Share Email Print

Proceedings Paper

Fast quantitative detection of thiram using surface-enhanced Raman scattering and support vector machine regression
Author(s): Shizhuang Weng; Baohong Yuan; Zede Zhu; Linsheng Huang; Dongyan Zhang; Ling Zheng
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

As a novel and ultrasensitive detection technology that had advantages of fingerprint effect, high speed and low cost, surface-enhanced Raman scattering (SERS) was used to develop the regression models for the fast quantitative detection of thiram by support vector machine regression (SVR) in the paper. Meanwhile, three parameter optimization methods, which were grid search (GS), genetic algorithm (GA) and particle swarm optimization (PSO), were employed to optimize the internal parameters of SVR. Furthermore, the influence of the spectral number, spectral wavenumber range and principal component analysis (PCA) on the quantitative detection was also discussed. Firstly, the experiments demonstrate the proposed method can realize the fast and quantitative detection of thiram, and the best result is obtained by GS-SVR with the spectra of the range of characteristic peak which are processed by PCA. And the effect of GS, GA, PSO on the parameter optimization is similar, but the analysis time has a great difference in which GS is the fastest. Considering the analysis accuracy and time simultaneously, the spectral number of samples over each concentration should be set to 50. Then, developing the quantitative model with the spectra of range of characteristic peak can reduce analysis time on the promise of ensuring the detection accuracy. Additionally, PCA can further reduce the detection error through reserving the main information of the spectra data and eliminating the noise.

Paper Details

Date Published: 8 March 2017
PDF: 8 pages
Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 102553B (8 March 2017); doi: 10.1117/12.2267123
Show Author Affiliations
Shizhuang Weng, Anhui Univ. (China)
Baohong Yuan, Anhui Sanlian Univ. (China)
Zede Zhu, Hefei Institute of Physical Science (China)
Linsheng Huang, Anhui Univ. (China)
Dongyan Zhang, Anhui Univ. (China)
Ling Zheng, Anhui Univ. (China)

Published in SPIE Proceedings Vol. 10255:
Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016
Yueguang Lv; Jialing Le; Hesheng Chen; Jianyu Wang; Jianda Shao, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?