SERS sensing of cancer biomarkers

Anna Chiara De Luca; S. Manago; S. Mariggio; D. Corda; P. Reader-Harris; M. Mazilu; A. Di Falco

doi:10.1109/Fotonica.2014.6843927

SERS sensing of cancer biomarkers

Anna Chiara De Luca, S. Manago, S. Mariggio, D. Corda, P. Reader-Harris, M. Mazilu, A. Di Falco

School of Physics and Astronomy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this work, we establish the use a SERS biosensor based on gold fishnet as a label-free analytical technique for direct detection of glycerophosphoinositol (GroPIns). Here we demonstrate that with our approach we can quantitatively determine low concentration of GroPIns (200 nM) in multicomponent mixtures, with a high accuracy (up to 6%).

Original language	English
Title of host publication	2014 Fotonica AEIT Italian Conference on Photonics Technologies, Fotonica AEIT 2014
Publisher	IEEE Computer Society
ISBN (Print)	9788887237177
DOIs	https://doi.org/10.1109/Fotonica.2014.6843927
Publication status	Published - 2014
Event	2014 Fotonica AEIT Italian Conference on Photonics Technologies, Fotonica AEIT 2014 - Naples, Italy Duration: 12 May 2014 → 14 May 2014

Conference

Conference	2014 Fotonica AEIT Italian Conference on Photonics Technologies, Fotonica AEIT 2014
Country/Territory	Italy
City	Naples
Period	12/05/14 → 14/05/14

Keywords

Biosensing
Cancer
Fishnet
Reproducibility
SERS

UN SDGs

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

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10.1109/Fotonica.2014.6843927

Cite this

@inproceedings{dda19e6f185c49fea1ffc92e12c671df,

title = "SERS sensing of cancer biomarkers",

abstract = "In this work, we establish the use a SERS biosensor based on gold fishnet as a label-free analytical technique for direct detection of glycerophosphoinositol (GroPIns). Here we demonstrate that with our approach we can quantitatively determine low concentration of GroPIns (200 nM) in multicomponent mixtures, with a high accuracy (up to 6%).",

keywords = "Biosensing, Cancer, Fishnet, Reproducibility, SERS",

author = "{De Luca}, {Anna Chiara} and S. Manago and S. Mariggio and D. Corda and P. Reader-Harris and M. Mazilu and {Di Falco}, A.",

year = "2014",

doi = "10.1109/Fotonica.2014.6843927",

language = "English",

isbn = "9788887237177",

booktitle = "2014 Fotonica AEIT Italian Conference on Photonics Technologies, Fotonica AEIT 2014",

publisher = "IEEE Computer Society",

address = "United States",

note = "2014 Fotonica AEIT Italian Conference on Photonics Technologies, Fotonica AEIT 2014 ; Conference date: 12-05-2014 Through 14-05-2014",

}

De Luca, AC, Manago, S, Mariggio, S, Corda, D, Reader-Harris, P, Mazilu, M & Di Falco, A 2014, SERS sensing of cancer biomarkers. in 2014 Fotonica AEIT Italian Conference on Photonics Technologies, Fotonica AEIT 2014., 6843927, IEEE Computer Society, 2014 Fotonica AEIT Italian Conference on Photonics Technologies, Fotonica AEIT 2014, Naples, Italy, 12/05/14. https://doi.org/10.1109/Fotonica.2014.6843927

TY - GEN

T1 - SERS sensing of cancer biomarkers

AU - De Luca, Anna Chiara

AU - Manago, S.

AU - Mariggio, S.

AU - Corda, D.

AU - Reader-Harris, P.

AU - Mazilu, M.

AU - Di Falco, A.

PY - 2014

Y1 - 2014

N2 - In this work, we establish the use a SERS biosensor based on gold fishnet as a label-free analytical technique for direct detection of glycerophosphoinositol (GroPIns). Here we demonstrate that with our approach we can quantitatively determine low concentration of GroPIns (200 nM) in multicomponent mixtures, with a high accuracy (up to 6%).

AB - In this work, we establish the use a SERS biosensor based on gold fishnet as a label-free analytical technique for direct detection of glycerophosphoinositol (GroPIns). Here we demonstrate that with our approach we can quantitatively determine low concentration of GroPIns (200 nM) in multicomponent mixtures, with a high accuracy (up to 6%).

KW - Biosensing

KW - Cancer

KW - Fishnet

KW - Reproducibility

KW - SERS

UR - http://www.scopus.com/inward/record.url?scp=84904479864&partnerID=8YFLogxK

U2 - 10.1109/Fotonica.2014.6843927

DO - 10.1109/Fotonica.2014.6843927

M3 - Conference contribution

AN - SCOPUS:84904479864

SN - 9788887237177

BT - 2014 Fotonica AEIT Italian Conference on Photonics Technologies, Fotonica AEIT 2014

PB - IEEE Computer Society

T2 - 2014 Fotonica AEIT Italian Conference on Photonics Technologies, Fotonica AEIT 2014

Y2 - 12 May 2014 through 14 May 2014

ER -

SERS sensing of cancer biomarkers

Abstract

Conference

Keywords

UN SDGs

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