4.6 Article

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

Journal

ACS SENSORS
Volume 3, Issue 10, Pages 2175-2181

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssensors.8b00785

Keywords

pathogens detection; dark-field microscope; magnetic nanoparticles; Cryptosporidium parvum; garland-like structure

Funding

  1. Yangzhou University [137011016]
  2. Priority Academic Program Development of Jiangsu Higher Education Institution (PAPD)
  3. Endeavour Research Fellowship by the Commonwealth of Australia
  4. National Natural Science Foundation of China [31702298]
  5. Natural Science Foundation of Jiangsu Province, China [BK20140686]
  6. Australian Research Council [FT140101285]

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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.

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