@article{Zhang:2022:10.1038/s41551-022-00907-0,
author = {Zhang, T and Deng, R and Wang, Y and Wu, C and Zhang, K and Wang, C and Gong, N and Ledesma-Amaro, R and Teng, X and Yang, C and Xue, T and Zhang, Y and Hu, Y and He, Q and Li, W and Li, J},
doi = {10.1038/s41551-022-00907-0},
journal = {Nature Biomedical Engineering},
pages = {957--967},
title = {A paper-based assay for the colorimetric detection of SARS-CoV-2 variants at single-nucleotide resolution},
url = {http://dx.doi.org/10.1038/s41551-022-00907-0},
volume = {6},
year = {2022}
}

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TY  - JOUR
AB  - The evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has highlighted the need for versatile diagnostic assays that can discriminate among emerging variants of the virus. Here we report the development and performance benchmarking of an inexpensive (approximately US$0.30 per test) assay for the rapid (sample-to-answer time within 30 min) colorimetric detection of SARS-CoV-2 variants. The assay, which we integrated into foldable paper strips, leverages nucleic acid strand-displacement reactions, the thermodynamic energy penalty associated with single-base-pair mismatches and the metal-ion-controlled enzymatic cleavage of urea to amplify the recognition of viral RNAs for the colorimetric readout of changes in pH via a smartphone. For 50 throat swab samples, the assay simultaneously detected the presence of SARS-CoV-2 and mutations specific to the SARS-CoV-2 variants Alpha, Beta and Gamma, with 100% concordance with real-time quantitative polymerase chain reaction and RNA sequencing. Customizable and inexpensive paper-based assays for the detection of viruses and their variants may facilitate viral surveillance.
AU  - Zhang,T
AU  - Deng,R
AU  - Wang,Y
AU  - Wu,C
AU  - Zhang,K
AU  - Wang,C
AU  - Gong,N
AU  - Ledesma-Amaro,R
AU  - Teng,X
AU  - Yang,C
AU  - Xue,T
AU  - Zhang,Y
AU  - Hu,Y
AU  - He,Q
AU  - Li,W
AU  - Li,J
DO  - 10.1038/s41551-022-00907-0
EP  - 967
PY  - 2022///
SN  - 2157-846X
SP  - 957
TI  - A paper-based assay for the colorimetric detection of SARS-CoV-2 variants at single-nucleotide resolution
T2  - Nature Biomedical Engineering
UR  - http://dx.doi.org/10.1038/s41551-022-00907-0
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000825224200003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.nature.com/articles/s41551-022-00907-0
UR  - http://hdl.handle.net/10044/1/99041
VL  - 6
ER  - 

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