DC Field | Value | Language |
---|---|---|
dc.contributor.author | Y Joung | - |
dc.contributor.author | K Kim | - |
dc.contributor.author | S Lee | - |
dc.contributor.author | B S Chun | - |
dc.contributor.author | S Lee | - |
dc.contributor.author | J Hwang | - |
dc.contributor.author | S Choi | - |
dc.contributor.author | Taejoon Kang | - |
dc.contributor.author | M K Lee | - |
dc.contributor.author | L Chen | - |
dc.contributor.author | J Choo | - |
dc.date.accessioned | 2022-11-30T16:33:36Z | - |
dc.date.available | 2022-11-30T16:33:36Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 2379-3694 | - |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/30671 | - |
dc.description.abstract | In early 2022, the number of people infected with the highly contagious mutant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), called Omicron, was increasing worldwide. Therefore, several countries approved the lateral flow assay (LFA) strip as a diagnostic method for confirming SARS-CoV-2 instead of reverse transcription-polymerase chain reaction (RT-PCR), which takes a long time to generate the results. However, owing to the limitation of detection sensitivity, commercial LFA strips have high false-negative diagnosis rates for patients with low virus concentrations. Therefore, in this study, we developed a portable surface-enhanced Raman scattering (SERS)-LFA reader based on localized surface plasmon effects to solve the sensitivity problem of the commercial LFA strip. We tested 54 clinical samples using this portable SERS-LFA reader, which generated 49 positive and 5 negative results. Out of the 49 positive results, SERS-LFA classified only 2 as false negative, while the commercial LFA classified 21 as false negative. This confirmed that the false-negative rate had significantly improved compared to that of commercial LFA strips. We believe that the proposed SERS-LFA system can be utilized as a point-of-care diagnostic system to quickly and accurately determine a virus infection that could spread significantly within a short period. | - |
dc.publisher | Amer Chem Soc | - |
dc.title | Rapid and accurate on-site immunodiagnostics of highly contagious severe acute respiratory syndrome coronavirus 2 using portable surface-enhanced raman scattering-lateral flow assay reader | - |
dc.title.alternative | Rapid and accurate on-site immunodiagnostics of highly contagious severe acute respiratory syndrome coronavirus 2 using portable surface-enhanced raman scattering-lateral flow assay reader | - |
dc.type | Article | - |
dc.citation.title | ACS Sensors | - |
dc.citation.number | 11 | - |
dc.citation.endPage | 3480 | - |
dc.citation.startPage | 3470 | - |
dc.citation.volume | 7 | - |
dc.contributor.affiliatedAuthor | Taejoon Kang | - |
dc.contributor.alternativeName | 정연주 | - |
dc.contributor.alternativeName | 김기현 | - |
dc.contributor.alternativeName | 이승우 | - |
dc.contributor.alternativeName | 천병선 | - |
dc.contributor.alternativeName | 이상엽 | - |
dc.contributor.alternativeName | 황준기 | - |
dc.contributor.alternativeName | 최수지 | - |
dc.contributor.alternativeName | 강태준 | - |
dc.contributor.alternativeName | 이미경 | - |
dc.contributor.alternativeName | Chen | - |
dc.contributor.alternativeName | 추재범 | - |
dc.identifier.bibliographicCitation | ACS Sensors, vol. 7, no. 11, pp. 3470-3480 | - |
dc.identifier.doi | 10.1021/acssensors.2c01808 | - |
dc.subject.keyword | Surface-enhanced Raman scattering | - |
dc.subject.keyword | SERS-LFA | - |
dc.subject.keyword | SARS-CoV-2 | - |
dc.subject.keyword | Portable Raman reader | - |
dc.subject.keyword | Immunoassay | - |
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-LFA | - |
dc.subject.local | SARS-CoV-2 | - |
dc.subject.local | SARS-Cov-2 | - |
dc.subject.local | Portable Raman reader | - |
dc.subject.local | Immunoassay | - |
dc.subject.local | Immunoassays | - |
dc.subject.local | immunoassay | - |
dc.description.journalClass | Y | - |
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