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Simultaneous aptasensor for multiplex pathogenic bacteria detection based on multicolor upconversion nanoparticles

Shijia Wu1, Nuo Duan, Zhao Shi

  • 1State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Synergetic Innovation Center of Food Safety and Nutrition, Jiangnan University , Wuxi 214122, China.

Analytical Chemistry
|February 27, 2014
PubMed
Summary
This summary is machine-generated.

This study presents a novel multiplex method for detecting three pathogenic bacteria simultaneously using multicolor upconversion nanoparticles (UCNPs) and aptamers. The developed biosensor offers high sensitivity and specificity for food safety applications.

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Area of Science:

  • Nanotechnology
  • Biotechnology
  • Analytical Chemistry

Background:

  • Pathogenic bacteria pose a significant threat to public health and food safety.
  • Existing detection methods often lack sensitivity, specificity, or the ability for multiplexed detection.

Purpose of the Study:

  • To develop a highly sensitive and specific multiplex method for simultaneous detection of Staphylococcus aureus, Vibrio parahemolyticus, and Salmonella typhimurium.
  • To utilize multicolor upconversion nanoparticles (UCNPs) as luminescence labels and aptamers as recognition elements.

Main Methods:

  • Synthesized multicolor UCNPs by doping with rare-earth ions for distinct emission peaks.
  • Selected specific aptamers for each target bacterium using the SELEX strategy.
  • Integrated aptamers and UCNPs for selective capture and simultaneous quantification of bacteria.

Main Results:

  • Achieved linear correlation between bacterial concentration (50-10^6 cfu mL⁻¹) and luminescence signal.
  • Obtained low limits of detection: 25 cfu mL⁻¹ for S. aureus, 10 cfu mL⁻¹ for V. parahemolyticus, and 15 cfu mL⁻¹ for S. typhimurium.
  • Demonstrated successful application in real food samples with results consistent with plate-counting methods.

Conclusions:

  • The developed multicolor UCNP-based aptasensor provides a sensitive and specific platform for multiplexed detection of foodborne pathogens.
  • This method shows great potential for enhancing food safety monitoring and developing advanced multiplex nanosensors.