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Refresh-In-Sensing Reusable Biosensor for Ultrasensitive Analysis of MicroRNA Based on Photoresponsive Plasmonic
1State Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
ACS Sensors
|December 24, 2025
Summary
This study presents a reusable plasmonic nanobiosensor for sensitive microRNA detection. The novel sensor uses light-responsive DNA structures for cyclic detection of microRNA-21, showing clinical potential.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Molecular Biology
Background:
- MicroRNA detection is crucial for diagnostics and understanding biological processes.
- Plasmonic nanomaterials offer potential for sensitive optical sensing of molecules.
- Stable reusability of nanobiosensing platforms remains a significant challenge for practical applications.
Purpose of the Study:
- To develop a reusable plasmonic nanobiosensor for sensitive and cyclic detection of microRNA-21.
- To utilize photoresponsive DNA conformational switching for controlled sensing.
- To address the challenge of stable reusability in nanobiosensing platforms.
Main Methods:
- Integration of a single gold-silver core-shell nanocube (Au@Ag NC) with azobenzene-functionalized tetrahedron-structured DNA (tsDNA).
- Cyclic detection of microRNA-21 (miRNA-21) using photoresponsive conformational switching induced by alternating UV and visible light.
- Measurement of local surface plasmon resonance (LSPR) spectra for signal transduction.
Main Results:
- The developed nanobiosensor achieved cyclic detection of miRNA-21.
- A wide dynamic response range from 1 fM to 100 nM for miRNA-21 was observed.
- The platform demonstrated stable photoresponsive reusability.
Conclusions:
- The integrated Au@Ag NC and tsDNA nanobiosensor enables ultrasensitive and reusable detection of miRNA-21.
- Photoresponsive conformational switching provides a robust mechanism for cyclic sensing.
- The platform shows significant clinical potential for accurate miRNA detection.

