Stimuli-responsive smart materials enabled high-performance biosensors for liquid biopsies.
Xiaoqi Gao1,2, Bayinqiaoge Bayinqiaoge3, Ming Li1
1School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
Journal of Nanobiotechnology
|July 2, 2025
Summary
Stimuli-responsive smart materials enhance biosensor performance for personalized medicine. These advanced materials improve biomarker detection in bodily fluids, enabling more accurate and user-friendly diagnostics.
Area of Science:
- Biomedical Engineering
- Materials Science
- Analytical Chemistry
Background:
- Liquid biopsies are crucial for personalized medicine, enabling tailored treatments through precise biochemical detection.
- Modern biosensors analyze biomarkers in bodily fluids but face limitations like mono-functionality and low sensitivity.
- Stimuli-responsive smart materials offer a solution to enhance biosensor capabilities.
Purpose of the Study:
- To review and compare recent advancements in stimuli-responsive smart materials for biosensing.
- To highlight the mechanisms and operational principles of these smart materials.
- To discuss their impact on biosensor performance for biomarker detection.
Main Methods:
- Critical examination of physical, chemical, and biochemical stimuli-responsive smart materials.
- Analysis of their integration into biosensing platforms.
- Comparison of their advantages in biomarker detection.
Main Results:
- Smart materials improve signal transduction, release, and amplification of biomarkers.
- Enhanced sensitivity, simplified workflows, and multi-target detection are achieved.
- These materials are key to advancing biosensor performance for bodily fluid analysis.
Conclusions:
- Stimuli-responsive smart materials are essential for overcoming current biosensor limitations.
- Further research is needed to develop versatile, accurate, and user-friendly biosensors for point-of-care applications.
- Integration of smart materials promises significant progress in clinical diagnostics and personalized medicine.


