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Updated: Aug 26, 2025

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR
Published on: November 28, 2016
Multi pathogenic microorganisms determination using DNA composites-encapsulated DNA silver nanocluster/graphene
Yan Zeng1,2,3, Peng Qi4,5,6, Yanan Zhou1,2,3,7
1Key Laboratory of Marine Environmental Corrosion and Bio-Fouling, Institute of Oceanology, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao, 266071, China.
This study presents a novel method for detecting multiple pathogenic bacteria using DNA silver nanocluster (AgNCs)/graphene oxide (GO) composites. The system achieves sensitive and selective detection of bacteria like E. coli and S. aureus.
Area of Science:
- Nanotechnology
- Biotechnology
- Analytical Chemistry
Background:
- Accurate detection of pathogenic microorganisms is crucial for public health.
- Existing methods for multi-pathogen detection can be complex and time-consuming.
- Development of sensitive and selective sensing platforms is an ongoing challenge.
Purpose of the Study:
- To develop a novel DNA silver nanocluster (AgNCs)/graphene oxide (GO)-based system for the simultaneous determination of multiple pathogenic microorganisms.
- To utilize rolling circle amplification (RCA) for enhanced sensitivity in pathogen detection.
- To achieve a highly selective and efficient sensing platform for clinical applications.
Main Methods:
- Assembly of two different RCA-based DNA composites functionalized with DNA-stabilized AgNCs probes and ssDNA aptamers specific to target bacteria.
- Utilizing graphene oxide (GO) for capturing DNA composites and acting as a selective fluorescence quencher.
- Monitoring fluorescence signals generated upon target bacteria recognition and release of aptamers from GO.
Main Results:
- The developed platform successfully detected Escherichia coli and Staphylococcus aureus.
- Detection limits as low as 38 CFU/mL were achieved for both pathogens.
- The system demonstrated high selectivity and efficiency in distinguishing target bacteria.
Conclusions:
- The RCA/DNA-AgNCs/GO-based platform offers a promising approach for multi-pathogen determination.
- This method shows potential for applications in clinical diagnostics and therapy.
- The developed sensing platform is highly selective and efficient.
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