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Novel aerosol detection platform for SARS‑CoV‑2: Based on specific magnetic nanoparticles adsorption sampling and digital droplet PCR detection
The SARS‑CoV‑2 virus is released from an infectious source (such as a sick person) and adsorbed on aerosols, which can form pathogenic microorganism aerosols, which can affect human health through airborne transmission. Efficient sampling and accurate detection of microorganisms in aerosols are the...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V. on behalf of Chinese Chemical Society and Institute of Materia Medica, Chinese Academy of Medical Sciences.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308147/ https://www.ncbi.nlm.nih.gov/pubmed/35911611 http://dx.doi.org/10.1016/j.cclet.2022.07.044 |
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author | Chen, Hui Ma, Xinye Zhang, Xinyu Hu, Gui Deng, Yan Li, Song Chen, Zhu He, Nongyue Wu, Yanqi Jiang, Zhihong |
author_facet | Chen, Hui Ma, Xinye Zhang, Xinyu Hu, Gui Deng, Yan Li, Song Chen, Zhu He, Nongyue Wu, Yanqi Jiang, Zhihong |
author_sort | Chen, Hui |
collection | PubMed |
description | The SARS‑CoV‑2 virus is released from an infectious source (such as a sick person) and adsorbed on aerosols, which can form pathogenic microorganism aerosols, which can affect human health through airborne transmission. Efficient sampling and accurate detection of microorganisms in aerosols are the premise and basis for studying their properties and evaluating their hazard. In this study, we built a set of sub-micron aerosol detection platform, and carried out a simulation experiment on the SARS‑CoV‑2 aerosol in the air by wet-wall cyclone combined with immunomagnetic nanoparticle adsorption sampling and ddPCR. The feasibility of the system in aerosol detection was verified, and the influencing factors in the detection process were experimentally tested. As a result, the sampling efficiency was 29.77%, and extraction efficiency was 98.57%. The minimum detection limit per unit volume of aerosols was 250 copies (10(2) copies/mL, concentration factor 2.5). |
format | Online Article Text |
id | pubmed-9308147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Published by Elsevier B.V. on behalf of Chinese Chemical Society and Institute of Materia Medica, Chinese Academy of Medical Sciences. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93081472022-07-25 Novel aerosol detection platform for SARS‑CoV‑2: Based on specific magnetic nanoparticles adsorption sampling and digital droplet PCR detection Chen, Hui Ma, Xinye Zhang, Xinyu Hu, Gui Deng, Yan Li, Song Chen, Zhu He, Nongyue Wu, Yanqi Jiang, Zhihong Chin Chem Lett Article The SARS‑CoV‑2 virus is released from an infectious source (such as a sick person) and adsorbed on aerosols, which can form pathogenic microorganism aerosols, which can affect human health through airborne transmission. Efficient sampling and accurate detection of microorganisms in aerosols are the premise and basis for studying their properties and evaluating their hazard. In this study, we built a set of sub-micron aerosol detection platform, and carried out a simulation experiment on the SARS‑CoV‑2 aerosol in the air by wet-wall cyclone combined with immunomagnetic nanoparticle adsorption sampling and ddPCR. The feasibility of the system in aerosol detection was verified, and the influencing factors in the detection process were experimentally tested. As a result, the sampling efficiency was 29.77%, and extraction efficiency was 98.57%. The minimum detection limit per unit volume of aerosols was 250 copies (10(2) copies/mL, concentration factor 2.5). Published by Elsevier B.V. on behalf of Chinese Chemical Society and Institute of Materia Medica, Chinese Academy of Medical Sciences. 2023-01 2022-07-23 /pmc/articles/PMC9308147/ /pubmed/35911611 http://dx.doi.org/10.1016/j.cclet.2022.07.044 Text en © 2022 Published by Elsevier B.V. on behalf of Chinese Chemical Society and Institute of Materia Medica, Chinese Academy of Medical Sciences. 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 Chen, Hui Ma, Xinye Zhang, Xinyu Hu, Gui Deng, Yan Li, Song Chen, Zhu He, Nongyue Wu, Yanqi Jiang, Zhihong Novel aerosol detection platform for SARS‑CoV‑2: Based on specific magnetic nanoparticles adsorption sampling and digital droplet PCR detection |
title | Novel aerosol detection platform for SARS‑CoV‑2: Based on specific magnetic nanoparticles adsorption sampling and digital droplet PCR detection |
title_full | Novel aerosol detection platform for SARS‑CoV‑2: Based on specific magnetic nanoparticles adsorption sampling and digital droplet PCR detection |
title_fullStr | Novel aerosol detection platform for SARS‑CoV‑2: Based on specific magnetic nanoparticles adsorption sampling and digital droplet PCR detection |
title_full_unstemmed | Novel aerosol detection platform for SARS‑CoV‑2: Based on specific magnetic nanoparticles adsorption sampling and digital droplet PCR detection |
title_short | Novel aerosol detection platform for SARS‑CoV‑2: Based on specific magnetic nanoparticles adsorption sampling and digital droplet PCR detection |
title_sort | novel aerosol detection platform for sars‑cov‑2: based on specific magnetic nanoparticles adsorption sampling and digital droplet pcr detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308147/ https://www.ncbi.nlm.nih.gov/pubmed/35911611 http://dx.doi.org/10.1016/j.cclet.2022.07.044 |
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