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

被引:8
作者
Stollmann, Alexia [1 ]
Garcia-Guirado, Jose [1 ]
Hong, Jae-Sang [2 ]
Ruedi, Pascal [1 ]
Im, Hyungsoon [2 ,3 ]
Lee, Hakho [2 ,3 ]
Arroyo, Jaime Ortega [1 ]
Quidant, Romain [1 ]
机构
[1] Dept Mech & Proc Engn, Nanophoton Syst Lab, ETH Zurich, CH-8092 Zurich, Switzerland
[2] Massachusetts Gen Hosp, Ctr Syst Biol, Boston, MA 02114 USA
[3] Massachusetts Gen Hosp, Harvard Med Sch, Dept Radiol, Boston, MA 02114 USA
基金
芬兰科学院; 瑞士国家科学基金会; 美国国家卫生研究院;
关键词
EXTRACELLULAR VESICLES; MEMBRANE CURVATURE; PARTICLE TRACKING; MASS-TRANSPORT; PORE FORMATION; SINGLE; SURFACE; MICROSCOPY;
D O I
10.1038/s41467-024-48132-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. Biosensing tools to detect multiple analytes in a high-throughput manner are still hindered by many limitations. Here, the authors present a label-free optofluidic platform integrating digital holography and microfluidics for analyte detection, allowing for the fingerprinting of heterogenous biological samples.
引用
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页数:14
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