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Electrochemical bacterial detection using poly(3-aminophenylboronic acid)-based imprinted polymer.
Mohsen Golabi1, Filiz Kuralay2, Edwin W H Jager1
1Biosensors and Bioelectronics Centre, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden.
Biosensors & Bioelectronics
|October 19, 2016
Summary
This study introduces a novel cell-imprinted polymer (CIP) using 3-aminophenylboronic acid (3-APBA) for rapid and selective bacterial detection. The developed biosensor demonstrates efficient bacterial capture, release, and regeneration, crucial for applications in food safety and diagnostics.
Area of Science:
- Biomaterials Science
- Analytical Chemistry
- Biosensor Technology
Background:
- Rapid bacterial detection is critical for food safety, clinical diagnostics, and biosecurity.
- Whole-cell imprinted polymers offer potential as selective recognition elements in biosensors.
- Existing methods often lack specificity or require complex sample preparation.
Purpose of the Study:
- To develop an electrochemical cell-imprinted polymer (CIP) using 3-aminophenylboronic acid (3-APBA) for selective bacterial detection.
- To investigate the reversible binding capabilities of the CIP for easy bacterial release and sensor regeneration.
- To evaluate the performance of the CIP-based biosensor for label-free bacterial detection.
Main Methods:
- Electrochemical fabrication of a cell-imprinted polymer (CIP) using 3-aminophenylboronic acid (3-APBA) monomer.
- Utilizing the specific interaction between boronic acid groups and cis-diols on bacterial cell surfaces.
- Employing electrochemical impedance spectroscopy (EIS) for label-free detection of target bacteria (Staphylococcus epidermidis).
Main Results:
- The CIP exhibited both morphological and chemical recognition abilities for target bacteria.
- The boronic acid-cis-diol interaction allowed for reversible bacterial capture and easy release, enabling sensor regeneration.
- The biosensor demonstrated a linear response over a bacterial concentration range of 10^3-10^7 CFU/mL.
- High selectivity was observed, with the CIP discriminating target bacteria from non-target species.
Conclusions:
- The developed CIP provides a highly specific and affinity-based recognition element for bacterial detection.
- The switchable interface facilitates easy removal and regeneration of the sensor, enhancing its practical utility.
- This approach holds significant promise for advancing rapid and selective bacterial detection in various critical fields.

