Molecularly Tailored Carbon Quantum Dots Enable Enhanced C─C Coupling in CO <sub>2</sub> Electroreduction
Abstract Selective electroreduction of CO 2 to multi‐carbon products remains a major challenge due to competing hydrogen evolution, weak * CO stabilization, and intrinsic scaling relationships in conventional catalysts. Herein, a quantum dot‐enabled tandem catalyst is introduced, with Cu nanoparticles anchored onto cyano‐functionalized carbon quantum dots (Cu‐CQDs‐CN). Unlike traditional cyano‐modified Cu catalysts, CQDs serve as molecular carriers, enabling precise functionalization, interfacial electric field modulation, and regulated supply of surface * H. This molecular‐level engineering enhances * CO stabilization, promotes * CO─ * CHO coupling, and suppresses hydrogen evolution, thereby driving efficient C 2 H 4 formation. Such Cu‐CQDs‐CN catalyst achieves a Faradaic efficiency of ≈61% for ethylene at a high current density (≈574 mA cm −2 ). Operando spectroscopic analyses and density functional theory calculations reveal that CN functionalization on CQDs optimizes local proton availability and strengthens * CO adsorption, enabling preferential ethylene production. This work establishes a new paradigm of quantum dot‐enabled interfacial engineering for selective CO 2 conversion and offers a generalizable strategy for molecular‐level catalyst design.
Authors
- Peng Zhang (ORCID: https://orcid.org/0000-0002-0620-7673)
- Joseph S. Francisco (ORCID: https://orcid.org/0000-0002-5461-1486)
- Shuai Fu (ORCID: https://orcid.org/0000-0003-4038-2384)
- Jiye Zhang (ORCID: https://orcid.org/0000-0001-9359-6701)
- Caihong Liang
- Huazhang Guo (ORCID: https://orcid.org/0000-0001-8232-8031)
- Yong Li (ORCID: https://orcid.org/0000-0003-3701-3342)
- Kang Wang (ORCID: https://orcid.org/0000-0003-1011-7977)
- Wenhui Liu (ORCID: https://orcid.org/0009-0000-7584-111X)
- Liang Frank Wang (ORCID: https://orcid.org/0000-0002-3771-4627)
Institutions
- Shanghai University (CN)
- Chinese Academy of Sciences (CN)
- State Key Joint Laboratory of Environment Simulation and Pollution Control (CN)
- Research Center for Eco-Environmental Sciences (CN)
- University of Pennsylvania (US)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2025-12-05
- DOI
- https://doi.org/10.1002/adfm.202530561
- Citations
- 1
- Primary Topic
- CO2 Reduction Techniques and Catalysts
- Type
- article
- Field-Weighted Citation Impact
- 0.36