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dc.contributor.authorChae, Ari-
dc.contributor.authorMurali, G.-
dc.contributor.authorLee, Seul-Yi-
dc.contributor.authorGwak, Jeonghwan-
dc.contributor.authorKim, Seon Joon-
dc.contributor.authorJeong, Yong Jin-
dc.contributor.authorKang, Hansol-
dc.contributor.authorPark, Seongmin-
dc.contributor.authorLee, Albert S.-
dc.contributor.authorKoh, Dong-Yeun-
dc.contributor.authorIn, Insik-
dc.contributor.authorPark, Soo-Jin-
dc.date.accessioned2024-01-19T09:32:15Z-
dc.date.available2024-01-19T09:32:15Z-
dc.date.created2023-03-23-
dc.date.issued2023-06-
dc.identifier.issn1616-301X-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/113719-
dc.description.abstractVery recently, MXene-based wearable hydrogels have emerged as promising candidates for epidermal sensors due to their tissue-like softness and unique electrical and mechanical properties. However, it remains a challenge to achieve MXene-based hydrogels with reliable sensing performance and prolonged service life, because MXene inevitably oxidizes in water-containing system of the hydrogels. Herein, catechol-functionalized poly(vinyl alcohol) (PVA-CA)-based hydrogels is proposed to inhibit the oxidation of MXene, leading to rapid self-healing and superior strain sensing behaviors. Sufficient interaction of hydrophobic catechol groups with the MXene surface reduces the oxidation-accessible sites in the MXene for reaction with water and eventually suppresses the oxidation of MXene in the hydrogel. Furthermore, the PVA-CA-MXene hydrogel is demonstrated for use as a strain sensor for real-time motion monitoring, such as detecting subtle human motions and handwriting. The signals of PVA-CA-MXene hydrogel sensor can be accurately classified using deep learning models.-
dc.languageEnglish-
dc.publisherJohn Wiley & Sons Ltd.-
dc.titleHighly Oxidation-Resistant and Self-Healable MXene-Based Hydrogels for Wearable Strain Sensor-
dc.typeArticle-
dc.identifier.doi10.1002/adfm.202213382-
dc.description.journalClass1-
dc.identifier.bibliographicCitationAdvanced Functional Materials, v.33, no.24-
dc.citation.titleAdvanced Functional Materials-
dc.citation.volume33-
dc.citation.number24-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000941940000001-
dc.identifier.scopusid2-s2.0-85149393653-
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.keywordPlusSURFACE FUNCTIONALIZATION-
dc.subject.keywordPlusNANOSHEETS-
dc.subject.keywordPlusCOMPOSITE-
dc.subject.keywordAuthordeep learning-
dc.subject.keywordAuthorhydrogels-
dc.subject.keywordAuthorMXenes-
dc.subject.keywordAuthoroxidation-
dc.subject.keywordAuthorpoly(vinyl alcohol)-
dc.subject.keywordAuthorsensors-
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KIST Article > 2023
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