Xu, Gang Chen, Xiaoping Chen, Jie-Sheng Chen, Tian-Nan Ye

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wen-Qian LiFrontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University Shanghai 200240 China ytn2011@sjtu.edu.cn.
Miao XuState Key Laboratory of Space Power-Sources Technology, Shanghai Institute of Space Power-Sources Shanghai 200245 China.
Gang ChenInstitute of Energy Research, Jiangxi Academy of Sciences Nanchang 330096 China cxpjxskxy@126.com.
Xiaoping ChenInstitute of Energy Research, Jiangxi Academy of Sciences Nanchang 330096 China cxpjxskxy@126.com.ORCID https://orcid.org/0000-0002-9391-4412
Jie-Sheng ChenFrontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University Shanghai 200240 China ytn2011@sjtu.edu.cn.ORCID https://orcid.org/0000-0003-1233-7746
Tian-Nan YeFrontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University Shanghai 200240 China ytn2011@sjtu.edu.cn.ORCID https://orcid.org/0000-0001-9039-8232

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ammonia is an important component in the manufacture of fertilizers and various chemicals, and its production mainly relies on the energy-intensive Haber-Bosch process. To overcome this, there has been growing interest in using photocatalysis as an alternative approach for ammonia synthesis under ambient conditions. Plasmonic nanomaterials have been considered to be particularly promising due to their localized surface plasmon resonance (LSPR) effects that combine the advantages of photochemical and thermal properties in one system. This review introduces the fundamental principles of LSPR effects, including hot carrier injection, photoheating and near-field enhancement. It then undertakes a comprehensive analysis of the current state-of-the-art catalysts for plasmon-driven photocatalytic ammonia synthesis. Finally, it proposes a brief outlook on the strategies for the design of plasmonic photocatalysts, advances in

Identifiers

PMID41438286
PMCPMC12720022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.