This article is
- freely available
An Adaptive Single-Well Stochastic Resonance Algorithm Applied to Trace Analysis of Clenbuterol in Human Urine
Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 211198, China
Jiangsu Key Laboratory for Supramolecular Medicinal Materials and Applications, College of Life Science, Nanjing Normal University, Nanjing 210046, China
Nanjing Changao Pharmaceutical Technology Limited, Nanjing 210022, China
Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), China Pharmaceutical University, Nanjing 210009, China
* Author to whom correspondence should be addressed.
Received: 13 December 2011; in revised form: 22 January 2012 / Accepted: 2 February 2012 / Published: 15 February 2012
Abstract: Based on the theory of stochastic resonance, an adaptive single-well stochastic resonance (ASSR) coupled with genetic algorithm was developed to enhance the signal-to-noise ratio of weak chromatographic signals. In conventional stochastic resonance algorithm, there are two or more parameters needed to be optimized and the proper parameters values were obtained by a universal searching within a given range. In the developed ASSR, the optimization of system parameter was simplified and automatic implemented. The ASSR was applied to the trace analysis of clenbuterol in human urine and it helped to significantly improve the limit of detection and limit of quantification of clenbuterol. Good linearity, precision and accuracy of the proposed method ensure that it could be an effective tool for trace analysis and the improvement of detective sensibility of current detectors.
Keywords: adaptive stochastic resonance algorithm; single-well; genetic algorithm; trace analysis; clenbuterol
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
MDPI and ACS Style
Wang, W.; Xiang, S.; Xie, S.; Xiang, B. An Adaptive Single-Well Stochastic Resonance Algorithm Applied to Trace Analysis of Clenbuterol in Human Urine. Molecules 2012, 17, 1929-1938.
Wang W, Xiang S, Xie S, Xiang B. An Adaptive Single-Well Stochastic Resonance Algorithm Applied to Trace Analysis of Clenbuterol in Human Urine. Molecules. 2012; 17(2):1929-1938.
Wang, Wei; Xiang, Suyun; Xie, Shaofei; Xiang, Bingren. 2012. "An Adaptive Single-Well Stochastic Resonance Algorithm Applied to Trace Analysis of Clenbuterol in Human Urine." Molecules 17, no. 2: 1929-1938.