Related Experiment Video
Updated: Jun 2, 2026

Bacterial Detection & Identification Using Electrochemical Sensors
Published on: April 23, 2013
Rapid identification of bacteria with a disposable colorimetric sensing array
James R Carey1, Kenneth S Suslick, Keren I Hulkower
1Department of Applied Chemistry, National University of Kaohsiung, 700 Kaohsiung University Road, Kaosiung 811, Taiwan. jcarey@nuk.edu.tw
A novel colorimetric sensor array enables rapid, accurate identification of human pathogenic bacteria from volatile organic compounds. This method achieves 98.8% accuracy within 10 hours for 10 bacterial strains, including antibiotic-resistant forms.
Area of Science:
- Microbiology
- Analytical Chemistry
- Biotechnology
Background:
- Accurate and rapid identification of bacterial pathogens is crucial for effective clinical treatment and infection control.
- Current methods for bacterial identification can be time-consuming, delaying appropriate therapeutic interventions.
- Volatile organic compounds (VOCs) produced by bacteria offer a potential source for rapid detection.
Purpose of the Study:
- To develop and validate a disposable colorimetric sensor array for the rapid identification of human pathogenic bacteria.
- To assess the accuracy and speed of the sensor array for identifying various bacterial strains, including antibiotic-resistant ones.
- To explore the utility of the sensor array as a tool for studying bacterial metabolism and optimizing fermentation processes.
Main Methods:
- Utilized a disposable colorimetric sensor array placed within a Petri dish containing bacterial cultures on standard agar.
- Analyzed volatile organic compounds (VOCs) emitted by bacterial colonies using the sensor array.
- Imaged the colorimetric changes on the sensor array with an inexpensive scanner for data acquisition and analysis.
Main Results:
- Achieved rapid identification of 10 different strains of human pathogenic bacteria, including Enterococcus faecalis and Staphylococcus aureus.
- Demonstrated high accuracy (98.8%) in bacterial identification within a clinically relevant timeframe of 10 hours.
- Successfully identified antibiotic-resistant bacterial forms, highlighting the method's clinical relevance.
Conclusions:
- The colorimetric sensor array provides a fast, accurate, and cost-effective method for identifying bacterial species and strains from their volatile emissions.
- This technology has significant potential for clinical diagnostics, research in bacterial metabolism, and optimization of industrial fermentation processes.
- The disposable nature and ease of use make this sensor array a practical tool for diverse microbiological applications.
Related Concept Videos
Automated Microbial Diagnostics
Rapid Identification of Pathogens
Microbial Biosensors
Methods of Classification and Identification

