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Updated: May 10, 2025

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In Vivo Assessment of Rodent Plasmodium Parasitemia and Merozoite Invasion by Flow Cytometry
Published on: April 5, 2015
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Waterborne protozoan parasite detection using two-frequency impedance flow cytometry
Yunhao Peng1, Bruce K Gale2, Himanshu J Sant3
1Department of Electrical & Computer Engineering, University of Utah, Salt Lake City, USA.
Analytical Methods : Advancing Methods and Applications
|April 22, 2025
Summary
A novel microfluidic system using impedance flow cytometry (IFC) effectively detects and differentiates waterborne parasitic protozoa like Giardia and Cryptosporidium at the individual cyst level in real water sources.
Area of Science:
- Environmental Science
- Biotechnology
- Analytical Chemistry
Background:
- Waterborne parasitic protozoa cause significant gastrointestinal diseases in humans and animals.
- Existing water treatment methods are insufficient, necessitating continuous monitoring for early detection of parasites.
Purpose of the Study:
- To develop and validate a microfluidic system for real-time detection and identification of waterborne parasitic protozoa.
- To discriminate between Giardia and Cryptosporidium (oo)cysts at the individual level in flowing water.
Main Methods:
- A microfluidic channel with micromachined differential coplanar microelectrodes was designed.
- Two-frequency impedance flow cytometry (IFC) was employed, applying simultaneous low and high frequencies.
- Amplitude and phase variances were measured to characterize and identify parasitic (oo)cysts and non-parasitic particles.
Main Results:
- The system achieved a detection limit of <0.1% volume ratio for individual (oo)cysts.
- High discrimination between parasitic (oo)cysts and polystyrene particles was demonstrated.
- Successful detection and identification were achieved in both deionized and filtered creek water.
Conclusions:
- The proposed IFC system offers a sensitive and specific method for continuous monitoring of waterborne parasitic protozoa.
- The use of differential coplanar electrodes and dual-frequency analysis enhances detection capabilities in natural water environments.

