The Zika virus (ZIKV) is one of the most infamous mosquito-borne flavivirus on recent memory due to its potential association with high mortality rates in fetuses, microcephaly and neurological impairments in neonates, and autoimmune disorders. The severity of the disease, as well as its fast spread over several continents, has urged the World Health Organization (WHO) to declare ZIKV a global health concern. In consequence, over the past couple of years, there has been a significant effort for the development of ZIKV diagnostic methods, vaccine development, and prevention strategies. This review focuses on the most recent aspects of ZIKV research which includes the outbreaks, genome structure, multiplication and propagation of the virus, and more importantly, the development of serological and molecular detection tools such as Zika IgM antibody capture enzyme-linked immunosorbent assay (Zika MAC-ELISA), plaque reduction neutralization test (PRNT), reverse transcription quantitative real-time polymerase chain reaction (qRT-PCR), reverse transcription-loop mediated isothermal amplification (RT-LAMP), localized surface plasmon resonance (LSPR) biosensors, nucleic acid sequence-based amplification (NASBA), and recombinase polymerase amplification (RPA). Additionally, we discuss the limitations of currently available diagnostic methods, the potential of newly developed sensing technologies, and also provide insight into future areas of research.
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December 2018
Review Articles
Advances in Diagnostic Methods for Zika Virus Infection
Carlos A. Herrada,
Carlos A. Herrada
Department of Computer Engineering and
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Asghar-Lab, Micro and
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
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Md. Alamgir Kabir,
Md. Alamgir Kabir
Department of Computer Engineering and
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Asghar-Lab, Micro and
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Search for other works by this author on:
Rommel Altamirano,
Rommel Altamirano
Department of Computer Engineering and
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Asghar-Lab, Micro and
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Search for other works by this author on:
Waseem Asghar
Waseem Asghar
Department of Computer Engineering and
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Asghar-Lab, Micro and
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431;
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431;
Department of Biological Sciences,
Florida Atlantic University,
Boca Raton, FL 33431
e-mail: wasghar@fau.edu
Florida Atlantic University,
Boca Raton, FL 33431
e-mail: wasghar@fau.edu
Search for other works by this author on:
Carlos A. Herrada
Department of Computer Engineering and
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Asghar-Lab, Micro and
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Md. Alamgir Kabir
Department of Computer Engineering and
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Asghar-Lab, Micro and
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Rommel Altamirano
Department of Computer Engineering and
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Asghar-Lab, Micro and
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431
Waseem Asghar
Department of Computer Engineering and
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Electrical Engineering and Computer Science,
Florida Atlantic University,
Boca Raton, FL 33431;
Asghar-Lab, Micro and
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431;
Nanotechnology in Medicine,
College of Engineering and Computer Science,
Boca Raton, FL 33431;
Department of Biological Sciences,
Florida Atlantic University,
Boca Raton, FL 33431
e-mail: wasghar@fau.edu
Florida Atlantic University,
Boca Raton, FL 33431
e-mail: wasghar@fau.edu
1Corresponding author.
Manuscript received March 13, 2018; final manuscript received July 31, 2018; published online November 5, 2018. Assoc. Editor: Yaling Liu.
J. Med. Devices. Dec 2018, 12(4): 040802 (11 pages)
Published Online: November 5, 2018
Article history
Received:
March 13, 2018
Revised:
July 31, 2018
Citation
Herrada, C. A., Kabir, M. A., Altamirano, R., and Asghar, W. (November 5, 2018). "Advances in Diagnostic Methods for Zika Virus Infection." ASME. J. Med. Devices. December 2018; 12(4): 040802. https://doi.org/10.1115/1.4041086
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