Highly selective and sensitive detection of neurotransmitters using receptor-modified single-walled carbon nanotube sensors
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Byeongju | - |
dc.contributor.author | Song, Hyun Seok | - |
dc.contributor.author | Jin, Hye Jun | - |
dc.contributor.author | Park, Eun Jin | - |
dc.contributor.author | Lee, Sang Hun | - |
dc.contributor.author | Lee, Byung Yang | - |
dc.contributor.author | Park, Tai Hyun | - |
dc.contributor.author | Hong, Seunghun | - |
dc.date.accessioned | 2021-09-05T23:39:16Z | - |
dc.date.available | 2021-09-05T23:39:16Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2013-07-19 | - |
dc.identifier.issn | 0957-4484 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/102690 | - |
dc.description.abstract | We present receptor-modified carbon nanotube sensors for the highly selective and sensitive detection of acetylcholine (ACh), one kind of neurotransmitter. Here, we successfully expressed the M1 muscarinic acetylcholine receptor (M1 mAChR), a family of G protein-coupled receptors (GPCRs), in E. coli and coated single-walled carbon nanotube (swCNT)-field effect transistors (FETs) with lipid membrane including the receptor, enabling highly selective and sensitive ACh detection. Using this sensor, we could detect ACh at 100 pM concentration. Moreover, we showed that this sensor could selectively detect ACh among other neurotransmitters. This is the first demonstration of the real-time detection of ACh using specific binding between ACh and M1 mAChR, and it may lead to breakthroughs for various applications such as disease diagnosis and drug screening. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IOP PUBLISHING LTD | - |
dc.subject | HUMAN OLFACTORY RECEPTOR | - |
dc.subject | CHROMATOGRAPHY/TANDEM MASS-SPECTROMETRY | - |
dc.subject | SURFACE-PLASMON RESONANCE | - |
dc.subject | FIELD-EFFECT TRANSISTORS | - |
dc.subject | BIOELECTRONIC NOSE | - |
dc.subject | ACETYLCHOLINE-RECEPTOR | - |
dc.subject | SIGNAL-TRANSDUCTION | - |
dc.subject | ESCHERICHIA-COLI | - |
dc.subject | EXPRESSION | - |
dc.subject | CHOLINE | - |
dc.title | Highly selective and sensitive detection of neurotransmitters using receptor-modified single-walled carbon nanotube sensors | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Byung Yang | - |
dc.identifier.doi | 10.1088/0957-4484/24/28/285501 | - |
dc.identifier.scopusid | 2-s2.0-84879474664 | - |
dc.identifier.wosid | 000320775500008 | - |
dc.identifier.bibliographicCitation | NANOTECHNOLOGY, v.24, no.28 | - |
dc.relation.isPartOf | NANOTECHNOLOGY | - |
dc.citation.title | NANOTECHNOLOGY | - |
dc.citation.volume | 24 | - |
dc.citation.number | 28 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.subject.keywordPlus | HUMAN OLFACTORY RECEPTOR | - |
dc.subject.keywordPlus | CHROMATOGRAPHY/TANDEM MASS-SPECTROMETRY | - |
dc.subject.keywordPlus | SURFACE-PLASMON RESONANCE | - |
dc.subject.keywordPlus | FIELD-EFFECT TRANSISTORS | - |
dc.subject.keywordPlus | BIOELECTRONIC NOSE | - |
dc.subject.keywordPlus | ACETYLCHOLINE-RECEPTOR | - |
dc.subject.keywordPlus | SIGNAL-TRANSDUCTION | - |
dc.subject.keywordPlus | ESCHERICHIA-COLI | - |
dc.subject.keywordPlus | EXPRESSION | - |
dc.subject.keywordPlus | CHOLINE | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea 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.