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Viruses 2015, 7(10), 5410-5427; doi:10.3390/v7102877

Diagnosis of Dengue Infection Using Conventional and Biosensor Based Techniques

Department of Medical Microbiology and Parasitology, School of Medical Science, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
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Academic Editor: Alexander Ploss
Received: 30 April 2015 / Revised: 1 August 2015 / Accepted: 9 September 2015 / Published: 19 October 2015
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Abstract

Dengue is an arthropod-borne viral disease caused by four antigenically different serotypes of dengue virus. This disease is considered as a major public health concern around the world. Currently, there is no licensed vaccine or antiviral drug available for the prevention and treatment of dengue disease. Moreover, clinical features of dengue are indistinguishable from other infectious diseases such as malaria, chikungunya, rickettsia and leptospira. Therefore, prompt and accurate laboratory diagnostic test is urgently required for disease confirmation and patient triage. The traditional diagnostic techniques for the dengue virus are viral detection in cell culture, serological testing, and RNA amplification using reverse transcriptase PCR. This paper discusses the conventional laboratory methods used for the diagnosis of dengue during the acute and convalescent phase and highlights the advantages and limitations of these routine laboratory tests. Subsequently, the biosensor based assays developed using various transducers for the detection of dengue are also reviewed. View Full-Text
Keywords: dengue; diagnosis; detection; biosensor; rt-PCR; dengue specific IgM; NS1; viral isolation dengue; diagnosis; detection; biosensor; rt-PCR; dengue specific IgM; NS1; viral isolation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Parkash, O.; Shueb, R.H. Diagnosis of Dengue Infection Using Conventional and Biosensor Based Techniques. Viruses 2015, 7, 5410-5427.

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