Surface-enhanced Raman scattering-based immunoassay for severe acute respiratory syndrome coronavirus 2open access
- Authors
- Cha, Hyunjung; Kim, Hyeran; Joung, Younju; Kang, Hyunju; Moon, Jeong; Jang, Hyowon; Park, Sohyun; Kwon, Hyung-Jun; Lee, In-Chul; Kim, Sunjoo; Yong, Dongeun; Yoon, Sun-Woo; Park, Sung-Gyu; Guk, Kyeonghye; Lim, Eun-Kyung; Park, Hyun Gyu; Choo, Jaebum; Jung, Juyeon; Kang, Taejoon
- Issue Date
- Apr-2022
- Publisher
- Pergamon Press Ltd.
- Keywords
- Antibody; Coronavirus disease 2019; Immunoassay; Nanoparticle; Surface-enhanced Raman scattering; Severe acute respiratory syndrome coronavirus 2
- Citation
- Biosensors and Bioelectronics, v.202
- Indexed
- SCIE
SCOPUS
- Journal Title
- Biosensors and Bioelectronics
- Volume
- 202
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/1382
- DOI
- 10.1016/j.bios.2022.114008
- ISSN
- 0956-5663
1873-4235
- Abstract
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected humans worldwide for over a year now. Although various tests have been developed for the detection of SARS-CoV-2, advanced sensing methods are required for the diagnosis, screening, and surveillance of coronavirus disease 2019 (COVID-19). Here, we report a surface-enhanced Raman scattering (SERS)-based immunoassay involving an antibody pair, SERS-active hollow Au nanoparticles (NPs), and magnetic beads for the detection of SARS-CoV-2. The selected antibody pair against the SARS-CoV-2 antigen, along with the magnetic beads, facilitates the accurate direct detection of the virus. The hollow Au NPs exhibit strong, reproducible SERS signals, allowing sensitive quantitative detection of SARS-CoV-2. This assay had detection limits of 2.56 fg/mL for the SARS-CoV-2 antigen and 3.4 plaque-forming units/mL for the SARS-CoV-2 lysates. Furthermore, it facilitated the identification of SARS-CoV-2 in human nasopharyngeal aspirates and diagnosis of COVID-19 within 30 min using a portable Raman device. Thus, this assay can be potentially used for the diagnosis and prevention of COVID-19.
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Collections - College of Medicine > Department of Medicine > Journal Articles

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