Published:Journal of Chromatographic Science,
ISSN 0021-9665 Volume
47, Number 8, September 2009, pp. 700-704
Stochastic Resonance Algorithm Applied to Quantitative Analysis for Weak
Chromatographic Signals of Alkyl Halides and Alkyl Benzenes in Water Samples
Suyun Xiang1, Wei Wang2, Jia Xia2,
Bingren Xiang2,
and Pingkai Ouyang1
1State Key Laboratory of Materials-Oriented Chemical Engineering,
College of Life Science and Pharmaceutical Engineering, Nanjing University
of Technology, Nanjing , Jiangsu 210009, China and
2Center for Instrumental
Analysis, China Pharmaceutical University,
Nanjing, Jiangsu 210009, China
The stochastic resonance algorithm is applied
to the trace analysis of alkyl halides and alkyl benzenes in
water samples. Compared to encountering a single signal when
applying the algorithm, the optimization of system parameters
for a multicomponent is more complex. In this article, the resolution
of adjacent chromatographic peaks is first involved in the optimization
of parameters. With the optimized parameters, the algorithm gave
an ideal output with good resolution as well as enhanced signal-to-noise
ratio. Applying the enhanced signals, the method extended the
limit of detection and exhibited good linearity, which ensures
accurate determination of the multicomponent.
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