Oxygen-Plasma Defect Engineering of Epitaxial Graphene on 4H-SiC for Enhanced NO <sub>2</sub> Sensing

Developing sensitive, low-power, and manufacturable NO<sub>2</sub> gas sensors is crucial for environmental and health monitoring. Epitaxial graphene on 4H-silicon carbide (Graphene@4H-SiC) is an ideal, device-ready platform, but its intrinsically inert surface limits its sensing performance. Here, we present a complete workflow that combines a scalable oxygen plasma treatment for defect engineering with the fabrication of a fully operational chemiresistive sensor device. The optimized sensor, treated at 150 W, demonstrates a nearly 8-fold response enhancement to NO<sub>2</sub> compared to its pristine counterpart. It exhibits excellent recovery and sensitive detection down to 10 ppm at a low operating temperature of 70 °C. Crucially, a synergistic approach combining extensive experimental characterization with first-principles simulations reveals the underlying mechanism. Density functional theory calculations identify carbon vacancies as overwhelmingly potent adsorption sites, with a binding energy (-7.97 eV) and charge transfer far exceeding that of pristine graphene or common oxygen functional groups. The excellent correlation between the experimental performance peak and the theoretical superiority of vacancy defects provides a validated understanding of the enhancement. This work bridges the critical gap between atomic-scale theory and practical device performance, establishing a rational design pathway for high-performance graphene sensors.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2025-12-17
DOI
https://doi.org/10.1021/acsomega.5c09420
Citations
1
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Oxygen-Plasma Defect Engineering of Epitaxial Graphene on 4H-SiC for Enhanced NO 2 Sensing

Tham Thi Nguyen, Tuan Minh Dao, Phuong T. Nguyen, Tuan Quoc Dang et al.
1 citations
ACS Omega
Graphene research and applications
0.52
article

Oxygen-Plasma Defect Engineering of Epitaxial Graphene on 4H-SiC for Enhanced NO 2 Sensing

Tham Thi Nguyen, Tuan Minh Dao, Phuong T. Nguyen, Tuan Quoc Dang, Nguyen Si Hoai Vu, Trung T. Pham, Thien H. Ngo, Xuan Thang Trinh, Tuan Anh Nguyen, L. Truong, Cuong Quoc Le, Hoai Duy Tran
article en
1 citations

Abstract

Developing sensitive, low-power, and manufacturable NO<sub>2</sub> gas sensors is crucial for environmental and health monitoring. Epitaxial graphene on 4H-silicon carbide (Graphene@4H-SiC) is an ideal, device-ready platform, but its intrinsically inert surface limits its sensing performance. Here, we present a complete workflow that combines a scalable oxygen plasma treatment for defect engineering with the fabrication of a fully operational chemiresistive sensor device. The optimized sensor, treated at 150 W, demonstrates a nearly 8-fold response enhancement to NO<sub>2</sub> compared to its pristine counterpart. It exhibits excellent recovery and sensitive detection down to 10 ppm at a low operating temperature of 70 °C. Crucially, a synergistic approach combining extensive experimental characterization with first-principles simulations reveals the underlying mechanism. Density functional theory calculations identify carbon vacancies as overwhelmingly potent adsorption sites, with a binding energy (-7.97 eV) and charge transfer far exceeding that of pristine graphene or common oxygen functional groups. The excellent correlation between the experimental performance peak and the theoretical superiority of vacancy defects provides a validated understanding of the enhancement. This work bridges the critical gap between atomic-scale theory and practical device performance, establishing a rational design pathway for high-performance graphene sensors.

ACS OmegaVol. 10(51)
University of Namur (BE), Industrial University of Ho Chi Minh City (VN), National Institute for Materials Science (JP), Saigon Technology University (VN), Vietnam Posts and Telecommunications Group (Vietnam) (VN), Democracy X (DK), Research Institute of Posts and Telecommunications (SK), Ho Chi Minh City University of Technology (VN)
Openalex Percentile: Top 29%
Graphene research and applications
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.