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Plasmonic nanohole array biosensor for label-free and real-time analysis of live cell secretion

Abstract

Cell secretion dynamics play a central role in physiological and disease processes. Due to its various temporal profiles, it is essential to implement a precise detection scheme for continuous monitoring of secretion in real time. The current fluorescent and colorimetric approaches hinder such applications due to their multiple time-consuming steps, molecular labeling, and especially the ‘snapshot’ endpoint readouts. Here, we develop a nanoplasmonic biosensor for real-time monitoring of live cell cytokine secretion in a label-free configuration. Our nanoplasmonic biosensor is composed of gold nanohole arrays supporting extraordinary optical transmission (EOT), which enables a sensitive and high-throughput analysis of biomolecules. The nanobiosensor is integrated to an adjustable microfluidic cell module for the analysis of live cells under well-controlled culture conditions. We achieved an outstanding sensitivity for detection of vascular endothelial growth factor (VEGF) directly from complex cell media. Significantly, the secretion dynamics from live cancer cells were monitored and quantified for 10 hours while preserving good cell viability. This novel approach of probing cytokine secretion activity is compatible with conventional inverted microscopes equipped in a common biology laboratory. With its simple optical setup and label-free detection configuration, we anticipate our nanoplasmonic biosensor to be a powerful tool as a lab-on-chip device to analyze cellular activities for fundamental cell research and biotechnologies.

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Supplementary files

Publication details

The article was received on 15 Mar 2017, accepted on 19 May 2017 and first published on 19 May 2017


Article type: Paper
DOI: 10.1039/C7LC00277G
Citation: Lab Chip, 2017, Accepted Manuscript
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    Plasmonic nanohole array biosensor for label-free and real-time analysis of live cell secretion

    X. Li, M. Soler, C. I. Özdemir, A. Belushkin, F. Yesilkoy and H. Altug, Lab Chip, 2017, Accepted Manuscript , DOI: 10.1039/C7LC00277G

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