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Molecular imprinting has advanced towards synthesizing whole-cell imprints of microorganisms such as bacteria on various sensor surfaces including wire electrodes, quartz crystal microbalances, and microparticles (MPs). We recently introduced cell-imprinted polymers (CIPs) coated on MPs, called CIP-MPs, for bacteria recovery from water. In this paper, we have advanced towards rapid fluorometric Escherichia coli (E. coli) detection by applying fluorescent magnetic CIP-MPs, which were captured by soft ferromagnetic microstructures integrated into a microfluidic channel. The shape of ferromagnetic microstructures was optimized numerically to enhance the magnetophoretic accumulation of CIP-MPs in the microchannel. The device was then fabricated and the flow rate required to enhance bacteria capturing efficiency by CIP-MPs was determined. Decreasing the flow rate reduced the flow-induced drag and increased the interactions between the bacteria and imprinted CIP cavities. Fluorescent imaging of the accumulated CIP-MPs was done before and after bacteria capturing to quantify the changes in the fluorescence intensity as E. coli cells were captured by CIP-MPs in the microchannel. The dose-response curve of the sensor at 0-10 9  CFU/mL bacterial counts was obtained. Using the 3- and 10-sigma methods on the dose-response curve, the limits of detection (LOD) and quantification (LOQ) of the sensor were determined to be 4 × 10 2 and 3 × 10 3  CFU/mL, respectively, within a dynamic range of 10 2 -10 7  CFU/mL. Lastly, the specificity of the CIP-MPbased sensor towards E. coli was tested and confirmed using Sarcina as a non-specific target bacterium. In summary, our developed sensor offers a promising approach for rapid and low-cost detection of bacteria in water and is suitable for development of portable and durable all-polymeric sensors for point-of-need detection., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)