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Title: Virus detection : from state-of-the-art laboratories to smartphone-based point-of-care testing
Authors: Xiao, M
Tian, F 
Liu, X
Zhou, Q
Pan, J
Luo, Z
Yang, M 
Yi, C
Issue Date: 13-Jun-2022
Source: Advanced science, 13 June 2022, v. 9, no. 17, 2105904
Abstract: Infectious virus outbreaks pose a significant challenge to public healthcare systems. Early and accurate virus diagnosis is critical to prevent the spread of the virus, especially when no specific vaccine or effective medicine is available. In clinics, the most commonly used viral detection methods are molecular techniques that involve the measurement of nucleic acids or proteins biomarkers. However, most clinic-based methods require complex infrastructure and expensive equipment, which are not suitable for low-resource settings. Over the past years, smartphone-based point-of-care testing (POCT) has rapidly emerged as a potential alternative to laboratory-based clinical diagnosis. This review summarizes the latest development of virus detection. First, laboratory-based and POCT-based viral diagnostic techniques are compared, both of which rely on immunosensing and nucleic acid detection. Then, various smartphone-based POCT diagnostic techniques, including optical biosensors, electrochemical biosensors, and other types of biosensors are discussed. Moreover, this review covers the development of smartphone-based POCT diagnostics for various viruses including COVID-19, Ebola, influenza, Zika, HIV, et al. Finally, the prospects and challenges of smartphone-based POCT diagnostics are discussed. It is believed that this review will aid researchers better understand the current challenges and prospects for achieving the ultimate goal of containing disease-causing viruses worldwide.
Keywords: Biosensors
Laboratory-based diagnostics
Point-of-care testing
Smartphones
Virus
Publisher: Wiley-VCH
Journal: Advanced science 
ISSN: 2198-3844
DOI: 10.1002/advs.202105904
Rights: © 2022 The Authors. Advanced Science published by Wiley-VCH GmbH.
This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
The following publication Xiao, M., Tian, F., Liu, X., Zhou, Q., Pan, J., Luo, Z., ... & Yi, C. (2022). Virus Detection: From State‐of‐the‐Art Laboratories to Smartphone‐Based Point‐of‐Care Testing. Advanced Science, 2105904 is available at https://doi.org/10.1002/advs.202105904.
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