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Gold and Zno-Based Metal-Semiconductor Network for Highly Sensitive Room-Temperature Gas Sensing
Mid Sweden University, Faculty of Science, Technology and Media, Department of Natural Sciences.ORCID iD: 0000-0003-2873-7875
Mid Sweden University, Faculty of Science, Technology and Media, Department of Natural Sciences.ORCID iD: 0000-0001-9137-3440
Mid Sweden University, Faculty of Science, Technology and Media, Department of Chemical Engineering.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Natural Sciences.ORCID iD: 0000-0001-7329-3359
2019 (English)In: Sensors, E-ISSN 1424-8220, Vol. 19, no 18, article id 3815Article in journal (Refereed) Published
Abstract [en]

Metal-semiconductor junctions and interfaces have been studied for many years due to their importance in applications such as semiconductor electronics and solar cells. However, semiconductor-metal networks are less studied because there is a lack of effective methods to fabricate such structures. Here, we report a novel Au-ZnO-based metal-semiconductor (M-S)n network in which ZnO nanowires were grown horizontally on gold particles and extended to reach the neighboring particles, forming an (M-S)n network. The (M-S)n network was further used as a gas sensor for sensing ethanol and acetone gases. The results show that the (M-S)n network is sensitive to ethanol (28.1 ppm) and acetone (22.3 ppm) gases and has the capacity to recognize the two gases based on differences in the saturation time. This study provides a method for producing a new type of metal-semiconductor network structure and demonstrates its application in gas sensing.

Place, publisher, year, edition, pages
2019. Vol. 19, no 18, article id 3815
Keywords [en]
gas sensors, gold particles, metal-semiconductor network, room temperature sensors, ZnO nanowires
National Category
Condensed Matter Physics
Identifiers
URN: urn:nbn:se:miun:diva-37307DOI: 10.3390/s19183815ISI: 000489187800001PubMedID: 31487792Scopus ID: 2-s2.0-85071735029OAI: oai:DiVA.org:miun-37307DiVA, id: diva2:1353789
Available from: 2019-09-24 Created: 2019-09-24 Last updated: 2022-04-04Bibliographically approved

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Zhang, RenyunHummelgård, MagnusLjunggren, JoelOlin, Håkan

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