Literature DB >> 23130885

Plasmonic-based sensing using an array of Au-metal oxide thin films.

Nicholas A Joy1, Phillip H Rogers, Manjula I Nandasiri, Suntharampillai Thevuthasan, Michael A Carpenter.   

Abstract

An optical plasmonic-based sensing array has been developed and tested for the selective and sensitive detection of H(2), CO, and NO(2) 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), CeO(2), and TiO(2). 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, H(2) and CO, and a red shift for the oxidizing gas, NO(2). A more in-depth look at the sensing response was performed using the multivariate methods of principal component analysis (PCA) 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-TiO(2) 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-TiO(2) film had separation better than that of 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.

Entities:  

Year:  2012        PMID: 23130885     DOI: 10.1021/ac3026477

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  5 in total

1.  Bio-inspired gas sensing: boosting performance with sensor optimization guided by "machine learning".

Authors:  R A Potyrailo; J Brewer; B Cheng; M A Carpenter; N Houlihan; A Kolmakov
Journal:  Faraday Discuss       Date:  2020-10-23       Impact factor: 4.008

2.  Nanoplasmonic NO2 Sensor with a Sub-10 Parts per Billion Limit of Detection in Urban Air.

Authors:  Irem Tanyeli; Iwan Darmadi; Martin Sech; Christopher Tiburski; Joachim Fritzsche; Olof Andersson; Christoph Langhammer
Journal:  ACS Sens       Date:  2022-03-31       Impact factor: 9.618

3.  Multifunctional Au-ZnO plasmonic nanostructures for enhanced UV photodetector and room temperature NO sensing devices.

Authors:  Narendar Gogurla; Arun Kumar Sinha; Sumita Santra; Santanu Manna; Samit Kumar Ray
Journal:  Sci Rep       Date:  2014-09-26       Impact factor: 4.379

4.  Alcohol Sensor Based on Surface Plasmon Resonance of ZnO Nanoflowers/Au Structure.

Authors:  Haowen Xu; Yutong Song; Panpan Zhu; Wanli Zhao; Tongyu Liu; Qi Wang; Tianming Zhao
Journal:  Materials (Basel)       Date:  2021-12-27       Impact factor: 3.623

5.  Surface-plasmon-enhanced ultraviolet emission of Au-decorated ZnO structures for gas sensing and photocatalytic devices.

Authors:  T Anh Thu Do; Truong Giang Ho; Thu Hoai Bui; Quang Ngan Pham; Hong Thai Giang; Thi Thu Do; Duc Van Nguyen; Dai Lam Tran
Journal:  Beilstein J Nanotechnol       Date:  2018-03-01       Impact factor: 3.649

  5 in total

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