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Hybridization-driven fluorometric platform based on metal-organic frameworks for the identification of the highly homologous viruses
A novel fluorometric strategy for the simultaneous identification of SARS-CoV-2 and SARS-CoV was successfully established based on a hybridization-induced signal on–off-on mechanism. Here, one part of the probe (P1) of SARS-CoV-2 (P = P1/P2) is partially related to SARS-CoV, while the other part (P2...
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/PMC9824912/ https://www.ncbi.nlm.nih.gov/pubmed/36643618 http://dx.doi.org/10.1016/j.microc.2023.108403 |
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author | Yang, Wenjie Li, Dong Chen, Lili You, Shuang Chen, Lihua |
author_facet | Yang, Wenjie Li, Dong Chen, Lili You, Shuang Chen, Lihua |
author_sort | Yang, Wenjie |
collection | PubMed |
description | A novel fluorometric strategy for the simultaneous identification of SARS-CoV-2 and SARS-CoV was successfully established based on a hybridization-induced signal on–off-on mechanism. Here, one part of the probe (P1) of SARS-CoV-2 (P = P1/P2) is partially related to SARS-CoV, while the other part (P2) is completely irrelevant to SARS-CoV. They as smart gatekeepers were anchored on NH(2)-MIL-88(Fe) (MOF@P1/P2) to turn off its catalytic performance. Only the specific SARS-CoV-2 genetic target can strongly restore the peroxidase-like activity of MOF@P1/P2. In the presence of o-phenylenediamine, SARS-CoV-2 can be efficiently detected with high sensitivity, accuracy, and reliability. This strategy demonstrated excellent analytical characteristics with a linear range (10(-9) M ∼ 10(-6) M) under the limit of detection of 0.11 nM not only in buffer but also in 10 % serum, which partly shows its practicability. Most importantly, with the help of the auxiliary test of MOF@P1 and MOF@P2, SARS-CoV-2 and SARS-CoV can be efficiently quantified and distinguished. This novel strategy has provided a breakthrough in the development of such identification. In the whole process, only a simple one-step experiment was involved. This circumvents the trouble of pretreatment experiments in traditional methods, including complex enzymatic mixtures, specialized experimental equipment, many primers optimization as well as reverse transcriptase. Additionally, this novel strategy is rapid, low-cost, and easy-to-use tools. |
format | Online Article Text |
id | pubmed-9824912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98249122023-01-09 Hybridization-driven fluorometric platform based on metal-organic frameworks for the identification of the highly homologous viruses Yang, Wenjie Li, Dong Chen, Lili You, Shuang Chen, Lihua Microchem J Article A novel fluorometric strategy for the simultaneous identification of SARS-CoV-2 and SARS-CoV was successfully established based on a hybridization-induced signal on–off-on mechanism. Here, one part of the probe (P1) of SARS-CoV-2 (P = P1/P2) is partially related to SARS-CoV, while the other part (P2) is completely irrelevant to SARS-CoV. They as smart gatekeepers were anchored on NH(2)-MIL-88(Fe) (MOF@P1/P2) to turn off its catalytic performance. Only the specific SARS-CoV-2 genetic target can strongly restore the peroxidase-like activity of MOF@P1/P2. In the presence of o-phenylenediamine, SARS-CoV-2 can be efficiently detected with high sensitivity, accuracy, and reliability. This strategy demonstrated excellent analytical characteristics with a linear range (10(-9) M ∼ 10(-6) M) under the limit of detection of 0.11 nM not only in buffer but also in 10 % serum, which partly shows its practicability. Most importantly, with the help of the auxiliary test of MOF@P1 and MOF@P2, SARS-CoV-2 and SARS-CoV can be efficiently quantified and distinguished. This novel strategy has provided a breakthrough in the development of such identification. In the whole process, only a simple one-step experiment was involved. This circumvents the trouble of pretreatment experiments in traditional methods, including complex enzymatic mixtures, specialized experimental equipment, many primers optimization as well as reverse transcriptase. Additionally, this novel strategy is rapid, low-cost, and easy-to-use tools. Elsevier B.V. 2023-04 2023-01-07 /pmc/articles/PMC9824912/ /pubmed/36643618 http://dx.doi.org/10.1016/j.microc.2023.108403 Text en © 2023 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 Yang, Wenjie Li, Dong Chen, Lili You, Shuang Chen, Lihua Hybridization-driven fluorometric platform based on metal-organic frameworks for the identification of the highly homologous viruses |
title | Hybridization-driven fluorometric platform based on metal-organic frameworks for the identification of the highly homologous viruses |
title_full | Hybridization-driven fluorometric platform based on metal-organic frameworks for the identification of the highly homologous viruses |
title_fullStr | Hybridization-driven fluorometric platform based on metal-organic frameworks for the identification of the highly homologous viruses |
title_full_unstemmed | Hybridization-driven fluorometric platform based on metal-organic frameworks for the identification of the highly homologous viruses |
title_short | Hybridization-driven fluorometric platform based on metal-organic frameworks for the identification of the highly homologous viruses |
title_sort | hybridization-driven fluorometric platform based on metal-organic frameworks for the identification of the highly homologous viruses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824912/ https://www.ncbi.nlm.nih.gov/pubmed/36643618 http://dx.doi.org/10.1016/j.microc.2023.108403 |
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