Label-free impedance detection of low levels of circulating endothelial progenitor cells for point-of-care diagnosis

Ng, S.Y., Reboud, J. , Wang, K.Y.P., Tang, K.C., Zhang, L., Wong, P., Moe, K.T., Shim, W. and Chen, Y. (2010) Label-free impedance detection of low levels of circulating endothelial progenitor cells for point-of-care diagnosis. Biosensors and Bioelectronics, 25(5), pp. 1095-1101. (doi:10.1016/j.bios.2009.09.031)

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Abstract

This paper presents a novel microfluidic system for rapid label-free detection of endothelial progenitor cells (EPCs) from small volumes of white blood cells samples, to obtain a bedside cardiovascular diagnostic solution. The system was built on a single 1 cm2 microelectrode array silicon chip, integrated with negative dielectrophoresis for cell trapping, surface immunochemistry for selective cell capture, and fluidics for cell washing and impedance detection. The level of circulating EPC level in blood is a biomarker of clinical interest, linked to the assessment of risk factors in cardiovascular diseases which are a major global concern. Rare EPCs are usually detected through in vitro culture or flow cytometry, which are too time-consuming to bring timely reports in acute diseases. Although microfluidics approaches have enabled reduced processing time and enhanced portability, their sensitivity and processing volumes are still inadequate for rare cell detection at a bedside setting. Using small highly sensitive microelectrodes, our novel integrated system achieved the detection of 720 EPCs in a small 12 μl sample of 72,000 peripheral blood mononuclear cells (PBMC), i.e. equivalent to a concentration of EPCs of 0.1% of 100 μl blood. This demonstrated that clinically significant level of EPCs (<0.5% of PBMC) could be detected for the first time on a detection system at bedside set-up, showing great potential in applications for point-of-care diagnosis.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Reboud, Dr Julien
Authors: Ng, S.Y., Reboud, J., Wang, K.Y.P., Tang, K.C., Zhang, L., Wong, P., Moe, K.T., Shim, W., and Chen, Y.
College/School:College of Science and Engineering > School of Engineering > Biomedical Engineering
Journal Name:Biosensors and Bioelectronics
Publisher:Elsevier
ISSN:0956-5663

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