Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform

Alexia Stollmann, Jose Garcia-Guirado, Jae-Sang Hong, Pascal Rüedi, Hyungsoon Im, Hakho Lee, Jaime Ortega Arroyo () and Romain Quidant ()
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Alexia Stollmann: ETH Zurich
Jose Garcia-Guirado: ETH Zurich
Jae-Sang Hong: Massachusetts General Hospital
Pascal Rüedi: ETH Zurich
Hyungsoon Im: Massachusetts General Hospital
Hakho Lee: Massachusetts General Hospital
Jaime Ortega Arroyo: ETH Zurich
Romain Quidant: ETH Zurich

Nature Communications, 2024, vol. 15, issue 1, 1-14

Abstract: Abstract Label-free detection of multiple analytes in a high-throughput fashion has been one of the long-sought goals in biosensing applications. Yet, for all-optical approaches, interfacing state-of-the-art label-free techniques with microfluidics tools that can process small volumes of sample with high throughput, and with surface chemistry that grants analyte specificity, poses a critical challenge to date. Here, we introduce an optofluidic platform that brings together state-of-the-art digital holography with PDMS microfluidics by using supported lipid bilayers as a surface chemistry building block to integrate both technologies. Specifically, this platform fingerprints heterogeneous biological nanoparticle populations via a multiplexed label-free immunoaffinity assay with single particle sensitivity. First, we characterise the robustness and performance of the platform, and then apply it to profile four distinct ovarian cell-derived extracellular vesicle populations over a panel of surface protein biomarkers, thus developing a unique biomarker fingerprint for each cell line. We foresee that our approach will find many applications where routine and multiplexed characterisation of biological nanoparticles are required.

Date: 2024
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DOI: 10.1038/s41467-024-48132-4

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