Two-Dimensional Material-Based Biosensors for Virus Detection
Publication type: Journal Article
Publication date: 2020-11-23
scimago Q1
wos Q1
SJR: 1.757
CiteScore: 13.4
Impact factor: 9.1
ISSN: 23793694
PubMed ID:
33226779
Process Chemistry and Technology
Instrumentation
Bioengineering
Fluid Flow and Transfer Processes
Abstract
Viral infections are one of the major causes of mortality and economic losses worldwide. Consequently, efficient virus detection methods are crucial to determine the infection prevalence. However, most detection methods face challenges related to false-negative or false-positive results, long response times, high costs, and/or the need for specialized equipment and staff. Such issues can be overcome by access to low-cost and fast response point-of-care detection systems, and two-dimensional materials (2DMs) can play a critical role in this regard. Indeed, the unique and tunable physicochemical properties of 2DMs provide many advantages for developing biosensors for viral infections with high sensitivity and selectivity. Fast, accurate, and reliable detection, even at early infection stages by the virus, can be potentially enabled by highly accessible surface interactions between the 2DMs and the analytes. High selectivity can be obtained by functionalization of the 2DMs with antibodies, nucleic acids, proteins, peptides, or aptamers, allowing for specific binding to a particular virus, viral fingerprints, or proteins released by the host organism. Multiplexed detection and discrimination between different virus strains are also feasible. In this Review, we present a comprehensive overview of the major advances of 2DM-based biosensors for the detection of viruses. We describe the main factors governing the efficient interactions between viruses and 2DMs, making them ideal candidates for the detection of viral infections. We also critically detail their advantages and drawbacks, providing insights for the development of future biosensors for virus detection. Lastly, we provide suggestions to stimulate research in the fast expanding field of 2DMs that could help in designing advanced systems for preventing virus-related pandemics.
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Total citations:
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Ménard-Moyon C., Bianco A., Kalantar-Zadeh K. Two-Dimensional Material-Based Biosensors for Virus Detection // ACS Sensors. 2020. Vol. 5. No. 12. pp. 3739-3769.
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Ménard-Moyon C., Bianco A., Kalantar-Zadeh K. Two-Dimensional Material-Based Biosensors for Virus Detection // ACS Sensors. 2020. Vol. 5. No. 12. pp. 3739-3769.
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TY - JOUR
DO - 10.1021/acssensors.0c01961
UR - https://doi.org/10.1021/acssensors.0c01961
TI - Two-Dimensional Material-Based Biosensors for Virus Detection
T2 - ACS Sensors
AU - Ménard-Moyon, Cécilia
AU - Bianco, Alberto
AU - Kalantar-Zadeh, Kourosh
PY - 2020
DA - 2020/11/23
PB - American Chemical Society (ACS)
SP - 3739-3769
IS - 12
VL - 5
PMID - 33226779
SN - 2379-3694
ER -
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BibTex (up to 50 authors)
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@article{2020_Ménard-Moyon,
author = {Cécilia Ménard-Moyon and Alberto Bianco and Kourosh Kalantar-Zadeh},
title = {Two-Dimensional Material-Based Biosensors for Virus Detection},
journal = {ACS Sensors},
year = {2020},
volume = {5},
publisher = {American Chemical Society (ACS)},
month = {nov},
url = {https://doi.org/10.1021/acssensors.0c01961},
number = {12},
pages = {3739--3769},
doi = {10.1021/acssensors.0c01961}
}
Cite this
MLA
Copy
Ménard-Moyon, Cécilia, et al. “Two-Dimensional Material-Based Biosensors for Virus Detection.” ACS Sensors, vol. 5, no. 12, Nov. 2020, pp. 3739-3769. https://doi.org/10.1021/acssensors.0c01961.