Data · dataset · 2026
Optimizing *CO Interaction on Cu-Fe Bimetallic Sites Synergized with Boron and Nitrogen Co-doped Graphene for Efficient CO2 Electroreduction
Listed in ScienceDB
Copper-based catalysts are at the forefront of electrochemical CO2 reduction reaction (CO2RR) research for hydrocarbon generation.
Description
A central challenge, however, lies in achieving high product selectivity, hindered by the prevalence of competing reaction pathways. Rational manipulation of active site configurations is an effective strategy for precisely tuning the binding interaction with key intermediates, thereby dictating the selectivity towards desired products.
Herein, we engineered an oxophilic Fe-modified Cu nanoparticles anchored on a boron- and nitrogen-codoped porous graphene matrix (CuFe-BNPG). It was found that the catalyst achieved a CH4 faradaic efficiency of 21.5 %, which is approximately 3.6 times that of the monometallic Cu counterpart (Cu-BNPG). Mechanistic investigations by experiments and theoretical calculations revealed that the incorporation of Fe efficiently optimized the binding interaction with *CO, orchestrating a beneficial energetic landscape for subsequent hydrogenation steps.
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Furthermore, the electron-deficient B-doped species within the BNPG substrate promoted H2O activation, enabling efficient proton transfer to adjacent CuFe sites and ultimately accelerating CH4 production. Constructing a well-defined interface between the bimetallic CuFe composites and the heteroatom-doped carbon scaffolds highlights a promising strategy for CO2 methanation.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.013sq ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Chemical engineering 69%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.013sq | 3 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4004 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |