Alcohol Recognition by Flexible, Transparent and Highly Sensitive Graphene-Based Thin-Film Sensors

Handle URI:
http://hdl.handle.net/10754/625143
Title:
Alcohol Recognition by Flexible, Transparent and Highly Sensitive Graphene-Based Thin-Film Sensors
Authors:
Xu, Xuezhu; Zhou, Jian ( 0000-0003-0144-5901 ) ; Xin, Yangyang; Lubineau, Gilles ( 0000-0002-7370-6093 ) ; Ma, Qian; Jiang, Long
Abstract:
Chemical sensors detect a variety of chemicals across numerous fields, such as automobile, aerospace, safety, indoor air quality, environmental control, food, industrial production and medicine. We successfully assemble an alcohol-sensing device comprising a thin-film sensor made of graphene nanosheets (GNs) and bacterial cellulose nanofibers (BCNs). We show that the GN/BCN sensor has a high selectivity to ethanol by distinguishing liquid-phase or vapor-phase ethanol (C2H6O) from water (H2O) intelligently with accurate transformation into electrical signals in devices. The BCN component of the film amplifies the ethanol sensitivity of the film, whereby the GN/BCN sensor has 12400% sensitivity for vapor-phase ethanol compared to the pure GN sensor, which has only 21% sensitivity. Finally, GN/BCN sensors demonstrate fast response/recovery times and a wide range of alcohol detection (10-100%). The superior sensing ability of GN/BCN compared to GNs alone is due to the improved wettability of BCNs and the ionization of liquids. We prove a facile, green, low-cost route for the assembly of ethanol-sensing devices with potential for vast application.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Xu X, Zhou J, Xin Y, Lubineau G, Ma Q, et al. (2017) Alcohol Recognition by Flexible, Transparent and Highly Sensitive Graphene-Based Thin-Film Sensors. Scientific Reports 7. Available: http://dx.doi.org/10.1038/s41598-017-04636-2.
Publisher:
Springer Nature
Journal:
Scientific Reports
Issue Date:
22-Jun-2017
DOI:
10.1038/s41598-017-04636-2
Type:
Article
ISSN:
2045-2322
Sponsors:
This research was supported by the King Abdullah University of Science and Technology (KAUST). The authors are grateful to KAUST for its continuous support.
Additional Links:
https://www.nature.com/articles/s41598-017-04636-2
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorXu, Xuezhuen
dc.contributor.authorZhou, Jianen
dc.contributor.authorXin, Yangyangen
dc.contributor.authorLubineau, Gillesen
dc.contributor.authorMa, Qianen
dc.contributor.authorJiang, Longen
dc.date.accessioned2017-07-03T11:45:31Z-
dc.date.available2017-07-03T11:45:31Z-
dc.date.issued2017-06-22en
dc.identifier.citationXu X, Zhou J, Xin Y, Lubineau G, Ma Q, et al. (2017) Alcohol Recognition by Flexible, Transparent and Highly Sensitive Graphene-Based Thin-Film Sensors. Scientific Reports 7. Available: http://dx.doi.org/10.1038/s41598-017-04636-2.en
dc.identifier.issn2045-2322en
dc.identifier.doi10.1038/s41598-017-04636-2en
dc.identifier.urihttp://hdl.handle.net/10754/625143-
dc.description.abstractChemical sensors detect a variety of chemicals across numerous fields, such as automobile, aerospace, safety, indoor air quality, environmental control, food, industrial production and medicine. We successfully assemble an alcohol-sensing device comprising a thin-film sensor made of graphene nanosheets (GNs) and bacterial cellulose nanofibers (BCNs). We show that the GN/BCN sensor has a high selectivity to ethanol by distinguishing liquid-phase or vapor-phase ethanol (C2H6O) from water (H2O) intelligently with accurate transformation into electrical signals in devices. The BCN component of the film amplifies the ethanol sensitivity of the film, whereby the GN/BCN sensor has 12400% sensitivity for vapor-phase ethanol compared to the pure GN sensor, which has only 21% sensitivity. Finally, GN/BCN sensors demonstrate fast response/recovery times and a wide range of alcohol detection (10-100%). The superior sensing ability of GN/BCN compared to GNs alone is due to the improved wettability of BCNs and the ionization of liquids. We prove a facile, green, low-cost route for the assembly of ethanol-sensing devices with potential for vast application.en
dc.description.sponsorshipThis research was supported by the King Abdullah University of Science and Technology (KAUST). The authors are grateful to KAUST for its continuous support.en
dc.publisherSpringer Natureen
dc.relation.urlhttps://www.nature.com/articles/s41598-017-04636-2en
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleAlcohol Recognition by Flexible, Transparent and Highly Sensitive Graphene-Based Thin-Film Sensorsen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalScientific Reportsen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionCollege of Textile and Clothing, Yancheng Institute of Industry Technology, Yancheng, 224005, P. R. Chinaen
dc.contributor.institutionNorth Dakota State University, Department of Mechanical Engineering, Fargo, ND, 58102, United Statesen
kaust.authorXu, Xuezhuen
kaust.authorZhou, Jianen
kaust.authorXin, Yangyangen
kaust.authorLubineau, Gillesen
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