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Discrimination and isolation of the virus from free RNA fragments for the highly sensitive measurement of SARS-CoV-2 abundance on surfaces using a graphene oxide nano surface

It is highly important to sensitively measure the abundance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on various surfaces. Here, we present a nucleic acid-based detection method consisting of a new sample preparation protocol that isolates only viruses, not the free RNA fragmen...

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Autores principales: Yoo, Hyun Jin, Li, Yun Guang, Cui, Wen Ying, Chung, Wonseok, Shin, Yong-Beom, Kim, Yeon-Sook, Baek, Changyoon, Min, Junhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521082/
https://www.ncbi.nlm.nih.gov/pubmed/34661769
http://dx.doi.org/10.1186/s40580-021-00281-8
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author Yoo, Hyun Jin
Li, Yun Guang
Cui, Wen Ying
Chung, Wonseok
Shin, Yong-Beom
Kim, Yeon-Sook
Baek, Changyoon
Min, Junhong
author_facet Yoo, Hyun Jin
Li, Yun Guang
Cui, Wen Ying
Chung, Wonseok
Shin, Yong-Beom
Kim, Yeon-Sook
Baek, Changyoon
Min, Junhong
author_sort Yoo, Hyun Jin
collection PubMed
description It is highly important to sensitively measure the abundance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on various surfaces. Here, we present a nucleic acid-based detection method consisting of a new sample preparation protocol that isolates only viruses, not the free RNA fragments already present on the surfaces of indoor human-inhabited environments, using a graphene oxide-coated microbead filter. Wet wipes (100 cm(2)), not cotton swabs, were used to collect viruses from environmental surfaces with large areas, and viruses were concentrated and separated with a graphene oxide-coated microbead filter. Viral RNA from virus was recovered 88.10 ± 8.03% from the surface and free RNA fragment was removed by 99.75 ± 0.19% from the final eluted solution. When we tested the developed method under laboratory conditions, a 10-fold higher viral detection sensitivity (Detection limit: 1 pfu/100 cm(2)) than the current commercial protocol was observed. Using our new sample preparation protocol, we also confirmed that the virus was effectively removed from surfaces after chemical disinfection; we were unable to measure the disinfection efficiency using the current commercial protocol because it cannot distinguish between viral RNA and free RNA fragments. Finally, we investigated the presence of SARS-CoV-2 and bacteria in 12 individual negative pressure wards in which patients with SARS-CoV-2 infection had been hospitalized. Bacteria (based on 16 S DNA) were found in all samples collected from patient rooms; however, SARS-CoV-2 was mainly detected in rooms shared by two patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40580-021-00281-8.
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spelling pubmed-85210822021-10-18 Discrimination and isolation of the virus from free RNA fragments for the highly sensitive measurement of SARS-CoV-2 abundance on surfaces using a graphene oxide nano surface Yoo, Hyun Jin Li, Yun Guang Cui, Wen Ying Chung, Wonseok Shin, Yong-Beom Kim, Yeon-Sook Baek, Changyoon Min, Junhong Nano Converg Full Paper It is highly important to sensitively measure the abundance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on various surfaces. Here, we present a nucleic acid-based detection method consisting of a new sample preparation protocol that isolates only viruses, not the free RNA fragments already present on the surfaces of indoor human-inhabited environments, using a graphene oxide-coated microbead filter. Wet wipes (100 cm(2)), not cotton swabs, were used to collect viruses from environmental surfaces with large areas, and viruses were concentrated and separated with a graphene oxide-coated microbead filter. Viral RNA from virus was recovered 88.10 ± 8.03% from the surface and free RNA fragment was removed by 99.75 ± 0.19% from the final eluted solution. When we tested the developed method under laboratory conditions, a 10-fold higher viral detection sensitivity (Detection limit: 1 pfu/100 cm(2)) than the current commercial protocol was observed. Using our new sample preparation protocol, we also confirmed that the virus was effectively removed from surfaces after chemical disinfection; we were unable to measure the disinfection efficiency using the current commercial protocol because it cannot distinguish between viral RNA and free RNA fragments. Finally, we investigated the presence of SARS-CoV-2 and bacteria in 12 individual negative pressure wards in which patients with SARS-CoV-2 infection had been hospitalized. Bacteria (based on 16 S DNA) were found in all samples collected from patient rooms; however, SARS-CoV-2 was mainly detected in rooms shared by two patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40580-021-00281-8. Springer Singapore 2021-10-18 /pmc/articles/PMC8521082/ /pubmed/34661769 http://dx.doi.org/10.1186/s40580-021-00281-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Full Paper
Yoo, Hyun Jin
Li, Yun Guang
Cui, Wen Ying
Chung, Wonseok
Shin, Yong-Beom
Kim, Yeon-Sook
Baek, Changyoon
Min, Junhong
Discrimination and isolation of the virus from free RNA fragments for the highly sensitive measurement of SARS-CoV-2 abundance on surfaces using a graphene oxide nano surface
title Discrimination and isolation of the virus from free RNA fragments for the highly sensitive measurement of SARS-CoV-2 abundance on surfaces using a graphene oxide nano surface
title_full Discrimination and isolation of the virus from free RNA fragments for the highly sensitive measurement of SARS-CoV-2 abundance on surfaces using a graphene oxide nano surface
title_fullStr Discrimination and isolation of the virus from free RNA fragments for the highly sensitive measurement of SARS-CoV-2 abundance on surfaces using a graphene oxide nano surface
title_full_unstemmed Discrimination and isolation of the virus from free RNA fragments for the highly sensitive measurement of SARS-CoV-2 abundance on surfaces using a graphene oxide nano surface
title_short Discrimination and isolation of the virus from free RNA fragments for the highly sensitive measurement of SARS-CoV-2 abundance on surfaces using a graphene oxide nano surface
title_sort discrimination and isolation of the virus from free rna fragments for the highly sensitive measurement of sars-cov-2 abundance on surfaces using a graphene oxide nano surface
topic Full Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521082/
https://www.ncbi.nlm.nih.gov/pubmed/34661769
http://dx.doi.org/10.1186/s40580-021-00281-8
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