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dc.contributor.authorHan, Hyeuk Jin-
dc.contributor.authorCho, Seunghee H.-
dc.contributor.authorHan, Sangjun-
dc.contributor.authorJang, Ji-Soo-
dc.contributor.authorLee, Gyu Rac-
dc.contributor.authorCho, Eugene N.-
dc.contributor.authorKim, Sang-Joon-
dc.contributor.authorKim, Il-Doo-
dc.contributor.authorJang, Min Seok-
dc.contributor.authorTuller, Harry L.-
dc.contributor.authorCha, Judy J.-
dc.contributor.authorJung, Yeon Sik-
dc.date.accessioned2024-01-19T13:31:33Z-
dc.date.available2024-01-19T13:31:33Z-
dc.date.created2022-01-25-
dc.date.issued2021-11-
dc.identifier.issn0935-9648-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/116184-
dc.description.abstractPractical sensing applications such as real-time safety alerts and clinical diagnoses require sensor devices to differentiate between various target molecules with high sensitivity and selectivity, yet conventional devices such as oxide-based chemo-resistive sensors and metal-based surface-enhanced Raman spectroscopy (SERS) sensors usually do not satisfy such requirements. Here, a label-free, chemo-resistive/SERS multimodal sensor based on a systematically assembled 3D cross-point multifunctional nanoarchitecture (3D-CMA), which has unusually strong enhancements in both "chemo-resistive" and "SERS" sensing characteristics is introduced. 3D-CMA combines several sensing mechanisms and sensing elements via 3D integration of semiconducting SnO2 nanowire frameworks and dual-functioning Au metallic nanoparticles. It is shown that the multimodal sensor can successfully estimate mixed-gas compositions selectively and quantitatively at the sub-100 ppm level, even for mixtures of gaseous aromatic compounds (nitrobenzene and toluene) with very similar molecular structures. This is enabled by combined chemo-resistive and SERS multimodal sensing providing complementary information.-
dc.languageEnglish-
dc.publisherWILEY-V C H VERLAG GMBH-
dc.titleSynergistic Integration of Chemo-Resistive and SERS Sensing for Label-Free Multiplex Gas Detection-
dc.typeArticle-
dc.identifier.doi10.1002/adma.202105199-
dc.description.journalClass1-
dc.identifier.bibliographicCitationADVANCED MATERIALS, v.33, no.44-
dc.citation.titleADVANCED MATERIALS-
dc.citation.volume33-
dc.citation.number44-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000700059800001-
dc.identifier.scopusid2-s2.0-85115665199-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.type.docTypeArticle-
dc.subject.keywordPlusLUNG-CANCER-
dc.subject.keywordPlusSENSOR-
dc.subject.keywordPlusNANOFIBERS-
dc.subject.keywordPlusSUBSTRATE-
dc.subject.keywordPlusCATALYSTS-
dc.subject.keywordPlusARRAY-
dc.subject.keywordAuthorgas sensors-
dc.subject.keywordAuthormetal oxides-
dc.subject.keywordAuthormultimodal-
dc.subject.keywordAuthornanoarchitectures-
dc.subject.keywordAuthornanotransfer printing-
dc.subject.keywordAuthorplasmonic metals-
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KIST Article > 2021
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