Identification of individual exosome-like vesicles by surface enhanced raman spectroscopy

Stephan Stremersch; Monica Marro; Bat El Pinchasik; Pieter Baatsen; An Hendrix; Stefaan C. De Smedt; Pablo Loza-Alvarez; Andre G. Skirtach; Koen Raemdonck; Kevin Braeckmans

doi:10.1002/smll.201600393

Identification of individual exosome-like vesicles by surface enhanced raman spectroscopy

Stephan Stremersch, Monica Marro, Bat El Pinchasik, Pieter Baatsen, An Hendrix, Stefaan C. De Smedt, Pablo Loza-Alvarez, Andre G. Skirtach, Koen Raemdonck, Kevin Braeckmans

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	3292-3301
Number of pages	10
Journal	Small
Volume	12
Issue number	24
DOIs	https://doi.org/10.1002/smll.201600393
State	Published - Jun 2016
Externally published	Yes

All Science Journal Classification (ASJC) codes

Biotechnology
General Chemistry
Biomaterials
General Materials Science
Engineering (miscellaneous)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/smll.201600393

Cite this

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title = "Identification of individual exosome-like vesicles by surface enhanced raman spectroscopy",

abstract = "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.",

author = "Stephan Stremersch and Monica Marro and Pinchasik, {Bat El} and Pieter Baatsen and An Hendrix and {De Smedt}, {Stefaan C.} and Pablo Loza-Alvarez and Skirtach, {Andre G.} and Koen Raemdonck and Kevin Braeckmans",

note = "Publisher Copyright: {\textcopyright} 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.",

year = "2016",

month = jun,

doi = "10.1002/smll.201600393",

language = "الإنجليزيّة",

volume = "12",

pages = "3292--3301",

journal = "Small",

issn = "1613-6810",

publisher = "Wiley-VCH Verlag",

number = "24",

}

TY - JOUR

T1 - Identification of individual exosome-like vesicles by surface enhanced raman spectroscopy

AU - Stremersch, Stephan

AU - Marro, Monica

AU - Pinchasik, Bat El

AU - Baatsen, Pieter

AU - Hendrix, An

AU - De Smedt, Stefaan C.

AU - Loza-Alvarez, Pablo

AU - Skirtach, Andre G.

AU - Raemdonck, Koen

AU - Braeckmans, Kevin

PY - 2016/6

Y1 - 2016/6

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84975091178&partnerID=8YFLogxK

U2 - 10.1002/smll.201600393

DO - 10.1002/smll.201600393

M3 - مقالة

C2 - 27171437

SN - 1613-6810

VL - 12

SP - 3292

EP - 3301

JO - Small

JF - Small

IS - 24

ER -

Identification of individual exosome-like vesicles by surface enhanced raman spectroscopy

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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