Abstract: It is practically significant for studying on analysis methods for rapidly and easily determining trace metals in food. In this paper the stripping voltammetric responses were obtained in the solutions containing varying concentrations of Cu , Pb , Cd , and Zn by Square Wave Stripping Voltammetry in supporting electrolytes of KNO3 & HNO3(pH1.5). A feed-forward neural network was utilized to cope with the analysis results and trained to model the relationship between responses and concentrations in the situation of simultaneous determination of the four heavy metals. The results of the sample show that neural network can be used to solve the problems of significant complications due to interaction of metal cations. Based on comparatively accurate testing results, this method has practical applications and research values.

Key words: artificial neural network, square wave stripping voltammetry, food, Cu, Pb, Cd, Zn, determina- tion