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Updated: Aug 15, 2025

Bacterial Detection & Identification Using Electrochemical Sensors

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Published on: April 23, 2013

Portable Prussian Blue-Based Sensor for Bacterial Detection in Urine.

Carolin Psotta^1,2, Vivek Chaturvedi^1,3, Juan F Gonzalez-Martinez^1,3

¹Department of Biomedical Science, Faculty of Health and Society, Malmö University, 20506 Malmö, Sweden.

Sensors (Basel, Switzerland)

|January 8, 2023

Summary

A new wireless sensor rapidly detects E. coli, a common cause of urinary tract infections, in under four hours. This portable device offers a quick and accurate method for bacterial detection at the point of care.

Keywords:

Prussian blue bacterial detection portable sensing urine analysis

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Optical Detection of E. coli Bacteria by Mesoporous Silicon Biosensors

Optical Detection of E. coli Bacteria by Mesoporous Silicon Biosensors

Published on: November 20, 2013

Area of Science:

Biomedical Engineering
Analytical Chemistry
Microbiology

Background:

Bacterial infections are a major global health concern, contributing significantly to mortality rates worldwide.
Current methods for bacterial detection are often time-consuming and labor-intensive, hindering rapid diagnosis and treatment.
Urinary tract infections (UTIs) are the most prevalent type of bacterial infection, necessitating efficient diagnostic tools.

Purpose of the Study:

To develop a simple, rapid, and accurate wireless sensor for the point-of-care detection of bacteria.
To specifically target *Escherichia coli* (*E. coli*) as a model organism due to its prevalence in UTIs.
To enable portable and accessible bacterial detection using Bluetooth technology.

Main Methods:

A wireless-enabled, portable, potentiometric sensor was designed for bacterial detection.
The sensing mechanism relies on the reduction of Prussian blue by bacterial metabolic activity.
Sensor signals were transmitted via Bluetooth and recorded on digital devices (laptops or mobile phones).

Main Results:

The sensor successfully detected *E. coli* in artificial urine within approximately 4 hours at low concentrations (~10^3 cells/mL).
Faster detection (~0.5 hours) was achieved with higher initial *E. coli* concentrations (~10^5 cells/mL).
The sensor demonstrated effective detection of *E. coli* in authentic urine samples down to 10^4 cells/mL, showing consistent results across different samples and collection times.

Conclusions:

The developed wireless potentiometric sensor provides a rapid and accurate method for *E. coli* detection.
This technology addresses the unmet need for point-of-care diagnostics, particularly for urinary tract infections.
The portable and wireless nature of the sensor facilitates convenient use in various clinical settings.