Imperial College London
Alternate

Professor Molly Stevens

Faculty of Engineering, Department of Materials

Professor of Biomedical Materials and Regenerative Medicine
 
 
 
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Contact

 

+44 (0)20 7594 6804m.stevens

 
 
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Location

 

208Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kim:2020:10.1038/s41467-019-13615-2,
author = {Kim, N and Thomas, MR and Bergholt, MS and Pence, IJ and Seong, H and Charchar, P and Todorova, N and Nagelkerke, A and Belessiotis-Richard, A and Payne, D and Gelmi, A and Yarovsky, I and Stevens, M},
doi = {10.1038/s41467-019-13615-2},
journal = {Nature Communications},
title = {Surface enhanced raman scattering artificial nose for high dimensionality fingerprinting},
url = {http://dx.doi.org/10.1038/s41467-019-13615-2},
volume = {11},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Label-free surface-enhanced Raman spectroscopy (SERS) can interrogate systems by directly fingerprinting its components’ unique physicochemical properties. In complex biological systemshowever, this can yield highly overlapping spectra that hinder sample identification. Here, we present an artificial-nose inspired SERS fingerprinting approach where spectral data is obtained as a function of sensor surface chemical functionality. Supported by molecular dynamics modelling, we show that mildly selective self-assembled monolayers can influence the strength and configuration in which analytes interact with plasmonic surfaces, diversifying the resulting SERS fingerprints. Since each sensor generates a modulated signature, the implicit value of increasing the dimensionality of datasets is shown using cell lysates for all possible combinations of up to 9 fingerprints. Reliable improvements in mean discriminatory accuracy towards 100% is achieved with each additional surface functionality. This arrayed label-free platform illustrates the wide-ranging potential of high dimensionality artificial-nose based sensing systems for more reliable assessment of complex biological matrices.
AU  - Kim,N
AU  - Thomas,MR
AU  - Bergholt,MS
AU  - Pence,IJ
AU  - Seong,H
AU  - Charchar,P
AU  - Todorova,N
AU  - Nagelkerke,A
AU  - Belessiotis-Richard,A
AU  - Payne,D
AU  - Gelmi,A
AU  - Yarovsky,I
AU  - Stevens,M
DO  - 10.1038/s41467-019-13615-2
PY  - 2020///
SN  - 2041-1723
TI  - Surface enhanced raman scattering artificial nose for high dimensionality fingerprinting
T2  - Nature Communications
UR  - http://dx.doi.org/10.1038/s41467-019-13615-2
UR  - https://www.nature.com/articles/s41467-019-13615-2
UR  - http://hdl.handle.net/10044/1/74915
VL  - 11
ER  -
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