title: Stochastic resonance algorithm applied to quantitative analysis for weak chromatographic signals of alkyl halides and alkyl benzenes in water samples.
abstract: 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.
authors.affiliation: State Key Laboratory of Materials-Oriented Chemical Engineering, College of Life Science and Pharmaceutical Engineering, Nanjing University of Technology, Nanjing, Jiangsu 210009, China.
authors.forename: Suyun
authors.initials: S
authors.lastname: Xiang
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.forename: Jia
authors.initials: J
authors.lastname: Xia
authors.forename: Bingren
authors.initials: B
authors.lastname: Xiang
authors.forename: Pingkai
authors.initials: P
authors.lastname: Ouyang
mesh_terms: D000465:Algorithms; D001593:Benzyl Compounds / Q000032:analysis*; D002849:Chromatography, Gas / Q000379:methods*; D006846:Hydrocarbons, Halogenated / Q000032:analysis*; D015203:Reproducibility of Results; D014874:Water Pollutants, Chemical / Q000032:analysis*
chemical_list: D001593:Benzyl Compounds; D006846:Hydrocarbons, Halogenated; D014874:Water Pollutants, Chemical