2021
DOI: 10.18494/sam.2021.3296
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Graphene Functionalized by Doping and Defects for Gas Sensor Application

Abstract: Graphene, as a two-dimensional (2D) carbon material, has been a research focus in the field of sensors since its discovery owing to its physical and chemical properties. However, the zeroband-gap characteristic of graphene places many restrictions on its application in sensors. To expand the application potential of graphene materials in the field of detection, various surface functionalization methods have been developed. The most common and useful methods of functionalization are doping and the introduction … Show more

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Cited by 3 publications
(2 citation statements)
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References 87 publications
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“…This is to highlight that CNWs can be used to detect a variety of different gases, which can be useful in multi-gas sensing applications. Further improvement of the performance of CNW-based gas sensors presented in this work can be achieved through modification of the surface of CNWs [89,90], decoration of the walls with noble metals [24,91,92], and employing various doping mechanisms [93][94][95].…”
Section: Gas-sensing Propertiesmentioning
confidence: 99%
“…This is to highlight that CNWs can be used to detect a variety of different gases, which can be useful in multi-gas sensing applications. Further improvement of the performance of CNW-based gas sensors presented in this work can be achieved through modification of the surface of CNWs [89,90], decoration of the walls with noble metals [24,91,92], and employing various doping mechanisms [93][94][95].…”
Section: Gas-sensing Propertiesmentioning
confidence: 99%
“…Doping graphene derivatives with heteroatoms are promising materials for highperformance sensing, 34 for example gas and toxic gas sensors. [35][36][37][38][39] The detection of target analytes using graphene materials is mostly depend on the changes of the conductance aer the adsorption of analytes to be sensed. 34 Graphene-boron nitride heterostructures have been utilised as gas sensor.…”
Section: Introductionmentioning
confidence: 99%