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MoS2 Nanosheet–Pd Nanoparticle Composite for Highly Sensitive Room Temperature Detection of Hydrogen
Open accessAbstract
Highly sensitive hydrogen detection at room temperature can be realized by employing solution-processed MoS2 nanosheet–Pd nanoparticle composite. A MoS2–Pd composite exhibits greater sensing performance than its graphene counterpart, indicating that solvent exfoliated MoS2 holds great promise for inexpensive and scalable fabrication of highly sensitive chemical sensors.
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Cited by
Chemical sensing with 2D materials
Anichini, C., Czepa, W., Pakulski, D., Aliprandi, A., Ciesielski, A., & Samorì, P. (2018) · Chemical Society Reviews · doi:10.1039/c8cs00417j · Cited by 756
UV-Activated MoS2 Based Fast and Reversible NO2 Sensor at Room Temperature
Kumar, R., Goel, N., & Kumar, M. (2017) · ACS Sensors · doi:10.1021/acssensors.7b00731 · Cited by 490
Samadi, M., Sarikhani, N., Zirak, M., Zhang, H., Zhang, H.-L., & Moshfegh, A. Z. (2018) · Nanoscale Horizons · doi:10.1039/c7nh00137a · Cited by 408
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
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
Metadata
- Authors
- Kuru, C., Choi, C., Kargar, A., Choi, D., Kim, Y. J., Liu, C. H., Yavuz, S., & Jin, S.
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2015-03-02
- Volume
- 2
- Issue
- 4
- Pages
- 1500004-1500004
- ISSN
- 2198-3844 (ISSN-L)
- OpenAlex
- W1994712058
- Cited by
- 164
- References
- 0
- FWCI
- 6.42
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kuru, C., Choi, C., Kargar, A., Choi, D., Kim, Y. J., Liu, C. H., Yavuz, S., & Jin, S. (2015). MoS2 Nanosheet–Pd Nanoparticle Composite for Highly Sensitive Room Temperature Detection of Hydrogen. Advanced Science. https://doi.org/10.1002/advs.201500004
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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