Characterization of the Dielectrophoretic Response of Different Candida Strains Using 3D Carbon Microelectrodes

Monsur Islam1,2, Devin Keck1, Jordon Gilmore1,3

  • 1Multiscale Manufacturing Laboratory, Mechanical Engineering Department, Clemson University, Clemson, SC 29634, USA.

Micromachines
|March 4, 2020
PubMed

Insights

Dielectrophoresis (DEP) separates Candida fungal strains based on their unique electrical responses. This method aids in rapid identification of bloodstream infection-causing Candida species for effective treatment.

Area of Science:

  • Biophysics
  • Medical Mycology
  • Analytical Chemistry

Background:

  • Bloodstream infections caused by Candida species are a major global health concern.
  • Increasing resistance to antifungal drugs necessitates rapid and accurate identification of Candida strains.
  • Current diagnostic methods may not always differentiate species effectively, impacting treatment decisions.

Purpose of the Study:

  • To characterize the dielectrophoresis (DEP) response of key Candida species: Candida albicans, Candida tropicalis, and Candida parapsilosis.
  • To investigate the correlation between Candida cell morphology and their DEP behavior.
  • To explore the potential of DEP for species-specific isolation and enrichment of Candida.

Main Methods:

  • Dielectrophoresis (DEP) measurements were performed on Candida albicans, Candida tropicalis, and Candida parapsilosis.
  • Cell morphology and dimensions of the Candida strains were analyzed.
  • DEP responses were assessed across a range of frequencies (10-750 kHz).

Main Results:

  • Subtle differences in morphology and dimensions were observed among the Candida strains.
  • All tested Candida strains exhibited positive DEP in the 10-500 kHz range, with varying strengths.
  • Candida tropicalis uniquely showed positive DEP at 750 kHz, differentiating it from the other strains.

Conclusions:

  • Dielectrophoresis presents a promising label-free technique for differentiating and isolating specific Candida species.
  • DEP conditions can be optimized for the manipulation and enrichment of target Candida strains.
  • This approach has the potential to significantly improve the speed and accuracy of Candida bloodstream infection diagnosis.

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