Related Experiment Video
Updated: Jul 16, 2025

07:56
Utilizing Time-Resolved Protein-Induced Fluorescence Enhancement to Identify Stable Local Conformations One α-Synuclein Monomer at a Time
Published on: May 30, 2021
3.2K
Long-lived SERS Matrix for Real-Time Biochemical Detection Using "Frozen" Transition State
Kai Zhu1, Tong Zhou1, Peng Chen1,2
1Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China.
ACS Sensors
|September 13, 2023
Summary
This study introduces a novel superwettable-omniphobic lubricous porous SERS (SOLP-SERS) substrate for long-term bio-event tracking. The SOLP-SERS platform maintains analyte bioactivity and achieves femtomolar detection limits with stable signals for over 30 days.
Area of Science:
- Analytical Chemistry
- Materials Science
- Biotechnology
Background:
- Maintaining analyte bioactivity is crucial for long-time tracking of biological events.
- Existing detection methods often struggle with analyte stability over extended periods.
Purpose of the Study:
- To develop a versatile surface-enhanced Raman scattering (SERS) platform for sensitive and stable long-term detection of biological analytes.
- To demonstrate the capability of the platform in monitoring dynamic biological processes and detecting disease biomarkers.
Main Methods:
- Fabrication of a superwettable-omniphobic lubricous porous SERS (SOLP-SERS) substrate.
- Utilizing a 3D liquid "hotspots" matrix formed by confining liquids within nanoparticle gaps.
- Confining analytes within liquid "hotspots" to preserve bioactivity during SERS detection.
Main Results:
- Achieved limits of detection down to femtomolar levels for various molecules.
- Demonstrated uniform and stable SERS signals over 30 days.
- Successfully monitored Aβ peptide polymerization and detected exosomes from breast cancer cells.
Conclusions:
- The SOLP-SERS substrate offers an ultra-long lifetime for liquid "hotspots", ensuring analyte bioactivity.
- The platform provides ultrahigh sensitivity and signal stability for real-time biochemical sensing.
- This technology has significant potential for advancing the development of next-generation biochemical sensors.

