Molecules 2012, 17(2), 1929-1938; doi:10.3390/molecules17021929
Article

An Adaptive Single-Well Stochastic Resonance Algorithm Applied to Trace Analysis of Clenbuterol in Human Urine

Wei Wang 1 , Suyun Xiang 2,* email, Shaofei Xie 3  and Bingren Xiang 4
1 Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 211198, China 2 Jiangsu Key Laboratory for Supramolecular Medicinal Materials and Applications, College of Life Science, Nanjing Normal University, Nanjing 210046, China 3 Nanjing Changao Pharmaceutical Technology Limited, Nanjing 210022, China 4 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
(This article belongs to the Section Medicinal Chemistry)
PDF Full-text Download PDF Full-Text [266 KB, uploaded 15 February 2012 12:52 CET]
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 Statistics

Click here to load and display the download statistics.

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.

AMA 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(2):1929-1938.

Chicago/Turabian Style

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.

Molecules EISSN 1420-3049 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert