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Title: Plasmonic Based Sensing Using an Array of Au-Metal Oxide Thin Films

Abstract

An optical plasmonic-based sensing array has been developed and tested for the selective and sensitive detection of H2, CO, and NO2 at a temperature of 500°C in an oxygen-containing background. The three element sensing array used Au nanoparticles embedded in separate thin films of yttria stabilized zirconia (YSZ), CeO2, and TiO2. A peak in the absorbance spectrum due to a localized surface plasmon resonance (LSPR) on the Au nanoparticles was monitored for each film during gas exposures and showed a blue shift in the peak positions for the reducing gases, H2 and CO, and a red shift for the oxidizing gas NO2. A more in-depth look at the sensing response was performed using the multivariate methods of principal component analysis (PCA) analysis and linear discriminant analysis (LDA) on data from across the entire absorbance spectrum range. Qualitative results from both methods showed good separation between the three analytes for both the full array and the Au-TiO2 sample. Quantification of LDA cluster separation using the Mahalanobis distance showed better cluster separation for the array, but there were some instances with the lowest concentrations where the single Au-TiO2 film had better separation than the array. A second method to quantify cluster separationmore » in LDA space was developed using multidimensional volume analysis of the individual cluster volume, overlapped cluster volume and empty volume between clusters. Compared to the individual sensing elements, the array showed less cluster overlap, smaller cluster volumes, and more space between clusters, all of which were expected for improved separability between the analytes.« less

Authors:
; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (US), Environmental Molecular Sciences Laboratory (EMSL)
Sponsoring Org.:
USDOE
OSTI Identifier:
1057818
Report Number(s):
PNNL-SA-90732
34895; KP1704020
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Analytical Chemistry, 84(23):10437-10444
Additional Journal Information:
Journal Name: Analytical Chemistry, 84(23):10437-10444
Country of Publication:
United States
Language:
English
Subject:
Environmental Molecular Sciences Laboratory

Citation Formats

Joy, N, Rogers, Phillip H, Nandasiri, Manjula I, Thevuthasan, Suntharampillai, and Carpenter, Michael A. Plasmonic Based Sensing Using an Array of Au-Metal Oxide Thin Films. United States: N. p., 2012. Web. doi:10.1021/ac3026477.
Joy, N, Rogers, Phillip H, Nandasiri, Manjula I, Thevuthasan, Suntharampillai, & Carpenter, Michael A. Plasmonic Based Sensing Using an Array of Au-Metal Oxide Thin Films. United States. doi:10.1021/ac3026477.
Joy, N, Rogers, Phillip H, Nandasiri, Manjula I, Thevuthasan, Suntharampillai, and Carpenter, Michael A. Tue . "Plasmonic Based Sensing Using an Array of Au-Metal Oxide Thin Films". United States. doi:10.1021/ac3026477.
@article{osti_1057818,
title = {Plasmonic Based Sensing Using an Array of Au-Metal Oxide Thin Films},
author = {Joy, N and Rogers, Phillip H and Nandasiri, Manjula I and Thevuthasan, Suntharampillai and Carpenter, Michael A},
abstractNote = {An optical plasmonic-based sensing array has been developed and tested for the selective and sensitive detection of H2, CO, and NO2 at a temperature of 500°C in an oxygen-containing background. The three element sensing array used Au nanoparticles embedded in separate thin films of yttria stabilized zirconia (YSZ), CeO2, and TiO2. A peak in the absorbance spectrum due to a localized surface plasmon resonance (LSPR) on the Au nanoparticles was monitored for each film during gas exposures and showed a blue shift in the peak positions for the reducing gases, H2 and CO, and a red shift for the oxidizing gas NO2. A more in-depth look at the sensing response was performed using the multivariate methods of principal component analysis (PCA) analysis and linear discriminant analysis (LDA) on data from across the entire absorbance spectrum range. Qualitative results from both methods showed good separation between the three analytes for both the full array and the Au-TiO2 sample. Quantification of LDA cluster separation using the Mahalanobis distance showed better cluster separation for the array, but there were some instances with the lowest concentrations where the single Au-TiO2 film had better separation than the array. A second method to quantify cluster separation in LDA space was developed using multidimensional volume analysis of the individual cluster volume, overlapped cluster volume and empty volume between clusters. Compared to the individual sensing elements, the array showed less cluster overlap, smaller cluster volumes, and more space between clusters, all of which were expected for improved separability between the analytes.},
doi = {10.1021/ac3026477},
journal = {Analytical Chemistry, 84(23):10437-10444},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {12}
}