title: Detection of trace triclocarban in water sample using solid-phase extraction-liquid chromatography with stochastic resonance algorithm.
abstract: Based on the theory of stochastic resonance, a new algorithm was presented to enhance the signal-to-noise ratio (SNR) of weak HPLC/UV signals of triclocarban in water samples with a new method for optimizing the system parameters. The method was applied to experimental weak signals of HPLC/ UV, which was embedded in the noise background, and the SNR was enhanced greatly. The algorithm was employed to detect triclocarban residue in water with solid-phase extraction--high-performance liquid chromatography. The limit of detection and the limit of quantification were improved from 10 ng L(-1) and 50 ng L(-1) to 1 ng L(-1) and 5 ng L(9-1), respectively. The results showed an excellent quantitative relationship between concentrations and chromatographic responses.
authors.affiliation: Center for Instrumental Analysis, China Pharmaceutical University (Key Laboratory of Drug Quality Control and Pharmacovigilance, Ministry of Education), Nanjing 210009, China.
authors.forename: Shaofei
authors.initials: S
authors.lastname: Xie
authors.forename: Haishan
authors.initials: H
authors.lastname: Deng
authors.forename: Bingren
authors.initials: B
authors.lastname: Xiang
authors.forename: Suyun
authors.initials: S
authors.lastname: Xiang
mesh_terms: D000465:Algorithms; D000891:Anti-Infective Agents, Local / Q000032:analysis*; D002224:Carbanilides / Q000032:analysis*; D002851:Chromatography, High Pressure Liquid; D004784:Environmental Monitoring; D052616:Solid Phase Extraction; D014874:Water Pollutants, Chemical / Q000032:analysis*
chemical_list: D000891:Anti-Infective Agents, Local; D002224:Carbanilides; D014874:Water Pollutants, Chemical; C009540:triclocarban