Rapid-response biosensing systems are necessary to counteract threats due to high-consequence pathogens. A impedance immunosensor for E. coli O157∶H7 detection was developed based on multi-frequency electrical impedance scanning, screen-printed microelectrodes, and lateral-flow chromatographic assay. In order to perform more meaningful data analysis, in addition to use the correction method and extract the Cole-Cole parameters (G 0 , G ∞ , f c , α), a multivariate regression model for bacteria concentration versus these parameters was been explored. The results showed that G 0 was most sensitive to the cell concentrations in the range of 102∼107CFU/ml, which yielded the model determination coefficient (R2) to 0.8761. What's more, with more valid variable entered, R2 increased, and was up to 0.9751 for the best model. The limit of detection for the immunosensor was able to reach 39CFU/ml and the detection time was less than five minutes.