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Visual naked-eye detection of SARS-CoV-2 RNA based on covalent organic framework capsules.

Authors :
Wang, Minghui
Lin, Yuxin
Lu, Jianyang
Sun, Zhaowei
Deng, Ying
Wang, Lei
Yi, Yongxiang
Li, Jinlong
Yang, Jie
Li, Genxi
Source :
Chemical Engineering Journal. Feb2022, Vol. 429, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

[Display omitted] • A novel and facile strategy was designed to fabricate COF capsules. • It can exhibit excellent analytical performance for the SARS-CoV-2 RNA detection. • The detection limits of 0.28 pM was achieved. • The proposed method has been used to analyze the clinical samples. The ongoing outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has highlighted that new diagnosis technologies are crucial for controlling the spread of the disease. Especially in the resources-limit region, conveniently operated detection methods such as "naked-eye" detection are urgently required that no instrument is needed. Herein, we have designed a novel and facile strategy to fabricate covalent organic framework (COF) capsules, which can be utilized to establish a new colorimetric assay for naked-eye detection of SARS-CoV-2 RNA. Specifically, we employ the digestible ZIF-90 as the sacrificial template to prepare the hollow COF capsules for horseradish peroxidase (HRP) encapsulation. The fabricated COF capsules can provide an appropriate microenvironment for the enzyme molecules, which may improve the conformational freedom of enzymes, enhance the mass transfer, and endow the enzyme with high environmental resistance. With such design, the proposed assay exhibits outstanding analytical performance for the detection of SARS-CoV-2 RNA in the linear range from 5 pM to 50 nM with a detection limit of 0.28 pM which can go parallel to qTR-PCR analysis. Our method also possesses excellent selectivity and reproducibility. Moreover, this method can also be served to analyze the clinical samples, and can successfully differentiate COVID-19 patients from healthy people, suggesting the promising potential in clinical diagnosis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13858947
Volume :
429
Database :
Academic Search Index
Journal :
Chemical Engineering Journal
Publication Type :
Academic Journal
Accession number :
153706142
Full Text :
https://doi.org/10.1016/j.cej.2021.132332