DC Field | Value | Language |
---|---|---|
dc.contributor.author | S Park | - |
dc.contributor.author | C S Jeon | - |
dc.contributor.author | N Choi | - |
dc.contributor.author | J I Moon | - |
dc.contributor.author | K M Lee | - |
dc.contributor.author | SH Pyun | - |
dc.contributor.author | Taejoon Kang | - |
dc.contributor.author | J Choo | - |
dc.date.accessioned | 2022-05-30T15:31:34Z | - |
dc.date.available | 2022-05-30T15:31:34Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 1385-8947 | - |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/26082 | - |
dc.description.abstract | Surface-enhanced Raman scattering (SERS)-based assays have been recently developed to overcome the low detection sensitivity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SERS-based assays using magnetic beads in microtubes slightly improved the limit of detection (LoD) for SARS-CoV-2. However, the sensitivity and reproducibility of the method are still insufficient for reliable SARS-CoV-2 detection. In this study, we developed a SERS-based microdroplet sensor to dramatically improve the LoD and reproducibility of SARS-CoV-2 detection. Raman signals were measured for SERS nanotags in 140 droplets passing through a laser focal volume fixed at the center of the channel for 15 s. A comparison of the Raman signals of SERS nanotags measured in a microtube with those measured for multiple droplets in the microfluidic channel revealed that the LoD and coefficient of variation significantly improved from 36 to 0.22 PFU/mL and 21.2% to 1.79%, respectively. This improvement resulted from the ensemble average effects because the signals were measured for SERS nanotags in multiple droplets. Moreover, the total assay time decreased from 30 to 10 min. A clinical test was performed on patient samples to evaluate the clinical efficacy of the SERS-based microdroplet sensor. The assay results agreed well with those measured by the reverse transcription-polymerase chain reaction (RT-PCR) method. The proposed SERS-based microdroplet sensor is expected to be used as a new point-of-care diagnostic platform for quick and accurate detection of SARS-CoV-2 in the field. | - |
dc.publisher | Elsevier | - |
dc.title | Sensitive and reproducible detection of SARS-CoV-2 using SERS-based microdroplet sensor | - |
dc.title.alternative | Sensitive and reproducible detection of SARS-CoV-2 using SERS-based microdroplet sensor | - |
dc.type | Article | - |
dc.citation.title | Chemical Engineering Journal | - |
dc.citation.number | 0 | - |
dc.citation.endPage | 137085 | - |
dc.citation.startPage | 137085 | - |
dc.citation.volume | 446 | - |
dc.contributor.affiliatedAuthor | Taejoon Kang | - |
dc.contributor.alternativeName | 박소현 | - |
dc.contributor.alternativeName | 전창수 | - |
dc.contributor.alternativeName | 최남현 | - |
dc.contributor.alternativeName | 문정일 | - |
dc.contributor.alternativeName | 이강민 | - |
dc.contributor.alternativeName | 변성현 | - |
dc.contributor.alternativeName | 강태준 | - |
dc.contributor.alternativeName | 주재범 | - |
dc.identifier.bibliographicCitation | Chemical Engineering Journal, vol. 446, pp. 137085-137085 | - |
dc.identifier.doi | 10.1016/j.cej.2022.137085 | - |
dc.subject.keyword | Surface-enhanced Raman scattering | - |
dc.subject.keyword | Microdroplet sensor | - |
dc.subject.keyword | Magnetic bead | - |
dc.subject.keyword | SERS nanotag | - |
dc.subject.keyword | SARS-CoV-2 | - |
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 | Microdroplet sensor | - |
dc.subject.local | Magnetic bead | - |
dc.subject.local | magnetic bead | - |
dc.subject.local | SERS nano tag | - |
dc.subject.local | SERS nanotag | - |
dc.subject.local | SARS-CoV-2 | - |
dc.subject.local | SARS-Cov-2 | - |
dc.description.journalClass | Y | - |
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