Trace determination of carbendazim and thiabendazole in drinking water by liquid chromatography and using linear modulated stochastic resonance algorithm.

The following paper addresses an attempt to determine the trace levels of two benzimidazole 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 microg x L(-1) and 0.015 microg x L(-1), respectively. The successful application demonstrated the ability of the algorithm for detecting two or more weak chromatographic peaks simultaneously.