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Published on: June 30, 2018
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An enzymatic nucleic acid vertical flow assay
Mehdi Tahmasebi1, Taravat Bamdad2, Winnie Edith Svendsen3
1Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, P.O. Box 14115-111, Tehran, Iran.
Analytical and Bioanalytical Chemistry
|March 30, 2022
Summary
A novel passive paper-based vertical flow assay offers rapid and sensitive nucleic acid detection. This enzyme-based assay demonstrates high accuracy, achieving 100% consistency with real-time PCR for hepatitis B virus detection.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Molecular Diagnostics
Background:
- Lateral flow assays have limitations in multiplexing, quantitation, and hook effect.
- Vertical flow assays offer potential improvements over traditional lateral flow methods.
- Paper-based assays provide a low-cost, accessible platform for diagnostics.
Purpose of the Study:
- To develop the first passive paper-based vertical flow assay for nucleic acid target detection.
- To optimize assay parameters for enhanced signal-to-noise ratio.
- To investigate the use of an enzyme reporter for signal amplification in a vertical flow assay.
Main Methods:
- Development of a passive paper-based vertical flow assay.
- Utilized horseradish peroxidase as an enzymatic tracer for signal amplification.
- Optimized assay parameters including sample preparation (heat denaturation, probe hybridization) and assay format (sandwich assay).
Main Results:
- Achieved a limit of detection (LOD) of 1.7 nM (8.5 fmol dsDNA in 12 µl).
- Established a linear range of 3-194 nM with a high correlation coefficient (0.978).
- Demonstrated 100% consistency with real-time PCR for hepatitis B virus detection in 45 clinical plasma samples.
Conclusions:
- The developed passive paper-based vertical flow assay is a sensitive and specific method for nucleic acid detection.
- The assay offers rapid analysis (6 minutes) with a small sample volume (12 µl).
- This enzyme-reporter-based vertical flow assay shows high potential for clinical diagnostics and point-of-care applications.

