Evidence map›Paper›PMID 41183075›Full record

ArticleChemSusChem2025

Nanoscale Copper-Tin Dioxide Interfaces for Efficient CO

Lan Huang, Felicia Di Costola, Marco Allione, Stefano Bianco, Adriano Sacco, Candido F Pirri, Juqin Zeng

Abstract read
In one paragraph

Article in ChemSusChem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. High-Current-Density Acidic COAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. 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

7 authors.

Lan HuangCentre for Sustainable Future Technologies (CSFT), Istituto Italiano di Tecnologia - IIT, Via Livorno 60, 10144, Turin, Italy.ORCID https://orcid.org/0009-0009-4300-8786
Felicia Di CostolaCentre for Sustainable Future Technologies (CSFT), Istituto Italiano di Tecnologia - IIT, Via Livorno 60, 10144, Turin, Italy.
Marco AllioneDepartment of Applied Science and Technology (DISAT), Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy.
Stefano BiancoDepartment of Applied Science and Technology (DISAT), Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy.
Adriano SaccoCentre for Sustainable Future Technologies (CSFT), Istituto Italiano di Tecnologia - IIT, Via Livorno 60, 10144, Turin, Italy.
Candido F PirriCentre for Sustainable Future Technologies (CSFT), Istituto Italiano di Tecnologia - IIT, Via Livorno 60, 10144, Turin, Italy.
Juqin ZengCentre for Sustainable Future Technologies (CSFT), Istituto Italiano di Tecnologia - IIT, Via Livorno 60, 10144, Turin, Italy.ORCID https://orcid.org/0000-0001-8885-020X

Funding

EU's Horizon 2021 101072830National Recovery and Resilience Plan (NRRP) of Italian Ministry of Research Project code: IR0000027, CUP: B33C22000710006, Project title: iENTRANCE
6 · The paper itself

Abstract

This study reports highly selective and stable electrocatalysts consisting of Cu and Sn for efficient reduction of CO

Indexed as

bimetallic electrocatalystscarbon dioxide conversionformic acidmicrowave‐assisted synthesisselectivity

Identifiers

PMID41183075
PMCPMC12703421

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.