Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors
Abstract
Two-dimensional (2D) layered materials have attracted significant attention for device applications because of their unique structures and outstanding properties. Here, a field-effect transistor (FET) sensor device is fabricated based on 2D phosphorene nanosheets (PNSs). The PNS sensor exhibits an ultrahigh sensitivity to NO2 in dry air and the sensitivity is dependent on its thickness. A maximum response is observed for 4.8-nm-thick PNS, with a sensitivity up to 190% at 20 parts per billion (p.p.b.) at room temperature. First-principles calculations combined with the statistical thermodynamics modelling predict that the adsorption density is ~1015 cm-2 for the 4.8-nm-thick PNS when exposed to 20 p.p.b. NO2 at 300 K. As a result, our sensitivity modelling further suggests that the dependence of sensitivity on the PNS thickness is dictated by the band gap for thinner sheets (<10 nm) and by the effective thickness on gas adsorption for thicker sheets (>10 nm).
- Authors:
-
- Univ. of Wisconsin, Milwaukee, WI (United States)
- Northwestern Univ., Evanston, IL (United States)
- Publication Date:
- Research Org.:
- Univ. of Wisconsin, Milwaukee, WI (United States); Northwestern Univ., Evanston, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1239312
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nature Communications
- Additional Journal Information:
- Journal Volume: 6; Journal ID: ISSN 2041-1723
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 36 MATERIALS SCIENCE; chemical sciences; nanotechnology; materials science; physical chemistry
Citation Formats
Cui, Shumao, Pu, Haihui, Wells, Spencer A., Wen, Zhenhai, Mao, Shun, Chang, Jingbo, Hersam, Mark C., and Chen, Junhong. Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors. United States: N. p., 2015.
Web. doi:10.1038/ncomms9632.
Cui, Shumao, Pu, Haihui, Wells, Spencer A., Wen, Zhenhai, Mao, Shun, Chang, Jingbo, Hersam, Mark C., & Chen, Junhong. Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors. United States. https://doi.org/10.1038/ncomms9632
Cui, Shumao, Pu, Haihui, Wells, Spencer A., Wen, Zhenhai, Mao, Shun, Chang, Jingbo, Hersam, Mark C., and Chen, Junhong. Wed .
"Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors". United States. https://doi.org/10.1038/ncomms9632. https://www.osti.gov/servlets/purl/1239312.
@article{osti_1239312,
title = {Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors},
author = {Cui, Shumao and Pu, Haihui and Wells, Spencer A. and Wen, Zhenhai and Mao, Shun and Chang, Jingbo and Hersam, Mark C. and Chen, Junhong},
abstractNote = {Two-dimensional (2D) layered materials have attracted significant attention for device applications because of their unique structures and outstanding properties. Here, a field-effect transistor (FET) sensor device is fabricated based on 2D phosphorene nanosheets (PNSs). The PNS sensor exhibits an ultrahigh sensitivity to NO2 in dry air and the sensitivity is dependent on its thickness. A maximum response is observed for 4.8-nm-thick PNS, with a sensitivity up to 190% at 20 parts per billion (p.p.b.) at room temperature. First-principles calculations combined with the statistical thermodynamics modelling predict that the adsorption density is ~1015 cm-2 for the 4.8-nm-thick PNS when exposed to 20 p.p.b. NO2 at 300 K. As a result, our sensitivity modelling further suggests that the dependence of sensitivity on the PNS thickness is dictated by the band gap for thinner sheets (<10 nm) and by the effective thickness on gas adsorption for thicker sheets (>10 nm).},
doi = {10.1038/ncomms9632},
journal = {Nature Communications},
number = ,
volume = 6,
place = {United States},
year = {Wed Oct 21 00:00:00 EDT 2015},
month = {Wed Oct 21 00:00:00 EDT 2015}
}
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