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Surface plasmon resonance imaging of pathogens: the Yersinia pestis paradigm
Hong T T Huynh1, Guillaume Gotthard2, Jérome Terras3
1Faculté de médecine, Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes (URMITE), UMR CNRS 7278, IRD 198, INSERM 1095, 27, Boulevard Jean Moulin-Cedex 5, Marseille, France. tt.hong.huynh@gmail.com.
Background:
Yersinia pestis, causing deadly plague, is classified as a group A bioterrorism bacterium. Some recent DNA-based methods were used for detection of bioterrorism agents.
Results:
Y. pestis was used as a model organism to develop an immunosensor based on surface plasmon resonance imaging (SPRi) using monoclonal antibody against Y. pestis F1 antigen. The experimental approach included step-by-step detection of Y. pestis membrane proteins, lysed bacteria, intact bacteria, mock-infected powder and mock-infected clinical specimens. SPRi detected on average 10(6) intact Y. pestis organisms in buffer, in mock-infected powder and in a 1:4 mixture with HEL cells.
Conclusions:
This study offers the proof-of-concept of the SPRi-based detection of a human pathogen in both environmental and clinical specimens.
Insights
This study developed a novel immunosensor for detecting Yersinia pestis, the plague bacterium. The surface plasmon resonance imaging (SPRi) method successfully identified the pathogen in various samples, proving its potential for bioterrorism detection.
Area of Science:
- Biotechnology
- Immunosensor Development
- Pathogen Detection
Background:
- Yersinia pestis is a dangerous bioterrorism agent.
- Current detection methods include DNA-based approaches.
- Need for rapid and sensitive detection systems.
Purpose of the Study:
- To develop a novel immunosensor for Yersinia pestis detection.
- To validate the sensor's performance using surface plasmon resonance imaging (SPRi).
- To demonstrate the sensor's applicability in environmental and clinical specimens.
Main Methods:
- Development of an SPRi-based immunosensor utilizing a monoclonal antibody against Y. pestis F1 antigen.
- Step-by-step detection experiments involving Y. pestis membrane proteins, lysed bacteria, intact bacteria, mock-infected powder, and clinical specimens.
- Quantification of intact Y. pestis organisms in buffer, powder, and mixed samples.
Main Results:
- The SPRi immunosensor successfully detected Y. pestis.
- Average detection limit of 10^6 intact Y. pestis organisms was achieved.
- Effective detection was demonstrated in buffer, mock-infected powder, and a mixture with HEL cells.
Conclusions:
- This study provides proof-of-concept for an SPRi-based detection system.
- The developed immunosensor shows potential for detecting Yersinia pestis in diverse sample types.
- This technology could enhance bioterrorism preparedness and response.
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