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A high-throughput fully automatic biosensing platform for efficient COVID-19 detection
We propose a label-free biosensor based on a porous silicon resonant microcavity and localized surface plasmon resonance. The biosensor detects SARS-CoV-2 antigen based on engineered trimeric angiotensin converting enzyme-2 binding protein, which is conserved across different variants. Robotic arms...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630290/ https://www.ncbi.nlm.nih.gov/pubmed/36347077 http://dx.doi.org/10.1016/j.bios.2022.114861 |
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author | Rong, Guoguang Zheng, Yuqiao Li, Xiangqing Guo, Mengzhun Su, Yi Bian, Sumin Dang, Bobo Chen, Yin Zhang, Yanjun Shen, Linhai Jin, Hui Yan, Renhong Wen, Liaoyong Zhu, Peixi Sawan, Mohamad |
author_facet | Rong, Guoguang Zheng, Yuqiao Li, Xiangqing Guo, Mengzhun Su, Yi Bian, Sumin Dang, Bobo Chen, Yin Zhang, Yanjun Shen, Linhai Jin, Hui Yan, Renhong Wen, Liaoyong Zhu, Peixi Sawan, Mohamad |
author_sort | Rong, Guoguang |
collection | PubMed |
description | We propose a label-free biosensor based on a porous silicon resonant microcavity and localized surface plasmon resonance. The biosensor detects SARS-CoV-2 antigen based on engineered trimeric angiotensin converting enzyme-2 binding protein, which is conserved across different variants. Robotic arms run the detection process including sample loading, incubation, sensor surface rinsing, and optical measurements using a portable spectrometer. Both the biosensor and the optical measurement system are readily scalable to accommodate testing a wide range of sample numbers. The limit of detection is 100 TCID(50/)ml. The detection time is 5 min, and the throughput of one single robotic site is up to 384 specimens in 30 min. The measurement interface requires little training, has standard operation, and therefore is suitable for widespread use in rapid and onsite COVID-19 screening or surveillance. |
format | Online Article Text |
id | pubmed-9630290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96302902022-11-03 A high-throughput fully automatic biosensing platform for efficient COVID-19 detection Rong, Guoguang Zheng, Yuqiao Li, Xiangqing Guo, Mengzhun Su, Yi Bian, Sumin Dang, Bobo Chen, Yin Zhang, Yanjun Shen, Linhai Jin, Hui Yan, Renhong Wen, Liaoyong Zhu, Peixi Sawan, Mohamad Biosens Bioelectron Article We propose a label-free biosensor based on a porous silicon resonant microcavity and localized surface plasmon resonance. The biosensor detects SARS-CoV-2 antigen based on engineered trimeric angiotensin converting enzyme-2 binding protein, which is conserved across different variants. Robotic arms run the detection process including sample loading, incubation, sensor surface rinsing, and optical measurements using a portable spectrometer. Both the biosensor and the optical measurement system are readily scalable to accommodate testing a wide range of sample numbers. The limit of detection is 100 TCID(50/)ml. The detection time is 5 min, and the throughput of one single robotic site is up to 384 specimens in 30 min. The measurement interface requires little training, has standard operation, and therefore is suitable for widespread use in rapid and onsite COVID-19 screening or surveillance. Elsevier B.V. 2023-01-15 2022-11-03 /pmc/articles/PMC9630290/ /pubmed/36347077 http://dx.doi.org/10.1016/j.bios.2022.114861 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Rong, Guoguang Zheng, Yuqiao Li, Xiangqing Guo, Mengzhun Su, Yi Bian, Sumin Dang, Bobo Chen, Yin Zhang, Yanjun Shen, Linhai Jin, Hui Yan, Renhong Wen, Liaoyong Zhu, Peixi Sawan, Mohamad A high-throughput fully automatic biosensing platform for efficient COVID-19 detection |
title | A high-throughput fully automatic biosensing platform for efficient COVID-19 detection |
title_full | A high-throughput fully automatic biosensing platform for efficient COVID-19 detection |
title_fullStr | A high-throughput fully automatic biosensing platform for efficient COVID-19 detection |
title_full_unstemmed | A high-throughput fully automatic biosensing platform for efficient COVID-19 detection |
title_short | A high-throughput fully automatic biosensing platform for efficient COVID-19 detection |
title_sort | high-throughput fully automatic biosensing platform for efficient covid-19 detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630290/ https://www.ncbi.nlm.nih.gov/pubmed/36347077 http://dx.doi.org/10.1016/j.bios.2022.114861 |
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