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
Hauptverfasser: Caicedo, Nohora, Leturcq, Renaud, Raskin, Jean-Pierre, Flandre, Denis, Lenoble, Damien
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container_start_page 126602
container_title Sensors and actuators. B, Chemical
container_volume 297
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.
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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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