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A systematic review of the advancement on colorimetric nanobiosensors for SARS-CoV-2 detection.

Authors :
Tessaro, Leticia
Aquino, Adriano
Panzenhagen, Pedro
Joshi, Nirav
Conte-Junior, Carlos Adam
Source :
Journal of Pharmaceutical & Biomedical Analysis. Jan2023, Vol. 222, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

The current pandemic of the acute severe respiratory syndrome coronavirus 2 (SARS-CoV-2) killed about 6.4 million and infected more than 600 million individuals by august of 2022, and researchers worldwide are searching for fast and selective approaches for this virus detection. Colorimetric biosensors are an excellent alternative because they are sensitive, simple, fast, and low-cost for rapid detection of SARS-CoV-2 compared to standard Enzyme-linked immunosorbent assay (ELISA) and Polymerase Chain Reaction (PCR) techniques. This study systematically searched and reviewed literature data related to colorimetric biosensors in detecting SARS-CoV-2 viruses, recovered from the Scopus (n = 16), Web of Science (n = 19), PubMed (n = 19), and Science Direct (n = 17) databases totalizing n = 71 articles. Data were analyzed for the type of nanomaterial, biorecognition material at the detection limit (LOD), and devices designed for diagnostics. The most applied nanomaterial were gold nanoparticles, in their original form and hybrid in quantum dots and core-shell. In addition, we show high specificity in point-of-care (POC) diagnostic devices as a faster and cheaper alternative for clinical diagnosis. Finally, the highlights of the colorimetric biosensor developed for diagnostic devices applied in swabs, surgical masks, and lateral flow immunoassays were presented. [Display omitted] • Gold-based nanomaterials were the most applied in biosensors for SARS-CoV-2 detection. • The ACE2 enzyme was used as a biorecognition material of the biosensor, which did not need previa amplification. • The main applications of biosensors in POC are LFIA, mLFA, surgical masks, optodiagnostics and paper colorimetric. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07317085
Volume :
222
Database :
Academic Search Index
Journal :
Journal of Pharmaceutical & Biomedical Analysis
Publication Type :
Academic Journal
Accession number :
159953141
Full Text :
https://doi.org/10.1016/j.jpba.2022.115087