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Utilization of Plasmonic and Photonic Crystal Nanostructures for Enhanced Micro- and Nanoparticle Manipulation
Published on: September 27, 2011
Plasmonic-based sensing using an array of Au-metal oxide thin films.
Nicholas A Joy1, Phillip H Rogers, Manjula I Nandasiri
1College of Nanoscale Science and Engineering, University at Albany-State University of New York, 12203, United States.
Analytical Chemistry
|November 8, 2012
Summary
This study presents an optical plasmonic sensor array for detecting hydrogen (H2), carbon monoxide (CO), and nitrogen dioxide (NO2) at high temperatures. The array demonstrates selective gas detection using localized surface plasmon resonance and multivariate analysis.
Area of Science:
- Nanomaterials Science
- Chemical Sensing
- Optical Spectroscopy
Background:
- High-temperature gas detection is crucial for industrial safety and process control.
- Existing sensors often lack selectivity and sensitivity in complex gas mixtures.
- Plasmonic nanomaterials offer unique optical properties for sensing applications.
Purpose of the Study:
- To develop and evaluate an optical plasmonic-based sensing array for selective H2, CO, and NO2 detection.
- To investigate the use of localized surface plasmon resonance (LSPR) shifts for gas identification.
- To apply multivariate analysis techniques for enhanced gas discrimination.
Main Methods:
- Fabrication of a three-element sensing array with Au nanoparticles in YSZ, CeO2, and TiO2 thin films.
- Monitoring LSPR absorbance spectra shifts upon exposure to H2, CO, and NO2 at 500 °C.
- Applying Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for data analysis.
Main Results:
- Distinct spectral shifts (blue for H2/CO, red for NO2) were observed.
- PCA and LDA showed good analyte separation for the array and Au-TiO2.
- Multivariate volume analysis confirmed improved separability with the array (less overlap, smaller volumes).
Conclusions:
- The optical plasmonic sensor array enables selective and sensitive detection of H2, CO, and NO2 at 500 °C.
- Multivariate analysis significantly enhances the discrimination capabilities of the sensor array.
- The developed sensor platform shows promise for high-temperature gas monitoring applications.
