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Related Experiment Video

Updated: Jun 24, 2026

Automated, High-Throughput Detection of Bacterial Adherence to Host Cells

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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.

|April 14, 2009

Summary

This summary is machine-generated.

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.

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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.