Arzneimittelforschung 2007; 57(11): 717-722
DOI: 10.1055/s-0031-1296673
Antibiotics · Antimycotics · Antiviral Drugs · Chemotherapeutics · Cytostatics
Editio Cantor Verlag Aulendorf (Germany)

Trace Determination of Carbendazim and Thiabendazole in Drinking Water by Liquid Chromatography and Using Linear Modulated Stochastic Resonance Algorithm

Haishan Deng
Center for Instrumental Analysis (Key Laboratory of Drug Quality Control and Pharmacovigilance under the Ministry of Education), China Pharmaceutical University, Nanjing, Jiangsu Province, People's Republic of China
,
Bingren Xiang
Center for Instrumental Analysis (Key Laboratory of Drug Quality Control and Pharmacovigilance under the Ministry of Education), China Pharmaceutical University, Nanjing, Jiangsu Province, People's Republic of China
,
Shaofei Xie
Center for Instrumental Analysis (Key Laboratory of Drug Quality Control and Pharmacovigilance under the Ministry of Education), China Pharmaceutical University, Nanjing, Jiangsu Province, People's Republic of China
,
Xiaohua Zhou
Center for Instrumental Analysis (Key Laboratory of Drug Quality Control and Pharmacovigilance under the Ministry of Education), China Pharmaceutical University, Nanjing, Jiangsu Province, People's Republic of China
› Author Affiliations
Further Information

Publication History

Publication Date:
21 December 2011 (online)

Abstract

The following paper addresses an attempt to determine the trace levels of two benz-imidazole fungicides (carbendazim, CAS 10605-21-7 and thiabendazole, CAS 148-79-8) in drinking water samples using the newly proposed linear modulated stochastic resonance algorithm. In order to implement an adaptive and intelligent algorithm, a two-step optimization procedure was developed for the parameter selection to give attention to both the signal-to-noise ratio and the peak shape of output signal. How to limit the ranges of the parameters to be searched was discussed in detail. The limits of detection for carbendazim and thiabendazole were improved to 0.012 µg∙L−1 and 0.015 µg∙L−1, respectively. The successful application demonstrated the ability of the algorithm for detecting two or more weak chromatographic peaks simultaneously.