Stimuli-responsive microgels with fluorescent and SERS activities for water and temperature sensing
1School of Chemical and Environmental Engineering, Shanghai Institute of Technology, 100 Haiquan Road, Shanghai, 201418, PR China.
Biosensors & Bioelectronics
|March 11, 2021
Summary
This study presents novel dual-responsive microgels for sensitive detection of water and temperature. These smart microgels offer a flexible platform for point-of-care analysis and molecular recognition.
Area of Science:
- Materials Science
- Analytical Chemistry
- Nanotechnology
Background:
- Stimulus-responsive microgels are emerging as promising materials for controllable sensing devices.
- Developing dual-responsive platforms for simultaneous detection of multiple analytes remains a challenge.
Purpose of the Study:
- To fabricate a dual-responsive microgel platform for on-spot fluorescence and SERS quantification of water and temperature.
- To investigate the sensing capabilities and stability of the developed microgel-based sensor.
Main Methods:
- In-situ encapsulation of 4,4'-dimercaptoazobenzene (DMAB), meso-formyl-1,3,5,7-tetramethyl pyrromethene fluoroborate (FPF) probe, and Ag nanoparticles (AgNPs) into polyvinyl alcohol (PVA) microgels.
- Utilizing fluorescence and surface-enhanced Raman scattering (SERS) for analyte detection.
- Evaluating the response to varying water concentrations and temperatures.
Main Results:
- The microgels demonstrated ultra-sensitive and reversible detection of water (detection limit 10-4% v/v) via SERS.
- Water presence triggered FPF conversion, enabling visual water assay through enhanced fluorescence.
- SERS signals were precisely tuned by the thermo-sensitive microgel substrate for temperature monitoring (32-50 °C).
- The sensor exhibited fast response (2 min) and excellent stability for detecting water in organic solvents and pharmaceuticals.
Conclusions:
- The fabricated hybrid microgels serve as a smart, dual-responsive sensor for simultaneous water and temperature monitoring.
- This platform shows potential for point-of-care (POC) analysis and advanced molecular recognition applications.


