Detection mechanism in highly sensitive ZnO nanowires network gas sensors
•Large room-temperature response of ZnO nanowires network to oxygen sensing.•Non-linear electrical model to explain the microscopic conduction in the network.•Separate contributions of nanowires and junctions demonstrated experimentally.•Large room-temperature response demonstrated to be due to the...
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Veröffentlicht in: | Sensors and actuators. B, Chemical Chemical, 2019-10, Vol.297, p.126602, Article 126602 |
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creator | Caicedo, Nohora Leturcq, Renaud Raskin, Jean-Pierre Flandre, Denis Lenoble, Damien |
description | •Large room-temperature response of ZnO nanowires network to oxygen sensing.•Non-linear electrical model to explain the microscopic conduction in the network.•Separate contributions of nanowires and junctions demonstrated experimentally.•Large room-temperature response demonstrated to be due to the junctions.
Metal-oxide nanowires are showing a great interest in the domain of gas sensing due to their large response even at a low temperature, enabling low-power gas sensors. However their response is still not fully understood, and mainly restricted to the linear response regime, which limits the design of appropriate sensors for specific applications. Here we analyse the non-linear response of a sensor based on ZnO nanowires network, both as a function of the device geometry and as a response to oxygen exposure. Using an appropriate model, we disentangle the contribution of the nanowire resistance and of the junctions between nanowires in the network. The applied model shows a very good consistency with the experimental data, allowing us to demonstrate that the response to oxygen at room temperature is dominated by the barrier potential at low bias voltage, and that the nanowire resistance starts to play a role at higher bias voltage. This analysis allows us to find the appropriate device geometry and working point in order to optimize the sensitivity. Such analysis is important for providing design rules, not only for sensing devices, but also for applications in electronics and opto-electronics using nanostructures networks with different materials and geometries. |
doi_str_mv | 10.1016/j.snb.2019.05.079 |
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Metal-oxide nanowires are showing a great interest in the domain of gas sensing due to their large response even at a low temperature, enabling low-power gas sensors. However their response is still not fully understood, and mainly restricted to the linear response regime, which limits the design of appropriate sensors for specific applications. Here we analyse the non-linear response of a sensor based on ZnO nanowires network, both as a function of the device geometry and as a response to oxygen exposure. Using an appropriate model, we disentangle the contribution of the nanowire resistance and of the junctions between nanowires in the network. The applied model shows a very good consistency with the experimental data, allowing us to demonstrate that the response to oxygen at room temperature is dominated by the barrier potential at low bias voltage, and that the nanowire resistance starts to play a role at higher bias voltage. This analysis allows us to find the appropriate device geometry and working point in order to optimize the sensitivity. Such analysis is important for providing design rules, not only for sensing devices, but also for applications in electronics and opto-electronics using nanostructures networks with different materials and geometries.</description><identifier>ISSN: 0925-4005</identifier><identifier>EISSN: 1873-3077</identifier><identifier>DOI: 10.1016/j.snb.2019.05.079</identifier><language>eng</language><publisher>Lausanne: Elsevier B.V</publisher><subject>Bias ; Electric potential ; Electronics ; Gas sensor ; Gas sensors ; Metal oxides ; Modelling ; Nanowires ; Nanowires network ; Nonlinear analysis ; Nonlinear response ; Sensitivity analysis ; Sensors ; Voltage ; Zinc oxide ; ZnO nanowire</subject><ispartof>Sensors and actuators. B, Chemical, 2019-10, Vol.297, p.126602, Article 126602</ispartof><rights>2019 The Author(s)</rights><rights>Copyright Elsevier Science Ltd. Oct 15, 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-deec1e8d8179e21197eef71d471e249c79825f7e5a83a678c6194a9692853e293</citedby><cites>FETCH-LOGICAL-c471t-deec1e8d8179e21197eef71d471e249c79825f7e5a83a678c6194a9692853e293</cites><orcidid>0000-0001-7115-9172</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0925400519307828$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Caicedo, Nohora</creatorcontrib><creatorcontrib>Leturcq, Renaud</creatorcontrib><creatorcontrib>Raskin, Jean-Pierre</creatorcontrib><creatorcontrib>Flandre, Denis</creatorcontrib><creatorcontrib>Lenoble, Damien</creatorcontrib><title>Detection mechanism in highly sensitive ZnO nanowires network gas sensors</title><title>Sensors and actuators. B, Chemical</title><description>•Large room-temperature response of ZnO nanowires network to oxygen sensing.•Non-linear electrical model to explain the microscopic conduction in the network.•Separate contributions of nanowires and junctions demonstrated experimentally.•Large room-temperature response demonstrated to be due to the junctions.
