The DOI matches its Crossref record.
Stable and highly sensitive gas sensors based on semiconducting oxide nanobelts
Open accessAbstract
Gas sensors have been fabricated using the single-crystalline SnO2 nanobelts. Electrical characterization showed that the contacts were ohmic and the nanobelts were sensitive to environmental polluting species like CO and NO2, as well as to ethanol for breath analyzers and food control applications. The sensor response, defined as the relative variation in conductance due to the introduction of the gas, is 4160% for 250 ppm of ethanol and −1550% for 0.5 ppm NO2 at 400 °C. The results demonstrate the potential of fabricating nanosized sensors using the integrity of a single nanobelt with a sensitivity at the level of a few ppb.
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
Cited by
Detection of CO and O2 Using Tin Oxide Nanowire Sensors
Kolmakov, A., Zhang, Y., Cheng, G., & Moskovits, M. (2003) · Advanced Materials · doi:10.1002/adma.200304889 · Cited by 1,049
Gas Sensors Based on Semiconducting Metal Oxide One-Dimensional Nanostructures
Huang, J., & Wan, Q. (2009) · Sensors · doi:10.3390/s91209903 · Cited by 417
Polleux, J., Gurlo, A., Barsan, N., Weimar, U., Antonietti, M., & Niederberger, M. (2006) · Angewandte Chemie International Edition · doi:10.1002/anie.200502823 · Cited by 369
Ultraviolet Detectors Based on Wide Bandgap Semiconductor Nanowire: A Review
Zou, Y., Zhang, Y., Hu, Y., & Gu, H. (2018) · Sensors · doi:10.3390/s18072072 · Cited by 336
WS2 nanoflakes based selective ammonia sensors at room temperature
Li, X., Li, X., Li, Z., Wang, J., & Zhang, J. (2017) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2016.08.163 · Cited by 328
Metadata
- Authors
- Comini, E., Faglia, G., Sberveglieri, G., Pan, Z., & Wang, Z. L.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2002-09-02
- Volume
- 81
- Issue
- 10
- Pages
- 1869-1871
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2038518716
- Cited by
- 1,459
- References
- 0
- FWCI
- 56.08
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Stable and highly sensitive gas sensors based on semiconducting oxide nanobelts. https://app.cochat.ai/papers/10.1063/1.1504867
- The paper
- Comini, E., Faglia, G., Sberveglieri, G., Pan, Z., & Wang, Z. L. (2002). Stable and highly sensitive gas sensors based on semiconducting oxide nanobelts. Applied Physics Letters. https://doi.org/10.1063/1.1504867
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.
