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Updated: Aug 3, 2025

Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1
Published on: March 13, 2018
Loop-Mediated Isothermal Amplification on Paper Microfluidic Chips for Highly Sensitive and Specific Zika Virus
Kattika Kaarj1, Jeong-Yeol Yoon2
1School of Biology, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, Thailand.
A new Zika virus (ZIKV) detection method uses reverse transcription isothermal loop-mediated amplification (RT-LAMP) for rapid, portable point-of-care testing. This colorimetric assay, read by smartphone, offers high sensitivity for ZIKV RNA in blood, urine, and water.
Area of Science:
- Virology
- Molecular Biology
- Diagnostics
Background:
- Zika virus (ZIKV) poses significant risks, particularly for pregnant women, necessitating rapid diagnostic tools.
- Current detection methods may lack portability and ease of use for field applications.
- Point-of-care testing is crucial for controlling ZIKV transmission in affected regions.
Purpose of the Study:
- To develop a simple, portable, and user-friendly method for ZIKV RNA detection.
- To enable rapid, on-site diagnosis of Zika virus infections.
- To provide a tool for preventing the spread of ZIKV.
Main Methods:
- A reverse transcription isothermal loop-mediated amplification (RT-LAMP) assay was developed.
- Phenol red was used as a colorimetric indicator for successful amplification.
- Amplification was detected visually using smartphone cameras under ambient light.
Main Results:
- The RT-LAMP method detected ZIKV RNA in blood, urine, and tap water samples.
- Detection of a single viral RNA molecule per μL was achieved in as little as 15 minutes.
- The assay demonstrated 100% sensitivity and 100% specificity in blood and tap water.
- 100% sensitivity and 67% specificity were observed in urine samples.
Conclusions:
- This RT-LAMP platform offers a rapid and sensitive method for ZIKV detection.
- The smartphone-based colorimetric readout facilitates point-of-care and field-based diagnostics.
- The technology shows potential for detecting other viruses like SARS-CoV-2, enhancing diagnostic capabilities.
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