The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Gas Sensors Based on Electrospun Nanofibers
Open accessAbstract
Nanofibers fabricated via electrospinning have specific surface approximately one to two orders of the magnitude larger than flat films, making them excellent candidates for potential applications in sensors. This review is an attempt to give an overview on gas sensors using electrospun nanofibers comprising polyelectrolytes, conducting polymer composites, and semiconductors based on various sensing techniques such as acoustic wave, resistive, photoelectric, and optical techniques. The results of sensing experiments indicate that the nanofiber-based sensors showed much higher sensitivity and quicker responses to target gases, compared with sensors based on flat films.
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Cites
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Electrospinning of Nanofibers: Reinventing the Wheel?
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Electrospinning: A Fascinating Method for the Preparation of Ultrathin Fibers
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Cited by
Synthesis, characterization, applications, and challenges of iron oxide nanoparticles
Ali, A., Zafar, H., Zia, M., ul Haq, I., Phull, A. R., Ali, J. S., & Hussain, A. (2016) · Nanotechnology, Science and Applications · doi:10.2147/nsa.s99986 · Cited by 1,591
Developments of Advanced Electrospinning Techniques: A Critical Review
Li, Y., Zhu, J., Cheng, H., Li, G., Cho, H., Jiang, M., Gao, Q., & Zhang, X. (2021) · Advanced Materials Technologies · doi:10.1002/admt.202100410 · Cited by 578
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Self-citationChen, X., Wong, C. K. Y., Yuan, C. A., & Zhang, G. (2013) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2012.10.134 · Cited by 395
Yang, G., Li, X., He, Y., Ma, J., Ni, G., & Zhou, S. (2018) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2017.12.003 · Cited by 336
Metadata
- Authors
- Ding, B., Wang, M., Yu, J., & Sun, G.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2009-03-09
- Volume
- 9
- Issue
- 3
- Pages
- 1609-1624
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2091087686
- Cited by
- 428
- References
- 39
- FWCI
- 19.80
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
