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Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1

Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1

Published on: March 13, 2018

Future developments in biosensors for field-ready Zika virus diagnostics.

Ariana M Nicolini¹, Katherine E McCracken², Jeong-Yeol Yoon^1,2

¹Biomedical Engineering Graduate Interdisciplinary Program and Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721 USA.

Journal of Biological Engineering

|January 28, 2017

Summary

Developing rapid Zika virus diagnostics is crucial. This review explores current Zika virus sensing methods and future needs for effective field-ready biosensors.

Keywords:

Biosensors Flaviviruses Immunoassays LAMP RT-PCR Zika

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Reverse Transcription-Loop-mediated Isothermal Amplification RT-LAMP Assay for Zika Virus and Housekeeping Genes in Urine, Serum, and Mosquito Samples

Reverse Transcription-Loop-mediated Isothermal Amplification RT-LAMP Assay for Zika Virus and Housekeeping Genes in Urine, Serum, and Mosquito Samples

Published on: September 14, 2018

Area of Science:

Virology
Biomedical Engineering
Diagnostic Technology

Background:

The 2015 Zika virus outbreak highlighted the urgent need for effective diagnostic tools.
Significant progress has been made in understanding Zika virus infection and transmission.
Translating research findings into practical, field-deployable diagnostics remains a challenge.

Purpose of the Study:

To review current diagnostic methods for Zika virus.
To assess the potential of adapting existing flavivirus biosensors for Zika virus detection.
To identify future research and development needs for advanced Zika virus biosensors.

Main Methods:

Literature review of current Zika virus diagnostic techniques.
Analysis of flavivirus biosensor technologies and their applicability to Zika virus.
Discussion of requirements for high-sensitivity and high-specificity biosensors.

Main Results:

Current diagnostic methods for Zika virus are available but require improvement for field use.
Existing flavivirus biosensors show promise for adaptation to Zika virus detection.
Key areas for future development include enhancing sensitivity and specificity.

Conclusions:

Further innovation is needed to develop robust, field-ready Zika virus biosensors.
Adapting flavivirus biosensor technology offers a potential pathway for rapid Zika virus diagnostics.
Future biosensors must achieve high sensitivity and specificity for accurate detection.