Detection of trace triclocarban in water sample using solid-phase extraction-liquid chromatography with stochastic resonance algorithm.
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.
Xie
Shaofei
S
Center for Instrumental Analysis, China Pharmaceutical University (Key Laboratory of Drug Quality Control and Pharmacovigilance, Ministry of Education), Nanjing 210009, China.
Deng
Haishan
H
Xiang
Bingren
B
Xiang
Suyun
S
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*
D000891:Anti-Infective Agents, Local; D002224:Carbanilides; D014874:Water Pollutants, Chemical; C009540:triclocarban