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Journal article

Lab-on-a-disk extraction of PBMC and metered plasma from whole blood: An advanced event-triggered valving strategy

From

Department of Health Technology, Technical University of Denmark1

Dublin City University2

Nanoprobes, Drug Delivery and Sensing, Department of Health Technology, Technical University of Denmark3

Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Department of Health Technology, Technical University of Denmark4

In this paper, we present a centrifugal microfluidic concept employing event-triggered valving for automated extraction of metered plasma and peripheral blood mononuclear cells (PBMCs). This "lab-on-a-disk"system has been developed for retrieving different density layers from a liquid column by "overflowing"the layers sequentially using the pressure exerted by a density-gradient liquid.

Defined volumes of plasma and PBMCs were efficiently forwarded into designated microfluidic chambers as a sample preparation step prior to further downstream processing. Furthermore, the extracted PBMCs were counted directly on-disk using an automated optical unit by object-based image analysis, thus eliminating the requirement for the post-processing of the extracted PBMCs.

This study is a direct continuation of our previous work1 where we demonstrated combined on-disk detection of C-reactive protein and quantification of PBMCs following on-disk extraction of plasma and PBMCs from a single blood sample using a centrifugo-pneumatic valving mechanism. However, the former valving technique featured limited PBMC extraction efficiency.

Here, integrating the novel concept along with event-triggered valving mechanism, we eliminated the occurrence of a specific microfluidic effect, which led us to increase PBMC extraction efficiency to 88%. This extraction method has the potential to be utilized for efficiently separating multiple density layers from a liquid sample in relevant biomedical applications.

Language: English
Publisher: AIP Publishing LLC
Year: 2021
Pages: 064102
ISSN: 19321058
Types: Journal article
DOI: 10.1063/5.0066128
ORCIDs: 0000-0002-0169-9023 , 0000-0003-1968-2016 , 0000-0002-0366-1897 and Boisen, Anja

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