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.

Linear Modulated Stochastic Resonance Algorithm Applied to Determination of Thidiazuron Residue in Water Using Stochastic Resonance

“…The simplified Langevin equation was used to describe the phenomenon of stochastic resonance in LSRA (Deng et al 2006):…”

“…It was found that the distortion of the signal could be improved by introducing an external force into the nonlinear system (Pan et al 2003b;Deng et al 2006). Here, the linear modulated stochastic resonance algorithm (LSRA) was used to amplify and detect the weak chromatographic peaks of thidiazuron.…”

Stochastic resonance algorithm applied to quantitative analysis for weak liquid chromatographic signal of pyrene in water samples

“…And in our previous studies, SRA was used to determine phenazopyridine, glyburide and roxithromycin in plasma [12][13][14]. Also, it was used to determine Sudan I in pepper-based products [15] and chloramphenicol residues in milk [16]. However, the theory of stochastic resonance is seldom employed to deal with the problems in environmental science.…”

“…The USA Environmental Protection Agency (EPA) presented 16 [1, 2, 3-cd]pyrene. PAHs in the environment are widespread; they will cause pollution of drinking water sources, then enter the human body through drinking water.…”

The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic Peaks

“…However, the ill-looking peak shape often annoys the researchers. Therefore, some improved algorithms with two or more parameters were developed to give attention to both the S / N and the chromatographic peak shape [8, 9]; of course, the workload of parameter optimization inevitably increased. In order to simplify the parameter optimization, Zhang and Xiang developed a single-well potential stochastic resonance algorithm (SSRA) with only one parameter [10].…”