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A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants
Published on: February 19, 2016
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Non-labeling multiplex surface enhanced Raman scattering (SERS) detection of volatile organic compounds (VOCs)
Chi Lok Wong1, U S Dinish1, Michael Stenbæk Schmidt2
1Bio-optical Imaging Group, Singapore Bioimaging Consortium, Helios #01-02, 11 Biopolis Way, Singapore.
Analytica Chimica Acta
|August 31, 2014
Summary
This study introduces a novel method for multiplex detection of volatile organic compounds (VOCs) using a leaning nano-pillar substrate for surface-enhanced Raman spectroscopy (SERS). This non-labeling technique achieves high sensitivity and reproducibility for detecting acetone and ethanol vapors.
Area of Science:
- Nanotechnology
- Spectroscopy
- Chemical Sensing
Background:
- Volatile organic compounds (VOCs) pose risks in environmental monitoring and healthcare.
- Current detection methods often lack sensitivity, specificity, or require labeling.
- Multiplex detection of multiple VOCs simultaneously is challenging.
Purpose of the Study:
- To develop a novel multiplex surface-enhanced Raman spectroscopy (SERS) approach for VOC detection.
- To utilize a unique leaning nano-pillar substrate for enhanced SERS signals.
- To demonstrate sensitive, specific, and reproducible detection of VOCs without labeling.
Main Methods:
- Fabrication of a leaning nano-pillar substrate for SERS.
- Adsorption of VOC analyte molecules (acetone, ethanol) onto the nano-pillars.
- Utilizing localized surface plasmon resonance (LSPR) hot spots for signal enhancement.
- Performing cyclic and multiplex detection experiments.
Main Results:
- Achieved low detection limits for ethanol (0.0017 ng) and acetone (0.0037 ng).
- Demonstrated non-labeling and highly reproducible SERS signals in cyclic detection.
- Successfully performed multiplex SERS detection of mixed acetone and ethanol vapors.
- Identified specific Raman peaks corresponding to different VOC compositions.
Conclusions:
- The leaning nano-pillar substrate enables sensitive and specific multiplex VOC detection via SERS.
- This non-labeling, reproducible method offers a cost-effective solution for VOC analysis.
- Potential applications include exhaled breath analysis, environmental monitoring, and homeland security.
