Full metadata record

DC FieldValueLanguage
dc.contributor.author주재범-
dc.date.accessioned2019-12-09T19:10:22Z-
dc.date.available2019-12-09T19:10:22Z-
dc.date.issued2018-10-
dc.identifier.citationSENSORS AND ACTUATORS B-CHEMICAL, v. 270, page. 72-79en_US
dc.identifier.issn0925-4005-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0925400518308736?via%3Dihub-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/120390-
dc.description.abstractBacterial pathogens such as Yersinia pestis, Francisella tularensis, and Bacillus anthraces are classified into the highest rank of potential bioterrorism agents. Colorimetric lateral flow assay (LFA) strips are commercially available but these conventional strips have drawbacks in terms of low sensitivity and limit of quantitative analysis. Therefore, there is an urgent need for a new sensing platform to detect these pathogens in the early contamination stage. In this study, a novel surface-enhanced Raman scattering (SERS)-based LFA strip was developed for sensitive detection of bacterial pathogens. Target-specific SERS nanotags (Raman reporter-labeled gold nanoparticles) were used as an alternative to the gold nanoparticles in conventional LFA strips. Using these SERS nanotags the presence of bacteria could be identified through a simple color change in the test line. Additionally, highly sensitive and accurate quantitative analysis could be performed by monitoring the characteristic Raman peak intensity of SERS nanotags that were captured in the test line. This highly sensitive method required a short assay time (15 min) and a tiny volume of pathogen sample (40 mu L). We believe that the proposed SERS-based LFA technique has great potential as a valuable tool in the early detection of specific bacterial pathogens in the field due to its excellent analytical sensitivity. (C) 2018 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipThis work was supported by the Research Program of the Korea Centers for Disease Control and Prevention (grant number 2017E4500200). The National Research Foundation of Korea also supported this work (grant number 2009-00426).en_US
dc.language.isoen_USen_US
dc.publisherELSEVIER SCIENCE SAen_US
dc.subjectYersinia pestisen_US
dc.subjectFrancisella tularensisen_US
dc.subjectBacillus anthracesen_US
dc.subjectSurface enhanced Raman scatteringen_US
dc.subjectLateral flow assayen_US
dc.titleHighly sensitive detection of high-risk bacterial pathogens using SERS-based lateral flow assay stripsen_US
dc.typeArticleen_US
dc.relation.volume270-
dc.identifier.doi10.1016/j.snb.2018.04.162-
dc.relation.page72-79-
dc.relation.journalSENSORS AND ACTUATORS B-CHEMICAL-
dc.contributor.googleauthorWang, Rui-
dc.contributor.googleauthorKim, Kihyun-
dc.contributor.googleauthorChoi, Namhyun-
dc.contributor.googleauthorWang, Xiaokun-
dc.contributor.googleauthorLee, Jiyoung-
dc.contributor.googleauthorJeon, Jun Ho-
dc.contributor.googleauthorRhie, Gi-eun-
dc.contributor.googleauthorChoo, Jaebum-
dc.relation.code2018001066-
dc.sector.campusS-
dc.sector.daehakGRADUATE SCHOOL[S]-
dc.sector.departmentDEPARTMENT OF BIONANOTECHNOLOGY-
dc.identifier.pidjbchoo-
dc.identifier.orcidhttp://orcid.org/0000-0003-3864-6459-
Appears in Collections:
GRADUATE SCHOOL[S](대학원) > BIONANOTECHNOLOGY(바이오나노학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE