Three-Dimensional Graphene Hydrogel Decorated with SnO2 for High-Performance NO2 Sensing with Enhanced Immunity to Humidity
Abstract
A facile, one-step hydrothermal route was exploited to prepare SnO 2 -decorated reduced graphene oxide hydrogel (SnO 2 /RGOH) with three-dimensional (3D) porous structures for NO 2 gas detection. Various material characterizations demonstrate the effective deoxygenation of graphene oxide and in situ growth of rutile SnO 2 nanoparticles (NPs) on 3D RGOH. Compared with the pristine RGOH, the SnO 2 /RGOH displayed much lower limit of detection (LOD) and an order of magnitude higher sensitivity, revealing the distinct impact of SnO 2 NPs in improving the NO 2 -sensing properties. An exceptional low theoretical LOD of 2.8 ppb was obtained at room temperature. The p–n heterojunction formed at the interface between RGOH and SnO 2 facilitates the charge transfer, improving both the sensitivity in NO 2 detection and the conductivity of hybrid material. Considering that existing SnO 2 /RGO-based NO 2 sensors suffer from great vulnerability to humidity, here we employed integrated microheaters to effectively suppress the response to humidity, with nearly unimpaired response to NO 2, which boosted the selectivity. Notably, a flexible NO 2 sensor was constructed on a liquid crystal polymer substrate with endurance to mechanical deformation. This work indicates the feasibility of optimizing the gas-sensing performance of sensors by combining rational material hybridization, 3D structural engineering with temperature modulation.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The selectivity of the SnO2/RGOH sensor for NO2 is greatly enhanced by the increased sensitivity of the device to NO2 and the improved conductivity of the material due to the presence of the p-n junction between RGOH and SnO2.
“Moreover, as illustrated in Fig. 8a, the selectivity of the sensor for NO2 is greatly enhanced by the increased sensitivity of the device to NO2 and the improved conductivity of the material due to the presence of the p–n junction between RGOH and SnO2.”
From Functionalized Hydrogel-Based Wearable Gas and Humidity Sensors. (2023) · cites this paper as [210]
The SnO2/RGOH NO2 sensor has a theoretical detection limit of 2.8 ppm and a high sensitivity of 4.3 ppm−1 at room temperature.
“The SnO2/RGOH NO2 sensor has a very low theoretical detection limit of 2.8 ppm and a high sensitivity of 4.3 ppm−1 at room temperature.”
From Functionalized Hydrogel-Based Wearable Gas and Humidity Sensors. (2023) · cites this paper as [210]
Cites
Wu, J., Wu, Z., Han, S., Yang, B.-R., Gui, X., Tao, K., Liu, C., Miao, J., & Norford, L. K. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b17437 · Cited by 225 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Functionalized Hydrogel-Based Wearable Gas and Humidity Sensors.
Luo, Y., Li, J., Ding, Q., Wang, H., Liu, C., & Wu, J. (2023) · Nano-Micro Letters · doi:10.1007/s40820-023-01109-2 · Cited by 236 · see citing works
“To further increase the selectivity of hydrogel-based gas sensors for NO 2 , Wu et al. [210] prepared a three-dimensional graphene hydrogel modified with SnO 2 (SnO 2 /RGOH).”
BackgroundSelf-citation
- Authors
- Wu, J., Wu, Z., Ding, H., Wei, Y., Huang, W., Yang, X., Li, Z., Qiu, L., & Wang, X.
- Affiliations
- Sun Yat-sen University (CN)
- University of Science and Technology Beijing (CN)
- Beihang University (CN)
- Corresponding author
- Wu, Jin
- Qiu, Lin
- Wang, Xiaotian
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-01-02
- Volume
- 12
- Issue
- 2
- Pages
- 2634-2643
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2998564818
- Cited by
- 104
- References
- 1
- Citations by year
- 2026: 8 · 2025: 17 · 2024: 11 · 2023: 14 · 2022: 23 · 2021: 20 · 2020: 11
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- ACS Applied Materials & Interfaces (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Beijing Municipal Natural Science Foundation (3202020)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Gas Sensing Nanomaterials and Sensors
- Physical Sciences › Environmental Science › Environmental Engineering › Air Quality Monitoring and Forecasting
- Physical Sciences › Materials Science › Materials Chemistry › Catalytic Processes in Materials Science
- Keywords
- NO2 gas sensing, SnO2 nanoparticles, p-n heterojunction, temperature modulation, flexible gas sensors, liquid crystal polymer substrate, three-dimensional porous structure, room-temperature gas sensors, detection limit, gas selectivity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
