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Published on: June 16, 2023
Attomolar Sensing Based on Liquid Interface-Assisted Surface-Enhanced Raman Scattering in Microfluidic Chip by
Shi Bai1, Daniela Serien1, Ying Ma2
1Advanced Laser Processing Research Team, RIKEN Center for Advanced Photonics, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
A new liquid interface-assisted SERS (LI-SERS) technique enables attomolar detection limits for trace analysis. This breakthrough overcomes challenges in detecting low-concentration, label-free molecules using plasmonic effects.
Area of Science:
- Analytical Chemistry
- Nanotechnology
- Materials Science
Background:
- Surface-enhanced Raman scattering (SERS) is a powerful trace analysis technique utilizing plasmonic effects.
- Current SERS methods struggle with detecting label-free molecules below 1 nM due to the blinking SERS effect.
- SERS microfluidic chips have shown promise but require further sensitivity improvements.
Purpose of the Study:
- To develop a novel analytical strategy for achieving attomolar detection limits in SERS.
- To overcome the limitations of existing SERS techniques for label-free molecule detection.
- To introduce and validate the liquid interface-assisted SERS (LI-SERS) technique.
Main Methods:
- Fabrication of glass microfluidic chips using hybrid femtosecond (fs) laser processing.
- Implementation of fs laser-assisted chemical etching, selective metallization, and metal surface nanostructuring.
- Utilizing an analyte air-solution interface within the microfluidic channel to aggregate molecules.
Main Results:
- The novel LI-SERS technique achieved an analytical enhancement factor of 1.5 × 10^14.
- Detection limits below 10^-17 M (<10 aM) were realized for trace analysis.
- The enhancement is attributed to Marangoni convection induced by the photothermal effect at the interface.
Conclusions:
- LI-SERS significantly enhances SERS sensitivity, enabling attomolar-level detection.
- The technique effectively addresses the challenge of detecting low-concentration, label-free analytes.
- This advancement holds potential for diverse applications requiring ultra-trace analysis.
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