Chemical components determination via terahertz spectroscopic statistical analysis using microgenetic algorithm

Yi Chen; Yong Ma; Zheng Lu; Zhi-Ning Xia; Hong Cheng

doi:10.1117/1.3549903

1 March 2011 Chemical components determination via terahertz spectroscopic statistical analysis using microgenetic algorithm

Yi Chen, Yong Ma, Zheng Lu, Zhi-Ning Xia, Hong Cheng

Author Affiliations +

Optical Engineering, Vol. 50, Issue 3, 034401 (March 2011). https://doi.org/10.1117/1.3549903

Abstract

In public security related applications, many suspicious samples may be a mixture of various chemical components that makes the usual spectral analysis difficult. In this paper, a terahertz spectroscopic statistical analysis method using a microgenetic algorithm (Micro-GA) has been proposed. Various chemical components in the mixture can be identified and the concentration of each component can be estimated based on the known spectral data of the pure chemical components. Five chemical mixtures have been tested using Micro-GA. The simulation results have shown agreement with other analytical methods. It is suggested that Micro-GA has potential applications for terahertz spectral identifications of chemical mixtures.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Yi Chen, Yong Ma, Zheng Lu, Zhi-Ning Xia, and Hong Cheng "Chemical components determination via terahertz spectroscopic statistical analysis using microgenetic algorithm," Optical Engineering 50(3), 034401 (1 March 2011). https://doi.org/10.1117/1.3549903

Published: 1 March 2011

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