Metal-oxide nanowires are showing a great interest in the domain of gas sensing due to their large response even at a low temperature, enabling low-power gas sensors. However their response is still not fully understood, and mainly restricted to the linear response regime, which limits the design of appropriate sensors for specific applications. Here we analyse the non-linear response of a sensor based on ZnO nanowires network, both as a function of the device geometry and as a response to oxygen exposure. Using an appropriate model, we disentangle the contribution of the nanowire resistance and of the junctions between nanowires in the network. The applied model shows a very good consistency with the experimental data, allowing us to demonstrate that the response to oxygen at room temperature is dominated by the barrier potential at low bias voltage, and that the nanowire resistance starts to play a role at higher bias voltage. This analysis allows us to find the appropriate device geometry and working point in order to optimize the sensitivity. Such analysis is important for providing design rules, not only for sensing devices, but also for applications in electronics and opto-electronics using nanostructures networks with different materials and geometries.</description><subject>Bias</subject><subject>Electric potential</subject><subject>Electronics</subject><subject>Gas sensor</subject><subject>Gas sensors</subject><subject>Metal oxides</subject><subject>Modelling</subject><subject>Nanowires</subject><subject>Nanowires network</subject><subject>Nonlinear analysis</subject><subject>Nonlinear response</subject><subject>Sensitivity analysis</subject><subject>Sensors</subject><subject>Voltage</subject><subject>Zinc oxide</subject><subject>ZnO nanowire</subject><issn>0925-4005</issn><issn>1873-3077</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kLtOwzAUhi0EEqXwAGyWmBN8ieNYTKjcKlXqAguLZZyT1qG1i51S9e1xKTPTGc73n8uH0DUlJSW0vu3L5D9KRqgqiSiJVCdoRBvJC06kPEUjopgoKkLEObpIqSeEVLwmIzR9gAHs4ILHa7BL411aY-fx0i2Wqz1O4JMb3Dfgdz_H3viwcxES9jDsQvzEC5N-mRDTJTrrzCrB1V8do7enx9fJSzGbP08n97PCVpIORQtgKTRtQ6UCRqmSAJ2kbW4Cq5SVqmGikyBMw00tG1tTVRlVK9YIDkzxMbo5zt3E8LWFNOg-bKPPKzVjqqokF4xnih4pG0NKETq9iW5t4l5Tog_GdK-zMX0wponQ2VjO3B0zkM__dhB1sg68hTb_bAfdBvdP-gfFdXNm</recordid><startdate>20191015</startdate><enddate>20191015</enddate><creator>Caicedo, Nohora</creator><creator>Leturcq, Renaud</creator><creator>Raskin, Jean-Pierre</creator><creator>Flandre, Denis</creator><creator>Lenoble, Damien</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7SR</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-7115-9172</orcidid></search><sort><creationdate>20191015</creationdate><title>Detection mechanism in highly sensitive ZnO nanowires network gas sensors</title><author>Caicedo, Nohora ; Leturcq, Renaud ; Raskin, Jean-Pierre ; Flandre, Denis ; Lenoble, Damien</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-deec1e8d8179e21197eef71d471e249c79825f7e5a83a678c6194a9692853e293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Bias</topic><topic>Electric potential</topic><topic>Electronics</topic><topic>Gas sensor</topic><topic>Gas sensors</topic><topic>Metal oxides</topic><topic>Modelling</topic><topic>Nanowires</topic><topic>Nanowires network</topic><topic>Nonlinear analysis</topic><topic>Nonlinear response</topic><topic>Sensitivity analysis</topic><topic>Sensors</topic><topic>Voltage</topic><topic>Zinc oxide</topic><topic>ZnO nanowire</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Caicedo, Nohora</creatorcontrib><creatorcontrib>Leturcq, Renaud</creatorcontrib><creatorcontrib>Raskin, Jean-Pierre</creatorcontrib><creatorcontrib>Flandre, Denis</creatorcontrib><creatorcontrib>Lenoble, Damien</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Sensors and actuators. B, Chemical</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Caicedo, Nohora</au><au>Leturcq, Renaud</au><au>Raskin, Jean-Pierre</au><au>Flandre, Denis</au><au>Lenoble, Damien</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection mechanism in highly sensitive ZnO nanowires network gas sensors</atitle><jtitle>Sensors and actuators. B, Chemical</jtitle><date>2019-10-15</date><risdate>2019</risdate><volume>297</volume><spage>126602</spage><pages>126602-</pages><artnum>126602</artnum><issn>0925-4005</issn><eissn>1873-3077</eissn><abstract>•Large room-temperature response of ZnO nanowires network to oxygen sensing.•Non-linear electrical model to explain the microscopic conduction in the network.•Separate contributions of nanowires and junctions demonstrated experimentally.•Large room-temperature response demonstrated to be due to the junctions.
Metal-oxide nanowires are showing a great interest in the domain of gas sensing due to their large response even at a low temperature, enabling low-power gas sensors. However their response is still not fully understood, and mainly restricted to the linear response regime, which limits the design of appropriate sensors for specific applications. Here we analyse the non-linear response of a sensor based on ZnO nanowires network, both as a function of the device geometry and as a response to oxygen exposure. Using an appropriate model, we disentangle the contribution of the nanowire resistance and of the junctions between nanowires in the network. The applied model shows a very good consistency with the experimental data, allowing us to demonstrate that the response to oxygen at room temperature is dominated by the barrier potential at low bias voltage, and that the nanowire resistance starts to play a role at higher bias voltage. This analysis allows us to find the appropriate device geometry and working point in order to optimize the sensitivity. Such analysis is important for providing design rules, not only for sensing devices, but also for applications in electronics and opto-electronics using nanostructures networks with different materials and geometries.</abstract><cop>Lausanne</cop><pub>Elsevier B.V</pub><doi>10.1016/j.snb.2019.05.079</doi><orcidid>https://orcid.org/0000-0001-7115-9172</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bias Electric potential Electronics Gas sensor Gas sensors Metal oxides Modelling Nanowires Nanowires network Nonlinear analysis Nonlinear response Sensitivity analysis Sensors Voltage Zinc oxide ZnO nanowire |
title | Detection mechanism in highly sensitive ZnO nanowires network gas sensors |
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