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A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants
Published on: February 19, 2016
Ultrasensitive surface-enhanced Raman scattering detection in common fluids.
Shikuan Yang1, Xianming Dai2, Birgitt Boschitsch Stogin2
1Department of Mechanical and Nuclear Engineering and Materials Research Institute, The Pennsylvania State University, University Park, PA 16802 szy2@psu.edu tswong@psu.edu.
Researchers developed a universal platform for ultrasensitive analyte detection using slippery liquid-infused porous surface-enhanced Raman scattering (SLIPSERS). This method achieves attomolar detection limits, significantly advancing analytical science and technology for various applications.
Area of Science:
- Analytical Chemistry
- Materials Science
- Spectroscopy
Background:
- High specificity and sensitivity are crucial for detecting analytes in diverse fluids.
- Surface-enhanced Raman scattering (SERS) offers high specificity but struggles with sensitivity in dilute solutions.
Purpose of the Study:
- To develop a universal platform for analyte enrichment and ultrasensitive SERS detection.
- To enable quantitative detection of analytes in both aqueous and nonaqueous fluids.
Main Methods:
- A slippery, omniphobic substrate (SLIPSERS) was engineered for analyte and SERS substrate concentration.
- Analyte detection was achieved by concentrating droplets on the SLIPSERS platform.
- SERS mapping techniques were employed for quantitative analysis.
Main Results:
- The SLIPSERS platform enabled quantitative detection of Rhodamine 6G down to 75 attomolar (aM) levels.
- This represents the lowest limit of detection reported for SERS to date.
- The platform demonstrated successful detection of analytes from liquid, solid, and air phases.
Conclusions:
- The SLIPSERS platform provides a universal solution for ultrasensitive analyte detection across various sample types and fluid phases.
- This technology has broad potential applications in chemical and biological analysis, environmental monitoring, and diagnostics.
