The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Graphene Oxide as a Practical Solution to High Sensitivity Gas Sensing
Open accessAbstract
Graphene and its related materials have attracted much interest in sensing applications because of their optimized ratio between active surface and bulk volume. In particular, several forms of oxidized graphene have been studied to optimize the sensing efficiency, sometimes moving away from practical solutions to boost performance. In this paper, we propose a practical, high-sensitivity, and easy to fabricate gas sensor based on high quality graphene oxide (GO), and we give the rationale to the high performance of the device. The device is fabricated by drop-casting water-dispersed single-layer GO flakes on standard 30 μm spaced interdigitated Pt electrodes. The exceptional size of the GO flakes (27 μm mean size and ∼500 μm maximum size) allows single GO flake to bridge adjacent electrodes. A typical p-type response is observed by testing the device in both reducing and oxidizing environments. The specific response to NO 2 is studied by varying the operating temperature and the gas concentration. Sensing activity is demonstrated to be mainly mediated by the oxygen functional groups. A 20 ppb detection limit is measured. Besides illustrating a simple and efficient approach to gas sensing, this work is an example of the versatility of graphene oxide, accomplishing tasks that are complementary to graphene.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Graphene: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
Cited by
Superstructured Assembly of Nanocarbons: Fullerenes, Nanotubes, and Graphene
Li, Z., Liu, Z., Sun, H., & Gao, C. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00102 · Cited by 554
Recent advances in carbon material-based NO2 gas sensors
Lee, S. W., Lee, W., Hong, Y., Lee, G., & Yoon, D. S. (2018) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2017.08.203 · Cited by 304
Recent Advances in Emerging 2D Material‐Based Gas Sensors: Potential in Disease Diagnosis
Zhang, L., Khan, K., Zou, J., Zhang, H., & Li, Y. (2019) · Advanced Materials Interfaces · doi:10.1002/admi.201901329 · Cited by 281
Thermal stability of WS2 flakes and gas sensing properties of WS2/WO3 composite to H2, NH3 and NO2
Perrozzi, F., Emamjomeh, S. M., Paolucci, V., Taglieri, G., Ottaviano, L., & Cantalini, C. (2017) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2016.12.069 · Cited by 267
Self-citationNanofiber‐Based Chemical Sensors
Andrady, A. L. (2022) · Applications of Polymer Nanofibers · doi:10.1002/9781119267713.ch4 · Cited by 5
Metadata
- Authors
- Prezioso, S., Perrozzi, F., Giancaterini, L., Cantalini, C., Treossi, E., Palermo, V., Nardone, M., Santucci, S., & Ottaviano, L.
- Venue
- The Journal of Physical Chemistry C
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-05-08
- Volume
- 117
- Issue
- 20
- Pages
- 10683-10690
- ISSN
- 1932-7447 (ISSN-L)
- 1932-7455
- OpenAlex
- W2317091106
- Cited by
- 230
- References
- 1
- FWCI
- 14.58
- Type
- journal article
- Language
- en
- Open access
- green
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.