RMIT University
Browse

Fast and Highly Sensitive Detection of Pathogens Wreathed with Magnetic Nanoparticles Using Dark-Field Microscopy

journal contribution
posted on 2024-11-02, 09:16 authored by Fenglei Chen, Fang Tang, Chih-Tsung Yang, Xinyao Zhao, Jun Wang, Benjamin Thierry, Vipul BansalVipul Bansal, Jianjun Dai, Xin Zhou
Cryptosporidium parvum (C. parvum) is a highly potent zoonotic pathogen, which can do significant harm to both human beings and livestock. However, existing technologies or methods are deficient for rapid on-site detection of water contaminated with C. parvum. Better detection approaches are needed to allow water management agencies to stop major breakouts of the pathogen. Herein, we present a novel detection method for cryptosporidium in a tiny drop of sample using a magnetic nanoparticle (MNP) probe combined with dark-field microscopy in 30 min. The designed MNP probes bind with high affinity to C. parvum, resulting in the formation of a golden garland-like structure under dark-field microscopy. This MNP-based dark-field counting strategy yields an amazing PCR-like sensitivity of 8 attomolar (aM) (5 pathogens in 1 mu L). Importantly, the assay is very rapid (similar to 30 min) and is very simple to perform as it involves only one step of mixing and magnetic separation, followed by dropping on a slide for counting under dark-field microscope. By combining the advantages of the specific light-scattering characteristic of MNP probe under dark field and the selective magnetic separation ability of functionalized MNP, the proposed MNP-based dark-field enumeration method offers low cost and significant translational potential.

History

Journal

ACS Sensors

Volume

3

Issue

10

Start page

2175

End page

2181

Total pages

7

Publisher

American Chemical Society

Place published

United States

Language

English

Copyright

© 2018 American Chemical Society

Former Identifier

2006089302

Esploro creation date

2020-06-22

Fedora creation date

2019-01-31

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC