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Updated: Jun 14, 2026

Foodborne Pathogen Screening Using Magneto-fluorescent Nanosensor: Rapid Detection of E. Coli O157:H7

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Published on: September 17, 2017

Graphene-Based Sensor for Detection of Bacterial Pathogens.

Santosh Pandit¹, Mengyue Li², Yanyan Chen¹

¹Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden.

Sensors (Basel, Switzerland)

|December 10, 2021

Summary

This summary is machine-generated.

This study presents a simple graphene sensor for early detection of bacterial colonization on biomedical surfaces. The sensor differentiates bacterial species by their unique growth and adherence patterns, aiding in timely medical device management.

Keywords:

Pseudomonas aeruginosa Staphylococcus epidermidis biofilms graphene sensors

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Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection

Published on: February 1, 2022

Area of Science:

Biomedical Engineering
Materials Science
Microbiology

Background:

Biofilm formation on biomedical surfaces is a significant challenge, leading to difficult-to-treat infections.
Current methods for detecting microbial colonization lack speed and simplicity.
Early detection is crucial for managing infections and biomedical device failure.

Purpose of the Study:

To develop a rapid, simple sensor prototype for detecting bacterial colonization on biomedical surfaces.
To investigate the potential of a non-functionalized graphene sensor for differentiating bacterial species.
To establish a cost-effective method for monitoring biofilm formation.

Main Methods:

Fabrication of a prototype sensor using pristine, non-functionalized graphene.
Measurement of changes in electrical resistance upon bacterial cell exposure.
Analysis of resistance changes, resistance-gate voltage plots, and hysteresis effects to differentiate bacteria.
Testing with two distinct bacterial species to evaluate detection and differentiation capabilities.

Main Results:

The graphene sensor detected bacterial colonization through changes in electrical resistance.
Distinct bacterial species were differentiated based on their unique growth dynamics and adherence patterns.
The sensor exhibited distinguishable electrical resistance patterns for different bacteria.
The prototype demonstrated effectiveness without specific receptor functionalization.

Conclusions:

A simple, non-functionalized graphene sensor can detect and differentiate bacterial species based on their physical and growth characteristics.
This technology offers a promising approach for early detection of microbial colonization on biomedical devices.
The sensor is scalable, miniaturizable, and effective for applications not requiring precise species identification.