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Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
LSPR-Based Biosensing Enables the Detection of Antimicrobial Resistance Genes
Stephan Kastner1,2, Anne-Kathrin Dietel1,2, Florian Seier1,2
1Molecular Plasmonics work group, Department of Nanobiophotonics, Leibniz Institute of Photonic Technology, Albert-Einstein-Strasse 9, 07745, Jena, Germany.
Localized surface plasmon resonance (LSPR) spectroscopy detects antimicrobial resistance genes like blaSHV in DNA. This method offers a rapid, label-free approach for identifying genetic mutations crucial for antibiotic treatment decisions.
Area of Science:
- Biotechnology
- Molecular Biology
- Spectroscopy
Background:
- The demand for rapid, simple, and accurate nucleic acid detection bioassays is increasing.
- Antimicrobial resistance (AMR) poses a significant global health threat, necessitating efficient detection methods.
- The blaSHV gene confers resistance to a broad spectrum of beta-lactam antibiotics.
Purpose of the Study:
- To develop and validate a localized surface plasmon resonance (LSPR) spectroscopy-based bioassay for detecting the blaSHV antimicrobial resistance gene.
- To assess the sensitivity, real-time monitoring capabilities, and specificity of the LSPR system for nucleic acid detection.
- To demonstrate the utility of LSPR in distinguishing between different single nucleotide polymorphism (SNP) variants of the blaSHV gene.
Main Methods:
- Utilized localized surface plasmon resonance (LSPR) spectroscopy for label-free detection of nucleic acids.
- Performed limit of detection experiments to determine the sensitivity for DNA sequences.
- Monitored hybridization events in real-time to extract kinetic parameters and analyzed SNP variants of the blaSHV gene.
Main Results:
- Achieved detection of a 23-nucleotide (nt) deoxyribonucleic acid (DNA) sequence down to 25 nm.
- Demonstrated an inverse correlation between signal intensity and DNA sequence length (23, 43, 63, and 100 nt).
- Successfully distinguished single nucleotide polymorphism (SNP) variants of the blaSHV gene from the fully complementary sequence using LSPR.
Conclusions:
- The developed LSPR system provides a robust, label-free, and cost-efficient analytical tool for nucleic acid detection.
- The system enables real-time monitoring and kinetic analysis of hybridization events.
- This technology is crucial for the surveillance of antimicrobial resistance determinants and can aid in clinical decision-making for antibiotic treatment.
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