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Updated: May 12, 2026

Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
Development of a novel rapid visual LAMP platform for detection of methicillin-resistant Staphylococcus aureus (MRSA)
Kaiwei Hu1,2, Qiuyan Chen1,2, Xiaozhen Xu1,2
1College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China. chgangxu@126.com.
Abstract:
Methicillin-resistant Staphylococcus aureus (MRSA) has been increasingly identified as a significant foodborne pathogen that can causes severe infections in humans. Furthermore, MRSA has become a pervasive presence in both food products and healthcare environments. In order to address the lack of rapid, on-site detection methods capable of producing visual readouts for MRSA, a novel detection system targeting the nuc (S. aureus-specific) and mecA (methicillin-resistance) genes was developed using an enzyme-primed probe-based loop-mediated isothermal amplification (EP-LAMP) method. This method builds upon conventional loop-mediated isothermal amplification (LAMP) by incorporating a circular probe and the RNase H2 enzyme. The process of hybridization of the ribonucleotide within the probe to the complementary deoxyribonucleotide sequence of the target gene is followed by RNase H2 cleavage of the ribonucleotide site. This results in the separation of the fluorescent reporter from its quencher and subsequent signal generation. The results can be visually interpreted using a smartphone interface. For the nuc gene, the limit of detection (LOD) of the EP-LAMP method was 5.94 × 101 copies per μL for plasmid DNA and 4.17 × 101 CFU mL-1 for genomic DNA. Similarly, the LOD for the mecA gene was 6.53 × 101 copies per μL for plasmid DNA and 4.17 × 101 CFU mL-1 for genomic DNA. All reactions were completed within 30 minutes. In clinical sample testing, EP-LAMP exhibited 100% concordance with quantitative PCR (qPCR) results. The method's efficacy as a tool for MRSA detection in clinical settings is attributable to its high sensitivity, excellent specificity, and rapid turnaround time. Moreover, the visual readout facilitates straightforward result interpretation, enabling point-of-care diagnostics in resource-limited environments.
Insights
A new enzyme-primed probe-based loop-mediated isothermal amplification (EP-LAMP) method rapidly detects methicillin-resistant Staphylococcus aureus (MRSA) using a smartphone visual readout. This sensitive and specific diagnostic tool offers point-of-care testing for MRSA.
Area of Science:
- Microbiology
- Molecular Biology
- Biotechnology
Background:
- Methicillin-resistant Staphylococcus aureus (MRSA) is a significant foodborne pathogen causing severe human infections.
- MRSA is prevalent in food products and healthcare settings, necessitating rapid detection methods.
- Existing MRSA detection methods often lack on-site capabilities and visual readouts.
Purpose of the Study:
- To develop a novel, rapid, on-site detection system for MRSA.
- To target the specific S. aureus (nuc) and methicillin-resistance (mecA) genes.
- To enable visual interpretation of results for point-of-care diagnostics.
Main Methods:
- Developed an enzyme-primed probe-based loop-mediated isothermal amplification (EP-LAMP) method.
- Incorporated a circular probe and RNase H2 enzyme for signal generation upon target gene hybridization.
- Utilized a smartphone interface for visual readout of results.
Main Results:
- Achieved limits of detection (LOD) as low as 4.17 x 10^1 CFU mL^-1 for genomic DNA for both nuc and mecA genes.
- Completed all reactions within 30 minutes.
- Demonstrated 100% concordance with quantitative PCR (qPCR) in clinical sample testing.
Conclusions:
- The EP-LAMP method provides a highly sensitive and specific tool for MRSA detection.
- The rapid turnaround time and visual readout facilitate point-of-care diagnostics, especially in resource-limited settings.
- This novel system addresses the need for efficient MRSA screening in clinical and potentially food safety applications.
Related Concept Videos
Microbial Biosensors
Automated Microbial Diagnostics
Clinical Significance of Antibiotic Resistance

