Your browser doesn't support javascript.
loading
PCR-like performance of rapid test with permselective tunable nanotrap.
Park, Seong Jun; Lee, Seungmin; Lee, Dongtak; Lee, Na Eun; Park, Jeong Soo; Hong, Ji Hye; Jang, Jae Won; Kim, Hyunji; Roh, Seokbeom; Lee, Gyudo; Lee, Dongho; Cho, Sung-Yeon; Park, Chulmin; Lee, Dong-Gun; Lee, Raeseok; Nho, Dukhee; Yoon, Dae Sung; Yoo, Yong Kyoung; Lee, Jeong Hoon.
  • Park SJ; Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea.
  • Lee S; Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea.
  • Lee D; School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea.
  • Lee NE; School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea.
  • Park JS; Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea.
  • Hong JH; Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea.
  • Jang JW; Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea.
  • Kim H; Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea.
  • Roh S; School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea.
  • Lee G; School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea.
  • Lee D; Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02841, Republic of Korea.
  • Cho SY; School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea.
  • Park C; Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02841, Republic of Korea.
  • Lee DG; Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea.
  • Lee R; Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Sejong, 30019, Korea.
  • Nho D; Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea.
  • Yoon DS; Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Sejong, 30019, Korea.
  • Yoo YK; CALTH Inc., Changeop-ro 54, Seongnam, Gyeonggi, 13449, Republic of Korea.
  • Lee JH; Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Nat Commun ; 14(1): 1520, 2023 03 18.
Article en En | MEDLINE | ID: mdl-36934093
ABSTRACT
Highly sensitive rapid testing for COVID-19 is essential for minimizing virus transmission, especially before the onset of symptoms and in asymptomatic cases. Here, we report bioengineered enrichment tools for lateral flow assays (LFAs) with enhanced sensitivity and specificity (BEETLES2), achieving enrichment of SARS-CoV-2 viruses, nucleocapsid (N) proteins and immunoglobulin G (IgG) with 3-minute operation. The limit of detection is improved up to 20-fold. We apply this method to clinical samples, including 83% with either intermediate (35%) or low viral loads (48%), collected from 62 individuals (n = 42 for positive and n = 20 for healthy controls). We observe diagnostic sensitivity, specificity, and accuracy of 88.1%, 100%, and 91.9%, respectively, compared with commercial LFAs alone achieving 14.29%, 100%, and 41.94%, respectively. BEETLES2, with permselectivity and tunability, can enrich the SARS-CoV-2 virus, N proteins, and IgG in the nasopharyngeal/oropharyngeal swab, saliva, and blood serum, enabling reliable and sensitive point-of-care testing, facilitating fast early diagnosis.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article