Low-cost 3D-Printed Flow Cell Biosensor for Pathogenic Escherichia Coli Bacteria Detection
Year: 2025
Type: conference-paper
Abstract: This research seeks to develop an innovative 3D-printed biosensor for the rapid and accurate detection of Escherichia coli (E. coli) bacteria in water samples. E. coli contamination represents a significant public health risk, necessitating timely and precise detection methods. Existing techniques are often labor-intensive, expensive, and time-consuming, requiring advanced laboratory facilities and specialized personnel. The proposed biosensor will incorporate a flow cell design, which allows continuous monitoring and efficient detection of E. coli in real-time. The sensor will be fabricated using conductive polymer-based materials integrated with specific biological recognition elements to ensure high sensitivity and specificity. The 3D printing technology will be utilized to create a precise and reproducible flow cell structure, optimizing the sensor's functionality and scalability. The research will proceed through several key phases: designing and simulating the flow cell structure, selecting and functionalizing the sensing materials, fabricating the biosensor using 3D printing techniques, and conducting extensive testing with water samples containing various concentrations of E. coli. This project will make significant contributions to the field of biosensor technology, providing a practical solution for improving water quality monitoring and safeguarding public health. This research will establish a foundation for future advancements in portable and effective biosensing devices, offering a valuable tool for early detection and prevention of bacterial contamination.
Authors: Muhammad Fadzlisyam Redzuan, Irfan Danial Ismadi, Muhammad Fakhrullah Mohamad Azmi, Izzah Afifah Ibrahim, Mohd Ifwat Mohd Ghazali, Nurul Azmawati Mohamed, Nizam Tamchek, Shahino Mah Abdullah
Institutions: Universiti Sains Islam Malaysia, Universiti Putra Malaysia
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968815694
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