Detailed Information

Cited 5 time in webofscience Cited 4 time in scopus
Metadata Downloads

Advancing SARS-CoV-2 Variant Detection with High Affinity Monoclonal Antibodies and Plasmonic Nanostructure

Full metadata record
DC Field Value Language
dc.contributor.authorRyu, Jea Sung-
dc.contributor.authorLee, Soo Hyun-
dc.contributor.authorKim, Hyeran-
dc.contributor.authorKang, Hyunju-
dc.contributor.authorLi, Pei-
dc.contributor.authorLee, Joo Hoon-
dc.contributor.authorJang, Hyowon-
dc.contributor.authorKim, Sunjoo-
dc.contributor.authorKwon, Hyung-Jun-
dc.contributor.authorJung, Ho Sang-
dc.contributor.authorJung, Yongwon-
dc.contributor.authorLim, Eun-Kyung-
dc.contributor.authorJung, Juyeon-
dc.contributor.authorPark, Sung-Gyu-
dc.contributor.authorKang, Taejoon-
dc.date.accessioned2024-12-03T04:30:55Z-
dc.date.available2024-12-03T04:30:55Z-
dc.date.issued2024-11-
dc.identifier.issn1616-301X-
dc.identifier.issn1616-3028-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/73997-
dc.description.abstractA nanoplasmonic biosensor for the precise detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by leveraging advances in nanostructured sensing materials and highly selective monoclonal antibodies is presented. The sensor integrates plasmonic Au nanostructures optimized for surface-enhanced Raman scattering (SERS), enhancing sensitivity through unique light interactions at the nanoscale. Coupled with exclusive antibodies that specifically target SARS-CoV-2 and its evolving variants, this sensor demonstrates remarkable selectivity and versatility. Validated with 270 clinical samples, it demonstrates a sensitivity of 98.9% and specificity of 100%. More importantly, the virus in nasopharyngeal swab samples collected over 3 years, marking the long-term, large-scale clinical validation of the nanoplasmonic biosensor for SARS-CoV-2 is been successfully detected. Furthermore, the integration of this sensor with face masks enables the detection of airborne SARS-CoV-2, highlighting its potential for routine management of coronavirus disease 2019 (COVID-19). © 2024 The Author(s). Advanced Functional Materials published by Wiley-VCH GmbH.-
dc.language영어-
dc.language.isoENG-
dc.publisherJohn Wiley and Sons Inc-
dc.titleAdvancing SARS-CoV-2 Variant Detection with High Affinity Monoclonal Antibodies and Plasmonic Nanostructure-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1002/adfm.202405340-
dc.identifier.scopusid2-s2.0-85204157271-
dc.identifier.wosid001312704700001-
dc.identifier.bibliographicCitationAdvanced Functional Materials, v.34, no.45-
dc.citation.titleAdvanced Functional Materials-
dc.citation.volume34-
dc.citation.number45-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.subject.keywordPlusSERS-
dc.subject.keywordPlusDIAGNOSIS-
dc.subject.keywordPlusBIOSENSOR-
dc.subject.keywordPlusDISCOVERY-
dc.subject.keywordAuthorCOVID-19-
dc.subject.keywordAuthormonoclonal antibody-
dc.subject.keywordAuthorplasmonic nanostructure-
dc.subject.keywordAuthorSARS-CoV-2-
dc.subject.keywordAuthorsurface-enhanced Raman scattering-
dc.subject.keywordAuthorvariants-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medicine > Journal Articles

qrcode

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

Related Researcher

Researcher Kim, Sun Joo photo

Kim, Sun Joo
의과대학 (의학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE