Single-Imaging Parasite-Quantification Microfluidic Device for Detection and Analysis of Schistosoma Eggs in Urine
The accurate diagnosis of schistosomiasis for effective disease surveillance, treatment, and follow-up is crucial to attain the World Health Organization's 2030 goal to eliminate schistosomiasis as a public health problem. The current diagnostic tools for urinary schistosomiasis, including the gold standard urine filtration test, have been reported to show low sensitivity in detecting low-intensity infections, which, when missed, act as reservoirs for infections-an evident gap in endemic areas where preventive chemotherapy reduces infection intensities. This study assessed the laboratory-based performance of the newly developed urinary Single Imaging Parasite Quantification chip for <i>Schistosoma haematobium</i> egg detection across different infection intensities. Two designs of the urinary chips were evaluated using polystyrene particles as a model for <i>Schistosoma haematobium</i> eggs, where the prototype design effectively captured the particles in the field of view with 96.00% to 100% efficiency. The second-generation chip, while eliminating the need for the air-drying step that was necessary in the operation of the prototype chip, similarly showed high capture efficiencies (95.20% to 96.00%). Overall, the prototype chip slightly outperformed the second-generation chip, and this difference was statistically significant (unpaired <i>t</i>-test, <i>p</i> = 0.0319). Testing of the prototype chip with spiked goat urine maintained high efficiencies of 99.33% to 100%. Similarly, both chip designs could trap real <i>Schistosoma haematobium</i> eggs in their fields of view, demonstrating their potential as diagnostic platforms that can contribute to improved diagnostics, disease surveillance, and monitoring.
Authors
- Matthieu Briet (ORCID: https://orcid.org/0000-0002-1571-2233)
- Jeffer Bhuko (ORCID: https://orcid.org/0000-0002-1118-2482)
- Wim De Malsche (ORCID: https://orcid.org/0000-0002-1955-7912)
- V. R. Misko (ORCID: https://orcid.org/0000-0002-5290-412X)
- Filip Legein (ORCID: https://orcid.org/0000-0002-3834-4875)
- Heaven David Chitemo
- Humphrey D. Mazigo
Institutions
- Vrije Universiteit Brussel (BE)
- Catholic University of Health and Allied Sciences (TZ)
Publication Details
- Journal
- Micromachines
- Published
- 2026-02-22
- DOI
- https://doi.org/10.3390/mi17020270
- Primary Topic
- Parasites and Host Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Vrije Universiteit Brussel
- Jimma University
- Vlaamse Interuniversitaire Raad
- VLIRUOS
- University of Health and Allied Sciences