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Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
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Immobilized phage proteins for specific detection of staphylococci
Hicham Chibli1, Hala Ghali, Soonhyang Park
1Department of Biomedical Engineering, McGill University, 3775 university Street, Montreal, Quebec H3A 2B4, Canada. jay.nadeau@mcgill.ca hicham.chibli@mail.mcgill.ca.
The Analyst
|November 21, 2013
Summary
Specific phage proteins like endolysins LysK and Φ11, and lysostaphin, can detect staphylococci bacteria on surfaces. This advance offers a robust method for developing new diagnostic biosensors for infectious diseases.
Area of Science:
- Microbiology
- Biotechnology
- Materials Science
Background:
- Rapid and specific detection of pathogenic bacteria is crucial for diagnosing infectious diseases.
- Bacteriophages offer high specificity for bacterial detection, but individual phage proteins for biosensing remain underexplored.
Purpose of the Study:
- To investigate the potential of using specific bacteriophage proteins (endolysins LysK, Φ11, and bacteriocin lysostaphin) for bacterial detection.
- To develop a robust and generalizable biosensor platform for staphylococci detection.
Main Methods:
- Functionalization of silicon wafers with purified phage proteins (LysK, Φ11, lysostaphin).
- Quantification of bacterial binding using solution-based clearing assays and surface-based light microscopy.
- Testing protein binding specificity against various bacterial species, including Staphylococcus aureus, S. epidermidis, Escherichia coli, and Micrococcus.
Main Results:
- Phage proteins LysK, Φ11, and lysostaphin demonstrated specific binding to clinical isolates of Staphylococcus aureus and S. epidermidis.
- Minimal to no binding was observed for Escherichia coli and limited binding for Micrococcus.
- Bacterial binding densities on functionalized surfaces reached approximately 3 cells/100 μm(2).
Conclusions:
- Individual bacteriophage proteins can be effectively immobilized on surfaces for specific bacterial capture.
- This protein-based approach provides a robust, scalable, and versatile platform for developing novel diagnostic biosensors.
- The principle is adaptable to various biosensor technologies, including label-free optical microresonators.

