Summary
Extracellular vesicles (EVs) describe distinct populations of small (30-200 nm) and large (500 nm-2 μm)
microvesicles actively or passively secreted by cells. Whilst, they are recognized as promising biomarkers for
diseases diagnosis, prognosis and therapy, their purification, selective enrichment, and characterization remains
immensely challenging. The goal of the current proposal is to develop an optofluidic platform able to
manipulate and characterize single EVs and facilitate their efficient purification and quantitation from
biological samples. The optofluidic platform will incorporate a dynamically reconfigurable optical lattice
(constructed from a liquid gradient refractive index - L-GRIN microlens) for separation followed by a viscoelastic
focusing module for single EV imaging. The strength of the interaction between a nanoparticle and the optical
lattice will depend on the optical polarizability of the particle, thus providing a size selection criterion to allow
identification and isolation. Put simply, we aim to develop a size-selective optofluidic platform integrated for
non-invasive EVs sorting and fractionation that can be applied to a wide range of biological matrices and
addresses the most challenging technological bottleneck in EVs research.
microvesicles actively or passively secreted by cells. Whilst, they are recognized as promising biomarkers for
diseases diagnosis, prognosis and therapy, their purification, selective enrichment, and characterization remains
immensely challenging. The goal of the current proposal is to develop an optofluidic platform able to
manipulate and characterize single EVs and facilitate their efficient purification and quantitation from
biological samples. The optofluidic platform will incorporate a dynamically reconfigurable optical lattice
(constructed from a liquid gradient refractive index - L-GRIN microlens) for separation followed by a viscoelastic
focusing module for single EV imaging. The strength of the interaction between a nanoparticle and the optical
lattice will depend on the optical polarizability of the particle, thus providing a size selection criterion to allow
identification and isolation. Put simply, we aim to develop a size-selective optofluidic platform integrated for
non-invasive EVs sorting and fractionation that can be applied to a wide range of biological matrices and
addresses the most challenging technological bottleneck in EVs research.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/791144 |
Start date: | 01-08-2019 |
End date: | 31-07-2021 |
Total budget - Public funding: | 187 419,60 Euro - 187 419,00 Euro |
Cordis data
Original description
Extracellular vesicles (EVs) describe distinct populations of small (30-200 nm) and large (500 nm-2 μm)microvesicles actively or passively secreted by cells. Whilst, they are recognized as promising biomarkers for
diseases diagnosis, prognosis and therapy, their purification, selective enrichment, and characterization remains
immensely challenging. The goal of the current proposal is to develop an optofluidic platform able to
manipulate and characterize single EVs and facilitate their efficient purification and quantitation from
biological samples. The optofluidic platform will incorporate a dynamically reconfigurable optical lattice
(constructed from a liquid gradient refractive index - L-GRIN microlens) for separation followed by a viscoelastic
focusing module for single EV imaging. The strength of the interaction between a nanoparticle and the optical
lattice will depend on the optical polarizability of the particle, thus providing a size selection criterion to allow
identification and isolation. Put simply, we aim to develop a size-selective optofluidic platform integrated for
non-invasive EVs sorting and fractionation that can be applied to a wide range of biological matrices and
addresses the most challenging technological bottleneck in EVs research.
Status
CLOSEDCall topic
MSCA-IF-2017Update Date
28-04-2024
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