Spontaneous Galvanic Electron Injection for Programmable Functionalization and Patterning of Monolayer Graphene
Achieving high-dose, spatially programmable covalent functionalization of monolayer graphene has so far relied on externally powered activation─imposed electrochemical bias, highly reducing alkali metals, or laser/plasma inputs─approaches that are often aggressive and tie chemical dose to hardware-defined fields, limiting orthogonal control. Here, we introduce galvanic electron injection (GEI), a self-powered strategy that leverages the spontaneous interfacial potential at a metal–graphene junction to achieve programmable covalent functionalization under ambient conditions. The process is governed by a predictive “metal/reagent potential” matching rule: metals such as Ag, Cu, and Mg readily activate graphene for C–C bond formation with aryl diazonium salts within one second (Raman I D / I G up to ≈3). The same framework extends to more challenging alkyl iodides through minimal external compensation or by using stronger reductants (Na, K). Chemical dose is orthogonally programmed by metal/reagent choice (thermodynamics), reaction time (kinetics), and oxygen content. Notably, oxygen tunes grafting density from an I D / I G of ∼0.5 (at 0% O 2 ) to ∼3.0 (at 20% O 2 ) via an oxygen-assisted injection mechanism. Integrating GEI with photolithography converts metal features into dual-role “mask-plus-injectors”, enabling self-aligned chemical writing with ∼1 μm resolution. These results demonstrate that GEI enables contact-mediated, spatially controlled graphene functionalization under mild conditions.
Authors
- Guanglin Huang (ORCID: https://orcid.org/0000-0002-0773-394X)
- Lipiao Bao (ORCID: https://orcid.org/0000-0002-6308-1181)
- Chun‐Yao Huang (ORCID: https://orcid.org/0000-0002-8978-7879)
- Kun Guo (ORCID: https://orcid.org/0000-0002-4822-5984)
- Yisheng Wei
- Huayue Su
- Xin Yuan
Institutions
- Advanced Processing Technology (United States) (US)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- ACS Nano
- Published
- 2026-06-25
- DOI
- https://doi.org/10.1021/acsnano.6c05648
- Primary Topic
- Graphene research and applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Hainan Provincial Department of Science and Technology