2017
DOI: 10.1063/1.4999263
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NO2 gas sensor based on hydrogenated graphene

Abstract: We investigated the relationship between defects in graphene and NO2 gas sensitivity of graphene-based gas sensors. Defects were introduced by hydrogen plasma or ultraviolet (UV)/ozone treatment. As the defect concentration increased, the sensitivity was enhanced, and sub-ppb level detection limit was achieved. UV irradiation was used for recovery at room temperature. However, defects generated by ozone treatment, like graphene oxide, were reduced back to graphene by UV irradiation, so the ozone-treated graphe… Show more

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Cited by 32 publications
(19 citation statements)
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“…A possible explanation is the failure of the synthesis with conventional nitration methods and/or researchers may do not pay enough attention to the type of binding when studying the characteristics of gas sensors. For example, it has been reported that the UV-assisted sensing performance of HG is several times higher than that of GO, without any analysis of the binding type [36].…”
Section: Resultsmentioning
confidence: 99%
“…A possible explanation is the failure of the synthesis with conventional nitration methods and/or researchers may do not pay enough attention to the type of binding when studying the characteristics of gas sensors. For example, it has been reported that the UV-assisted sensing performance of HG is several times higher than that of GO, without any analysis of the binding type [36].…”
Section: Resultsmentioning
confidence: 99%
“…An alternate approach was to hydrogenate a graphene surface. This hydrogenated graphene sensor proved to be a stable NO 2 sensor at room temp [19].…”
Section: Introductionmentioning
confidence: 87%
“…A variety of graphene-based chemical sensors have been developed, fabricated, and tested [12]- [19]. Results from these devices demonstrate that graphene is a material suitable for constructing multifunctional sensors for varied applications [12].…”
Section: Introductionmentioning
confidence: 99%
“…However, the main drawback of graphene sensors is their low or zero selectivity. This can be improved by the modification of graphene 31,32 . Another approach is to involve multiple detection techniques.…”
mentioning
confidence: 99%