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ZnO nanowire arrays on 3D-hierachical graphene foam: Biomarker detection of Parkinson's disease

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dc.contributor.authorHongyan Yue-
dc.contributor.authorShuo Huang-
dc.contributor.authorJian Chang-
dc.contributor.authorChaejeong Heo-
dc.contributor.authorFei Yao-
dc.contributor.authorSubash Adhikari-
dc.contributor.authorFethullah Gunes-
dc.contributor.authorLi Chun Liu-
dc.contributor.authorTae Hoon Lee-
dc.contributor.authorEung Seok Oh-
dc.contributor.authorBing Li-
dc.contributor.authorJian Jiao Zhang-
dc.contributor.authorTa Quang Huy-
dc.contributor.authorNguyen Van Luan-
dc.contributor.authorYoung Hee Lee-
dc.date.available2015-04-20T06:14:42Z-
dc.date.created2014-08-11-
dc.date.issued2014-02-
dc.identifier.issn1936-0851-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/1124-
dc.description.abstractWe report that vertically aligned ZnO nanowire arrays (ZnO NWAs) were fabricated on 3D graphene foam (GF) and used to selectively detect uric acid (UA), dopamine (DA), and ascorbic acid (AA) by a differential pulse voltammetry method. The optimized ZnO NWA/GF electrode provided a high surface area and high selectivity with a detection limit of 1 nM for UA and DA. The high selectivity in the oxidation potential was explained by the gap difference between the lowest unoccupied and highest occupied molecular orbitals of a biomolecule for a set of given electrodes. This method was further used to detect UA levels in the serum of patients with Parkinson's disease (PD). The UA level was 25% lower in PD patients than in healthy individuals. This finding strongly implies that UA can be used as a biomarker for PD.-
dc.description.uri1-
dc.language영어-
dc.publisherAMER CHEMICAL SOC-
dc.subjectZnO nanowire arrays . graphene foam . biosensor . biomarker detection .Parkinson&apos-
dc.subjects disease-
dc.titleZnO nanowire arrays on 3D-hierachical graphene foam: Biomarker detection of Parkinson's disease-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid000332059200060-
dc.identifier.scopusid2-s2.0-84894627742-
dc.identifier.rimsid147ko
dc.date.tcdate2018-10-01-
dc.contributor.affiliatedAuthorHongyan Yue-
dc.contributor.affiliatedAuthorJian Chang-
dc.contributor.affiliatedAuthorChaejeong Heo-
dc.contributor.affiliatedAuthorFei Yao-
dc.contributor.affiliatedAuthorSubash Adhikari-
dc.contributor.affiliatedAuthorTae Hoon Lee-
dc.contributor.affiliatedAuthorBing Li-
dc.contributor.affiliatedAuthorTa Quang Huy-
dc.contributor.affiliatedAuthorNguyen Van Luan-
dc.contributor.affiliatedAuthorYoung Hee Lee-
dc.identifier.doi10.1021/nn405961p-
dc.identifier.bibliographicCitationACS NANO, v.8, no.2, pp.1639 - 1646-
dc.citation.titleACS NANO-
dc.citation.volume8-
dc.citation.number2-
dc.citation.startPage1639-
dc.citation.endPage1646-
dc.date.scptcdate2018-10-01-
dc.description.wostc122-
dc.description.scptc124-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Appears in Collections:
Center for Integrated Nanostructure Physics(나노구조물리 연구단) > 1. Journal Papers (저널논문)
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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