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Foodborne Pathogen Screening Using Magneto-fluorescent Nanosensor: Rapid Detection of E. Coli O157:H7

Foodborne Pathogen Screening Using Magneto-fluorescent Nanosensor: Rapid Detection of E. Coli O157:H7

Published on: September 17, 2017

Multicolor Coding Up-Conversion Nanoplatform for Rapid Screening of Multiple Foodborne Pathogens.

Qiushi Hu^1,2, Qixiao Wu², Fengchun Huang^1,3

¹National Key Laboratory of Biochemical Engineering, PLA Key Laboratory of Biopharmaceutical Production & Formulation Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, P. R. China.

ACS Applied Materials & Interfaces

|June 2, 2021

Summary

This study developed multicolor up-conversion nanoparticles (UCNPs) for rapid, simultaneous detection of five foodborne pathogens. The novel nanoplatform offers high sensitivity and specificity within two hours for improved food safety.

Keywords:

foodborne pathogen multicolor coding multiplex detection photoluminescence up-conversion nanoparticles

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Area of Science:

Nanotechnology
Biomedical Engineering
Food Science

Background:

Foodborne diseases pose significant public health risks, necessitating rapid and accurate detection methods.
Existing detection technologies struggle with complex food matrices and the need for simultaneous pathogen screening.

Purpose of the Study:

To develop a novel nanoplatform for the rapid, simultaneous detection of five common foodborne pathogens.
To utilize multicolor coding up-conversion nanoparticles (UCNPs) for multiplexed pathogen identification and quantification.

Main Methods:

Synthesized multicolor coding UCNPs by doping NaYF4 core-shell nanocrystals with varying Yb3+ concentrations.
Employed magnetic nanoparticles (MNPs) functionalized with monoclonal antibodies (mAbs) for bacterial capture.
Developed a sandwich assay combining MNPs, target bacteria, and UCNP probes for signal generation.

Main Results:

UCNPs exhibited distinct red/green emission ratios (R/G ratios) based on Yb3+ doping, enabling multicolor coding.
The nanoplatform successfully detected five foodborne pathogens simultaneously within 2 hours.
Achieved good sensitivity and specificity in distinguishing and quantifying target pathogens.

Conclusions:

The proposed MNP-UCNP nanoplatform provides a sensitive, specific, and rapid method for multiplexed foodborne pathogen detection.
This technology holds significant potential for applications in food security and medical diagnostics.
The R/G ratio and photoluminescence intensity serve as reliable indicators for pathogen identification and quantification.