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Gold-Oligonucleotide Nanoconstructs Engineered to Detect Conserved Enteroviral Nucleic Acid Sequences.
Veeren M Chauhan1,2, Mohamed M Elsutohy3, C Patrick McClure4
1School of Pharmacy, Boots Science Building, University of Nottingham, Nottingham NG7 2RD, UK.
Biosensors
|August 6, 2021
Summary
A new biosensor detects enteroviruses using gold nanoparticles and specific DNA sequences. This rapid, economical tool offers accurate detection for clinical use and combating antimicrobial resistance.
Area of Science:
- Biomedical Engineering
- Molecular Biology
- Nanotechnology
Background:
- Enteroviruses are widespread pathogens causing diverse illnesses.
- Accurate and rapid detection methods are crucial for timely clinical intervention.
- Existing diagnostic tools may lack speed, economy, or broad-spectrum coverage.
Purpose of the Study:
- To develop a multimodal, point-of-care biosensor for rapid and accurate enterovirus detection.
- To identify a conserved enteroviral nucleic acid sequence for broad-spectrum detection.
- To create an economical and accessible diagnostic tool for clinical settings.
Main Methods:
- In silico screening identified a conserved 23-base enteroviral nucleic acid sequence.
- Gold nanoparticles and complementary oligonucleotides formed nanoconstructs.
- Detection utilized colorimetric, spectroscopic (blueshift), and lateral flow assays.
- Assays were validated for specificity against human genomic DNA and speed (<60s).
Main Results:
- The biosensor accurately detected the conserved enteroviral sequence with high sensitivity (≥1 × 10⁻⁷ M).
- A distinct colorimetric and spectroscopic blueshift (544 nm to 524 nm) indicated viral presence.
- Lateral flow assays showed no interference from human genomic DNA.
- Rapid detection (<60 seconds) was achieved with a custom electronic interface.
Conclusions:
- A novel, rapid, and economical point-of-care biosensor for enteroviruses was successfully developed.
- The biosensor leverages gold nanoparticle-oligonucleotide interactions for sensitive and specific detection.
- This technology has potential for broad clinical application and combating antimicrobial resistance.

