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

doi:10.1021/acssensors.2c01808

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室

	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
	Joung, Younju 7; Kim, Kihyun 7; Lee, Seungwoo 6; Chun, Byung-Seon 6; Lee, Sangyeop 5; Hwang, Joonki 5; Choi, Suji 5; Kang, Taejoon 1,4; Lee, Mi-Kyung 3; Chen, Lingxin 2
刊名	ACS SENSORS
	2022-11-14
页码	11
关键词	surface-enhanced Raman scattering SERS-LFA SARS-CoV-2 portable Raman reader immunoassay
ISSN号	2379-3694
DOI	10.1021/acssensors.2c01808
通讯作者	Kang, Taejoon(kangtaejoon@kribb.re.kr) ; Lee, Mi-Kyung(cpworld@cau.ac.kr) ; Chen, Lingxin(lxchen@yic.ac.cn) ; Choo, Jaebum(jbchoo@cau.ac.kr)
英文摘要	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.
WOS关键词	POINT
WOS研究方向	Chemistry ; Science & Technology - Other Topics
语种	英语
WOS记录号	WOS:000885390200001
资助机构	National Research Foundation of Korea ; government-wide R&D fund for the research of infectious diseases in Korea ; KRIBB Research Initiative Program ; National Nature Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/31921]
专题	烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
通讯作者	Kang, Taejoon; Lee, Mi-Kyung; Chen, Lingxin; Choo, Jaebum
作者单位	1.Sungkyunkwan Univ, Sch Pharm, Suwon 16419, South Korea 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China 3.Chung Ang Univ, Coll Med, Dept Lab Med, Seoul 06973, South Korea 4.Korea Res Inst Biosci & Biotechnol KRIBB, Res Ctr, Bionanotechnol, Daejeon 34141, South Korea 5.SG Med Inc, Dept Innovat Diagnost, Seoul 05548, South Korea 6.Nanoscope Syst Inc, Daejeon 34016, South Korea 7.Chung Ang Univ, Dept Chem, Seoul 06974, South Korea
推荐引用方式 GB/T 7714	Joung, Younju,Kim, Kihyun,Lee, Seungwoo,et al. 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[J]. ACS SENSORS,2022:11.
APA	Joung, Younju.,Kim, Kihyun.,Lee, Seungwoo.,Chun, Byung-Seon.,Lee, Sangyeop.,...&Choo, Jaebum.(2022).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.ACS SENSORS,11.
MLA	Joung, Younju,et al."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".ACS SENSORS (2022):11.