alpha-Synuclein Oligomer Detection with Aptamer Switch on Reduced Graphene Oxide Electrode
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Seung Joo | - |
dc.contributor.author | Lee, Chang-Seuk | - |
dc.contributor.author | Kim, Tae Hyun | - |
dc.date.accessioned | 2021-09-10T06:50:22Z | - |
dc.date.available | 2021-09-10T06:50:22Z | - |
dc.date.issued | 2020-05 | - |
dc.identifier.issn | 2079-4991 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/19527 | - |
dc.description.abstract | Protein aggregation of alpha-synuclein (alpha-Syn) is implicated in Parkinson's disease (PD), and, thus, alpha-Syn aggregates are a potentially promising candidate biomarker for PD diagnosis. Here, we describe a simple and sensitive electrochemical sensor to monitor the aggregation of alpha-Syn for early PD diagnosis. The sensor utilizes methylene blue (MB)-tagged aptamer (Apt) adsorbed on electrochemically reduced graphene oxide (ERGO) by pi-pi stacking. The binding of alpha-Syn oligomer to the Apt induces desorption of the Apt from the ERGO surface, which leads to the electrochemical signal change. The resulting sensor allowed the highly sensitive and selective detection of alpha-Syn oligomer according to the voltammetric change. Under optimized conditions, the linear range of detection was observed to be from 1 fM to 1 nM of the alpha-Syn oligomer and the limit of detection (LOD) was estimated to be 0.64 fM based on S/N = 3. The sensor also showed good reproducibility and stability, enabling real sample analysis of the alpha-Syn oligomer in human blood serum. With its ultrasensitivity and good performance for alpha-Syn oligomer detection, the sensor provides one promising tool for the early diagnosis of PD. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI | - |
dc.title | alpha-Synuclein Oligomer Detection with Aptamer Switch on Reduced Graphene Oxide Electrode | - |
dc.type | Article | - |
dc.publisher.location | 스위스 | - |
dc.identifier.doi | 10.3390/nano10050832 | - |
dc.identifier.scopusid | 2-s2.0-85084010216 | - |
dc.identifier.wosid | 000540781800015 | - |
dc.identifier.bibliographicCitation | Nanomaterials, v.10, no.5 | - |
dc.citation.title | Nanomaterials | - |
dc.citation.volume | 10 | - |
dc.citation.number | 5 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.subject.keywordPlus | PARKINSONS-DISEASE | - |
dc.subject.keywordPlus | ELECTROCHEMICAL APTASENSOR | - |
dc.subject.keywordPlus | NONMOTOR SYMPTOMS | - |
dc.subject.keywordPlus | EARLY-DIAGNOSIS | - |
dc.subject.keywordPlus | LEWY BODIES | - |
dc.subject.keywordPlus | AGGREGATION | - |
dc.subject.keywordPlus | DEMENTIA | - |
dc.subject.keywordPlus | DYNAMICS | - |
dc.subject.keywordPlus | SURFACE | - |
dc.subject.keywordPlus | NMR | - |
dc.subject.keywordAuthor | Parkinson's disease | - |
dc.subject.keywordAuthor | alpha-synuclein | - |
dc.subject.keywordAuthor | reduced graphene oxide (rGO) | - |
dc.subject.keywordAuthor | aptamer | - |
dc.subject.keywordAuthor | aptasensor | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(31538) 22, Soonchunhyang-ro, Asan-si, Chungcheongnam-do, Republic of Korea+82-41-530-1114
COPYRIGHT 2021 by SOONCHUNHYANG UNIVERSITY ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.