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dc.contributor.authorByoun,Young Min-
dc.contributor.authorChoi, Sun-Woo-
dc.contributor.authorByun, Young Tae-
dc.date.accessioned2024-01-12T03:01:57Z-
dc.date.available2024-01-12T03:01:57Z-
dc.date.created2022-04-06-
dc.date.issued2022-07-
dc.identifier.issn0169-4332-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/76685-
dc.description.abstractFor the discriminative detection of trace amounts of certain gas molecules in ambient environments, the gas response, selectivity, and humidity independence of sensing characteristics should be improved to realise real-time environmental monitoring applications. In this study, we implement a NO2 gas sensor operating at room temperature with excellent selectivity. The fabricated sensor exhibits good NO2 response even under a humid atmosphere between 33% and 76% RH (RH = relative humidity), compared with previously reported carbon-based sensing materials. To synthesise Pt-functionalised defect-induced single-walled carbon nanotubes (SWCNTs), pure SWCNTs are heat treated at 700 degrees C for 1 h under an Ar atmosphere for defect formation; subsequently, nanosized Pt particles are randomly functionalised on the surfaces of defect-induced SWCNTs via optimal ultraviolet irradiation. The Pt-functionalised defect-induced SWCNTs achieves high NO2 response, low detection limit (67 ppb), strong selectivity, good reversibility, and the ability to detect NO2 under a humid atmosphere. However, they exhibit only moderately improved humidity-immune NO2 sensing characteristics. The NO2 response of both the Pt-functionalised and defect-induced SWCNTs deteriorates significantly in a humid atmosphere (76% RH). These results show that Pt-functionalised defect-induced SWCNTs are a promising sensing material for the detection of NO2 gas in real-time applications.-
dc.languageEnglish-
dc.publisherElsevier BV-
dc.titleRealisation of highly sensitive and selective NO2 detection at room temperature utilizing defect-induced single-walled carbon nanotubes combined with Pt functionalisation-
dc.typeArticle-
dc.identifier.doi10.1016/j.apsusc.2022.153068-
dc.description.journalClass1-
dc.identifier.bibliographicCitationApplied Surface Science, v.590-
dc.citation.titleApplied Surface Science-
dc.citation.volume590-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000790737100003-
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