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Automated, High-Throughput Detection of Bacterial Adherence to Host Cells
Published on: September 17, 2021
Microorganisms recognition and quantification by lectin adsorptive affinity impedance
M Gamella1, S Campuzano, C Parrado
1Dpto. Química Analítica, Universidad Complutense de Madrid, Madrid E-28040, Spain.
Talanta
|April 14, 2009
Summary
This study introduces lectin-based sensors for label-free bacteria detection using electrochemical impedance spectroscopy. The novel biosensor accurately identifies and quantifies bacteria like E. coli with high selectivity.
Area of Science:
- Electrochemistry
- Biosensors
- Microbiology
Background:
- Accurate and rapid detection of bacteria is crucial for public health and diagnostics.
- Existing methods often require labeling or complex procedures, limiting their applicability.
- Lectin-carbohydrate interactions offer a specific recognition mechanism for microbial surfaces.
Purpose of the Study:
- To develop and evaluate a label-free impedimetric biosensor for bacteria detection.
- To utilize lectin-functionalized screen-printed gold electrodes (SPEs) for selective bacterial recognition.
- To demonstrate the capability of electrochemical impedance spectroscopy (EIS) for quantifying bacteria.
Main Methods:
- Screen-printed gold electrodes were modified with biotinylated Concanavalin A (Con A).
- Bacteria (e.g., Escherichia coli) were captured via lectin-carbohydrate binding, forming a complex in solution.
- Electrochemical impedance spectroscopy (EIS) was used to measure changes in electron transfer resistance upon complex adsorption onto the electrode surface.
Main Results:
- The biosensor demonstrated specific binding of Con A to E. coli, with no significant non-specific adsorption.
- The impedimetric response showed a linear relationship with the logarithm of E. coli concentration over four orders of magnitude.
- Principal component analysis (PCA) of responses from nine lectins and three bacteria (E. coli, Staphylococcus aureus, Mycobacterium phlei) enabled distinct bacterial classification.
- Electrochemical monitoring of beta-galactosidase activity further differentiated between E. coli and S. aureus.
Conclusions:
- Lectin-based SPEs combined with EIS provide a sensitive and label-free platform for bacteria detection and identification.
- The developed biosensor exhibits high selectivity and a broad linear range for E. coli quantification.
- This approach offers a promising tool for rapid microbial analysis in various applications.
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