Quantitative analysis of terahertz spectra for illicit drugs using adaptive-range micro-genetic algorithm

Yi Chen, Yong Ma, Zheng Lu, Bei Peng, Qin Chen

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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¿µGA) has been proposed. Five mixture cases are discussed using ARVIP¿µGA driven quantitative terahertz spectroscopic analysis in this paper.
Original languageEnglish
Pages (from-to)043101
Number of pages10
JournalJournal of Applied Physics
Issue number4
Publication statusPublished - 2011



  • genetic algorithms
  • terahertz wave spectra
  • terahertz spectroscopy
  • illicit drugs
  • chemical sensors

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