Sensitive and reproducible detection of SARS-CoV-2 using SERS-based microdroplet sensor
DC Field | Value | Language |
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dc.contributor.author | Park, Sohyun | - |
dc.contributor.author | Jeon, Chang Su | - |
dc.contributor.author | Choi, Namhyun | - |
dc.contributor.author | Moon, Joung-Il | - |
dc.contributor.author | Lee, Kang Min | - |
dc.contributor.author | Pyun, Sung Hyun | - |
dc.contributor.author | Kang, Taejoon | - |
dc.contributor.author | Choo, Jaebum | - |
dc.date.accessioned | 2023-03-08T05:11:43Z | - |
dc.date.available | 2023-03-08T05:11:43Z | - |
dc.date.issued | 2022-10 | - |
dc.identifier.issn | 1385-8947 | - |
dc.identifier.issn | 1873-3212 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61208 | - |
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 SARSCoV-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.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ELSEVIER SCIENCE SA | - |
dc.title | Sensitive and reproducible detection of SARS-CoV-2 using SERS-based microdroplet sensor | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.cej.2022.137085 | - |
dc.identifier.bibliographicCitation | CHEMICAL ENGINEERING JOURNAL, v.446 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000805973600003 | - |
dc.identifier.scopusid | 2-s2.0-85131086212 | - |
dc.citation.title | CHEMICAL ENGINEERING JOURNAL | - |
dc.citation.volume | 446 | - |
dc.type.docType | Article | - |
dc.publisher.location | 스위스 | - |
dc.subject.keywordAuthor | Surface-enhanced Raman scattering | - |
dc.subject.keywordAuthor | Microdroplet sensor | - |
dc.subject.keywordAuthor | Magnetic bead | - |
dc.subject.keywordAuthor | SERS nanotag | - |
dc.subject.keywordAuthor | SARS-CoV-2 | - |
dc.subject.keywordPlus | ENHANCED RAMAN-SCATTERING | - |
dc.subject.keywordPlus | IMMUNOASSAY | - |
dc.subject.keywordPlus | DIAGNOSIS | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Environmental | - |
dc.relation.journalWebOfScienceCategory | Engineering, Chemical | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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