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Identification of Individual Exosome‐Like Vesicles by Surface Enhanced Raman Spectroscopy
Author(s) -
Stremersch Stephan,
Marro Monica,
Pinchasik BatEl,
Baatsen Pieter,
Hendrix An,
De Smedt Stefaan C.,
LozaAlvarez Pablo,
Skirtach Andre G.,
Raemdonck Koen,
Braeckmans Kevin
Publication year - 2016
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.201600393
Subject(s) - surface enhanced raman spectroscopy , vesicle , raman spectroscopy , exosome , microvesicles , nanotechnology , chemistry , colloidal gold , nanoparticle , biophysics , analytical chemistry (journal) , materials science , chromatography , biology , raman scattering , biochemistry , optics , membrane , physics , microrna , gene
Exosome‐like vesicles (ELVs) are a novel class of biomarkers that are receiving a lot of attention for the detection of cancer at an early stage. In this study the feasibility of using a surface enhanced Raman spectroscopy (SERS) based method to distinguish between ELVs derived from different cellular origins is evaluated. A gold nanoparticle based shell is deposited on the surface of ELVs derived from cancerous and healthy cells, which enhances the Raman signal while maintaining a colloidal suspension of individual vesicles. This nanocoating allows the recording of SERS spectra from single vesicles. By using partial least squares discriminant analysis on the obtained spectra, vesicles from different origin can be distinguished, even when present in the same mixture. This proof‐of‐concept study paves the way for noninvasive (cancer) diagnostic tools based on exosomal SERS fingerprinting in combination with multivariate statistical analysis.