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Selective electrohydrodynamic concentration of waterborne parasites on a chip

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Abstract

Concentrating diluted samples is a key step to improve detection capabilities. The wise use of scaling laws shows the advantages of working with sub-microliter-sized samples. Rapid progress in MEMS technologies has driven the design of integrated platforms performing many biochemical operations. Here we report a new concentrator device based on electro-hydrodynamic forces which can be easily integrated into electrowetting-on-dielectric (EWOD) platforms. This approach is label-free and applicable to a wide range of micro-objects. The detection and analysis of two common waterborne parasites, Cryptosporidium and Giardia, is a perfect test case due to their global health relevance. By fully controlling the interplay of the various forces acting on the micron-sized Cryptosporidium parvum and Cryptosporidium muris oocysts, we show that it is possible to concentrate them on the side of a 10 μL initial drop and then extract them efficiently from a droplet of a few hundred nanoliters. We performed a finite element modeling of the forces acting on the parasites' oocysts to optimize the electrodes' shapes. We obtained state-of-the-art concentration factors of 12 ± 0.4 times and 2 to 4 times in the sub-region of the drop and the extracted droplet, respectively, with an efficiency of 70 ± 6%. Furthermore, this device had the ability to selectively concentrate parasites of different species out of a mix. We demonstrated this by segregating C. parvum oocysts from either Giardia lamblia cysts or its related species, C. muris oocysts.

Graphical abstract: Selective electrohydrodynamic concentration of waterborne parasites on a chip

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Publication details

The article was received on 13 Aug 2018, accepted on 21 Sep 2018 and first published on 04 Oct 2018


Article type: Paper
DOI: 10.1039/C8LC00840J
Citation: Lab Chip, 2018, Advance Article
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    Selective electrohydrodynamic concentration of waterborne parasites on a chip

    R. Lejard-Malki, J. Follet, A. Vlandas and V. Senez, Lab Chip, 2018, Advance Article , DOI: 10.1039/C8LC00840J

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