期刊
JOURNAL OF APPLIED PHYSICS
卷 110, 期 4, 页码 -出版社
AMER INST PHYSICS
DOI: 10.1063/1.3624737
关键词
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资金
- University of Electronic Science and Technology of China (UESTC) [Y02002010801052]
- Fundamental Research Funds for Central Universities [ZYGX2009X013]
- National Natural Science Foundation of China (NSFC) [30872183]
In the field of anti-illicit drug applications, many suspicious mixture samples might consist of various drug components-for example, a mixture of methamphetamine, heroin, and amoxicillin -which makes spectral identification very difficult. A terahertz spectroscopic quantitative analysis method using an adaptive range micro-genetic algorithm with a variable internal population (ARVIP epsilon mu GA) has been proposed. Five mixture cases are discussed using ARVIP epsilon mu GA driven quantitative terahertz spectroscopic analysis in this paper. The devised simulation results show agreement with the previous experimental results, which suggested that the proposed technique has potential applications for terahertz spectral identifications of drug mixture components. The results show agreement with the results obtained using other experimental and numerical techniques. (C) 2011 American Institute of Physics. [doi:10.1063/1.3624737]
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