Abstract：In order to calibrate the baseline drift of measurement curve caused by multi-layer modified electrode rapidly,a portable-potentiostat system was designed to detect E.coli with multilayer modified electrodes,and an electrochemical algorithm optimization in portable-potentiostat system was proposed in this paper. First,the algorithm used wavelet filter to remove noise by selecting the decomposition layer and threshold value. Then the baseline and peak-position calibration algorithms were used to remove the specificity error caused by intermediate modification of the electrode through calculation of peak position and base line slope. Results showed that the lower limit of system measurement reached the order of microamps (10-6 A),the signal to noise ratio was improved by more than 30%,and the calibration error of peak-position was lower than 1.23%,achieving better denoising and calibration results. With the wide application of electrochemical biosensor technology based on complex modified materials in recent years,the algorithm could match the measured results with the multilayer modified electrode layer and made rapid qualitative longitudinal comparison and transverse prediction. The algorithm could also be used to predict the consistency of the results of electrochemical detection for a variety of microorganisms and trace characteristics,therefore showing great application potentials of fast electrochemical detection in the field of food safety.
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