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Ultrasensitive Label-Free Nucleic-Acid Biosensors Based on Bimodal Waveguide Interferometers
Cesar S Huertas1, Laura M Lechuga2
1Integrated Photonics and Applications Centre, School of Engineering, RMIT University, Melbourne, VIC, Australia. cesar.sanchez.huertas@rmit.edu.au.
Methods in Molecular Biology (Clifton, N.J.)
|November 27, 2021
Summary
The bimodal waveguide (BiMW) biosensor offers ultrasensitive, label-free detection of nucleic acid biomarkers. This technology enables early cancer diagnosis through real-time analysis of biomarkers like mRNA and microRNA from human samples.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Biosensing
Background:
- The bimodal waveguide (BiMW) biosensor utilizes evanescent field detection for label-free biomolecular interaction analysis.
- Its ultrasensitivity allows for the detection of nucleic acids like mRNA and microRNA at attomolar-femtomolar concentrations.
Purpose of the Study:
- To describe the working principle and application of the BiMW biosensor for nucleic acid analysis.
- To demonstrate the utility of BiMW biosensors for cancer diagnosis using specific RNA biomarkers.
Main Methods:
- Fabrication of BiMW sensors using standard silicon microelectronics technology for miniaturization and cost-effectiveness.
- Functionalization of BiMW sensor surfaces with specific DNA probes for target hybridization.
- Real-time monitoring of light intensity changes to detect target nucleic acid hybridization.
Main Results:
- Detailed DNA functionalization procedures are presented.
- Successful analysis of mRNA transcripts from the Fas gene and miRNA 181a from urine liquid biopsies.
- Demonstrated potential for early bladder cancer diagnosis using miRNA detection.
Conclusions:
- The BiMW biosensor is a powerful, ultrasensitive tool for label-free nucleic acid detection.
- Its application in analyzing cancer-related RNA biomarkers shows promise for point-of-care diagnostics.
- The technology's compatibility with microelectronics fabrication supports portable and disposable sensing platforms.

