DC Field | Value | Language |
---|---|---|
dc.contributor.author | Q Yu | - |
dc.contributor.author | H D Trinh | - |
dc.contributor.author | Y Lee | - |
dc.contributor.author | Taejoon Kang | - |
dc.contributor.author | L Chen | - |
dc.contributor.author | S Yoon | - |
dc.contributor.author | J Choo | - |
dc.date.accessioned | 2023-02-24T16:32:52Z | - |
dc.date.available | 2023-02-24T16:32:52Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 0925-4005 | - |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/31107 | - |
dc.description.abstract | The sensitive detection of viruses is key to preventing the spread of infectious diseases. In this study, we develop a silica-encapsulated Au core-satellite (CS@SiO2) nanotag, which produces a strong and reproducible surface-enhanced Raman scattering (SERS) signal. The combination of SERS from the CS@SiO2 nanotags with enzyme-linked immunosorbent assay (ELISA) achieves a highly sensitive detection of SARS-CoV-2. The CS@SiO2 nanotag is constructed by assembling 32 nm Au nanoparticles (AuNPs) on a 75 nm AuNP. Then the core-satellite particles are encapsulated with SiO2 for facile surface modification and stability. The SERS-ELISA technique using the CS@SiO2 nanotags provides a great sensitivity, yielding a detection limit of 8.81 PFU mL-1, which is 10 times better than conventional ELISA and 100 times better than lateral flow assay strip method. SERS-ELISA is applied to 30 SARS-CoV-2 clinical samples and achieved 100% and 55% sensitivities for 15 and 9 positive samples with cycle thresholds < 30 and > 30, respectively. This new CS@SiO2-SERS-ELISA method is an innovative technique that can significantly reduce the false-negative diagnostic rate for SARS-CoV-2 and thereby contribute to overcoming the current pandemic crisis. | - |
dc.publisher | Elsevier | - |
dc.title | SERS-ELISA using silica-encapsulated Au core-satellite nanotags for sensitive detection of SARS-CoV-2 | - |
dc.title.alternative | SERS-ELISA using silica-encapsulated Au core-satellite nanotags for sensitive detection of SARS-CoV-2 | - |
dc.type | Article | - |
dc.citation.title | Sensors and Actuators B-Chemical | - |
dc.citation.number | 0 | - |
dc.citation.endPage | 133521 | - |
dc.citation.startPage | 133521 | - |
dc.citation.volume | 382 | - |
dc.contributor.affiliatedAuthor | Taejoon Kang | - |
dc.contributor.alternativeName | Yu | - |
dc.contributor.alternativeName | Trinh | - |
dc.contributor.alternativeName | 이연지 | - |
dc.contributor.alternativeName | 강태준 | - |
dc.contributor.alternativeName | Chen | - |
dc.contributor.alternativeName | 윤상운 | - |
dc.contributor.alternativeName | 주재범 | - |
dc.identifier.bibliographicCitation | Sensors and Actuators B-Chemical, vol. 382, pp. 133521-133521 | - |
dc.identifier.doi | 10.1016/j.snb.2023.133521 | - |
dc.subject.keyword | Surface-enhanced Raman scattering (SERS) | - |
dc.subject.keyword | SERS-ELISA | - |
dc.subject.keyword | SARS-CoV-2 | - |
dc.subject.keyword | Infectious disease | - |
dc.subject.keyword | Diagnostics | - |
dc.subject.local | Surface-enhanced Raman scattering | - |
dc.subject.local | surface-enhanced Raman scattering | - |
dc.subject.local | surface-enhanced raman scattering | - |
dc.subject.local | Surface-enhanced Raman Scattering | - |
dc.subject.local | Surface-enhanced Raman scattering (SERS) | - |
dc.subject.local | SERS-ELISA | - |
dc.subject.local | SARS-CoV-2 | - |
dc.subject.local | SARS-Cov-2 | - |
dc.subject.local | infectious disease | - |
dc.subject.local | Infectious diseases | - |
dc.subject.local | infectious diseaese | - |
dc.subject.local | infectious diseases | - |
dc.subject.local | Infectious disease | - |
dc.subject.local | Infectious Disease | - |
dc.subject.local | diagnostics | - |
dc.subject.local | Diagnostic | - |
dc.subject.local | Diagnostics | - |
dc.subject.local | diagnostic | - |
dc.description.journalClass | Y | - |
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