title: A linear modulation-based stochastic resonance algorithm applied to the detection of weak chromatographic peaks.
abstract: A simple stochastic resonance algorithm based on linear modulation was developed to amplify and detect weak chromatographic peaks. The output chromatographic peak is often distorted when using the traditional stochastic resonance algorithm due to the presence of high levels of noise. In the new algorithm, a linear modulated double-well potential is introduced to correct for the distortion of the output peak. Method parameter selection is convenient and intuitive for linear modulation. In order to achieve a better signal-to-noise ratio for the output signal, the performance of two-layer stochastic resonance was evaluated by comparing it with wavelet-based stochastic resonance. The proposed algorithm was applied to the quantitative analysis of dimethyl sulfide and the determination of chloramphenicol residues in milk, and the good linearity of the method demonstrated that it is an effective tool for detecting weak chromatographic peaks.
authors.affiliation: Key Laboratory of Drug Quality Control and Pharmacovigilance under the Ministry of Education, Center for Instrumental Analysis, China Pharmaceutical University, Tongjiaxiang 24, Nanjing 210009, Jiangsu Province, People's Republic of China.
authors.forename: Haishan
authors.initials: H
authors.lastname: Deng
authors.forename: Bingren
authors.initials: B
authors.lastname: Xiang
authors.forename: Xuewei
authors.initials: X
authors.lastname: Liao
authors.forename: Shaofei
authors.initials: S
authors.lastname: Xie
mesh_terms: D000465:Algorithms; D002701:Chloramphenicol / Q000032:analysis; D002849:Chromatography, Gas / Q000379:methods* / Q000706:statistics & numerical data*; D013269:Stochastic Processes; D013440:Sulfides / Q000032:analysis
chemical_list: D013440:Sulfides; D002701:Chloramphenicol; C004784:dimethyl sulfide