45
IRUS Total
Downloads
  Altmetric

Surface enhanced raman scattering artificial nose for high dimensionality fingerprinting

File Description SizeFormat 
s41467-019-13615-2.pdfPublished version4.93 MBAdobe PDFView/Open
Title: Surface enhanced raman scattering artificial nose for high dimensionality fingerprinting
Authors: Kim, N
Thomas, MR
Bergholt, MS
Pence, IJ
Seong, H
Charchar, P
Todorova, N
Nagelkerke, A
Belessiotis-Richard, A
Payne, D
Gelmi, A
Yarovsky, I
Stevens, M
Item Type: Journal Article
Abstract: Label-free surface-enhanced Raman spectroscopy (SERS) can interrogate systems by directly fingerprinting its components’ unique physicochemical properties. In complex biological systems however, 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.
Issue Date: 10-Jan-2020
Date of Acceptance: 11-Nov-2019
URI: http://hdl.handle.net/10044/1/74915
DOI: 10.1038/s41467-019-13615-2
ISSN: 2041-1723
Publisher: Nature Research (part of Springer Nature)
Start Page: 1
End Page: 12
Journal / Book Title: Nature Communications
Volume: 11
Copyright Statement: © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/.
Sponsor/Funder: Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (E
Medical Research Council (MRC)
Commission of the European Communities
Commission of the European Communities
Commission of the European Communities
Engineering and Physical Sciences Research Council
The Royal Society
The Royal Society
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/K031953/1
WT406114
538559, MR/P024378/1
660757
701713
797311
EP/L015277/1
UF100105
UF150693
EP/M028291/1
Publication Status: Published
Article Number: 207
Online Publication Date: 2020-01-10
Appears in Collections:Materials
Faculty of Natural Sciences
Faculty of Engineering