title: Improved stochastic resonance algorithm for enhancement of signal-to-noise ratio of high-performance liquid chromatographic signal.
abstract: Based on the theory of stochastic resonance, an improved stochastic resonance algorithm with a new criterion for optimizing system parameters to enhance signal-to-noise ratio (SNR) of HPLC/UV chromatographic signal for trace analysis was presented in this study. Compared with the conventional criterion in stochastic resonance, the proposed one can ensure satisfactory SNR as well as good peak shape of chromatographic peak in output signal. Application of the criterion to experimental weak signals of HPLC/UV was investigated and the results showed an excellent quantitative relationship between different concentrations and responses.
authors: Center for Instrumental Analysis, China Pharmaceutical University, Key Laboratory of Drug Quality Control and Pharmacovigilance, Ministry of Education, Nanjing 210009, China.
authors: Shaofei
authors: S
authors: Xie
authors: Bingren
authors: B
authors: Xiang
authors: Haishan
authors: H
authors: Deng
authors: Suyun
authors: S
authors: Xiang
authors: Jun
authors: J
authors: Lu
mesh_terms: D000465:Algorithms; D000584:Amiloride / Q000737:chemistry*; D016477:Artifacts; D002138:Calibration; D002623:Chemistry Techniques, Analytical / Q000379:methods*; D002845:Chromatography / Q000379:methods; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D016014:Linear Models; D000432:Methanol / Q000737:chemistry; D013056:Spectrophotometry, Ultraviolet / Q000379:methods; D013269:Stochastic Processes; D014466:Ultraviolet Rays
chemical_list: D000584:Amiloride; D000432:Methanol