The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
MoS2-Based Optoelectronic Gas Sensor with Sub-parts-per-billion Limit of NO2 Gas Detection
Abstract
Red light illumination with photon energy matching the direct band gap of chemical vapor deposition grown single-layer MoS 2 with Au metal electrodes was used to induce a photocurrent which was employed instead of dark current for NO 2 gas sensing. The resulting Au/MoS 2 /Au optoelectronic gas sensor showed a significant enhancement of the device sensitivity S toward ppb level of NO 2 gas exposure reaching S = 4.9%/ppb (4900%/ppm), where S is a slope of dependence of relative change of the sensor resistance on NO 2 concentration. Further optimization of the MoS 2 -based optoelectronic gas sensor by using graphene (Gr) with a work function lower than that of Au for the electrical contacts to the MoS 2 channel allowed an increase of photocurrent. The limit of detection of NO 2 gas at the level of 0.1 ppb was obtained for the MoS 2 channel with graphene electrodes coated by Au. This value was calculated using experimentally obtained sensitivity and noise values and exceeds the U.S. Environment Protection Agency requirement for NO 2 gas detection at ppb level.
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MoS2‐Based Nanomaterials for Room‐Temperature Gas Sensors
Kumar, R., Zheng, W., Liu, X., Zhang, J., & Kumar, M. (2020) · Advanced Materials Technologies · doi:10.1002/admt.201901062 · Cited by 287
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Metadata
- Authors
- Pham, T., Li, G., Bekyarova, E., Itkis, M. E., & Mulchandani, A.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-02-20
- Volume
- 13
- Issue
- 3
- Pages
- 3196-3205
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2916829776
- Cited by
- 536
- References
- 57
- FWCI
- 21.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pham, T., Li, G., Bekyarova, E., Itkis, M. E., & Mulchandani, A. (2019). MoS2-Based Optoelectronic Gas Sensor with Sub-parts-per-billion Limit of NO2 Gas Detection. ACS Nano. https://doi.org/10.1021/acsnano.8b08778
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