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Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform
Label-free detecting 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 throug...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cornell University
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441434/ https://www.ncbi.nlm.nih.gov/pubmed/37608933 |
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author | Stollmann, Alexia Garcia-Guirado, Jose Hong, Jae-Sang Im, Hyungsoon Lee, Hakho Arroyo, Jaime Ortega Quidant, Romain |
author_facet | Stollmann, Alexia Garcia-Guirado, Jose Hong, Jae-Sang Im, Hyungsoon Lee, Hakho Arroyo, Jaime Ortega Quidant, Romain |
author_sort | Stollmann, Alexia |
collection | PubMed |
description | Label-free detecting 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. Herein, we first thoroughly 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 is required. |
format | Online Article Text |
id | pubmed-10441434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cornell University |
record_format | MEDLINE/PubMed |
spelling | pubmed-104414342023-08-22 Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform Stollmann, Alexia Garcia-Guirado, Jose Hong, Jae-Sang Im, Hyungsoon Lee, Hakho Arroyo, Jaime Ortega Quidant, Romain ArXiv Article Label-free detecting 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. Herein, we first thoroughly 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 is required. Cornell University 2023-08-11 /pmc/articles/PMC10441434/ /pubmed/37608933 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Stollmann, Alexia Garcia-Guirado, Jose Hong, Jae-Sang Im, Hyungsoon Lee, Hakho Arroyo, Jaime Ortega Quidant, Romain Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform |
title | Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform |
title_full | Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform |
title_fullStr | Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform |
title_full_unstemmed | Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform |
title_short | Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform |
title_sort | molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441434/ https://www.ncbi.nlm.nih.gov/pubmed/37608933 |
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