Detailed Information

Cited 19 time in webofscience Cited 20 time in scopus
Metadata Downloads

The microfluidic chip module for the detection of murine norovirus in oysters using charge switchable micro-bead beating

Full metadata record
DC Field Value Language
dc.contributor.authorChung, Sung Hee-
dc.contributor.authorBaek, Changyoon-
dc.contributor.authorCong, Vu Tan-
dc.contributor.authorMin, Junhong-
dc.date.available2019-03-08T17:37:46Z-
dc.date.issued2015-05-
dc.identifier.issn0956-5663-
dc.identifier.issn1873-4235-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/9560-
dc.description.abstractSample preparation has recently been an issue in the detection of food poisoning pathogens, particularly viruses such as norovirus (NoV), in food because of the complexity of foods and raw fresh materials. Here, we demonstrate a total analytical microfluidic chip module to automatically perform a series of essential processes (cell concentration, lysis (RNA extraction), nucleic acid amplification, and detection) for the fast but sensitive detection of norovirus in oysters. The murine NoV spiked oyster was stomached using a standard method. The supernatant was first loaded into a shape switchable sample preparation chamber consisting of charge switchable micro-beads. Murine NoV, which was adsorbed on microbeads by electrostatic physisorption, was lysed using bead beating. The extracted RNA was transferred to the detection chamber to be amplified using Nucleic Acid Sequence Based Amplification (NASBA). The optimal surface functionality, size, and number of microbeads were achieved for the virus concentration and the stable RNA extraction in the shape-switchable micro-channel. As a result, murine NoV in a single oyster was successfully detected within 4 h by the microfluidic chip developed here, and could be directly applied to the large volume environmental sample as well as the food sample. (C) 2014 Elsevier B.V. All rights reserved.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherELSEVIER ADVANCED TECHNOLOGY-
dc.titleThe microfluidic chip module for the detection of murine norovirus in oysters using charge switchable micro-bead beating-
dc.typeArticle-
dc.identifier.doi10.1016/j.bios.2014.09.083-
dc.identifier.bibliographicCitationBIOSENSORS & BIOELECTRONICS, v.67, pp 625 - 633-
dc.description.isOpenAccessN-
dc.identifier.wosid000350076900092-
dc.identifier.scopusid2-s2.0-84922252637-
dc.citation.endPage633-
dc.citation.startPage625-
dc.citation.titleBIOSENSORS & BIOELECTRONICS-
dc.citation.volume67-
dc.type.docTypeArticle-
dc.publisher.location영국-
dc.subject.keywordAuthorCharge switchable microbead-
dc.subject.keywordAuthorShape switchable microchannel-
dc.subject.keywordAuthorNorovirus-
dc.subject.keywordAuthorOyster-
dc.subject.keywordAuthorBead-beating-
dc.subject.keywordAuthorNASBA-
dc.subject.keywordPlusHEPATITIS-A VIRUS-
dc.subject.keywordPlusFOODBORNE PATHOGENS-
dc.subject.keywordPlusCONTAMINATED OYSTERS-
dc.subject.keywordPlusSIGNAL AMPLIFICATION-
dc.subject.keywordPlusUNITED-STATES-
dc.subject.keywordPlusDNA DETECTION-
dc.subject.keywordPlusTUBE CHAMBER-
dc.subject.keywordPlusGLASS-BEADS-
dc.subject.keywordPlusPCR-
dc.subject.keywordPlusNANOPARTICLES-
dc.relation.journalResearchAreaBiophysics-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaElectrochemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryBiophysics-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryElectrochemistry-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of ICT Engineering > School of Integrative Engineering > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Min, Junhong photo

Min, Junhong
창의ICT공과대학 (융합공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE