Research data supporting "Controlling atomic-scale restructuring and cleaning of gold nanogap multilayers for SERS sensing"
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Description
This dataset contains raw spectral data associated with the main figures in a publication detailing a new thin-film multi-layer gold nanoparticle aggregate ('MLagg') surface-enhanced Raman spectroscopy (SERS) substrate. SERS and dark-field (DF) scattering measurements were collected by mapping spectra across the substrate surface. The DF data is referenced to a white light scattering target and has been background subtracted to remove dark counts. The dataset characterises the MLagg substrate, demonstrates surface cleaning and functionalisation control methods, as well as the substrate's application for in-flow sensing of paracetamol and detection of vapours such as toluene.
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All files are in text format, graphs can be plotted using excel, open office or other data visualisation tool.
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Except where otherwised noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)
Sponsorship
Engineering and Physical Sciences Research Council (EP/R020965/1)
Engineering and Physical Sciences Research Council (EP/L015889/1)
European Commission Horizon 2020 (H2020) ERC (883703)
Engineering and Physical Sciences Research Council (EP/L027151/1)
Engineering and Physical Sciences Research Council (EP/P029426/1)
Royal Society (URF\R1\211162)
Engineering and Physical Sciences Research Council (EP/P024947/1)
Engineering and Physical Sciences Research Council (EP/L015889/1)
European Commission Horizon 2020 (H2020) ERC (883703)
Engineering and Physical Sciences Research Council (EP/L027151/1)
Engineering and Physical Sciences Research Council (EP/P029426/1)
Royal Society (URF\R1\211162)
Engineering and Physical Sciences Research Council (EP/P024947/1)
The authors acknowledge financial support from EPSRC Grants (EP/L027151/1, RANT
EP/R020965/1, EP/P029426/1) and ERC PICOFORCE (883703). D.-B.G. and S.M.S-T. are
supported by EPSRC Grant EP/L015889/1 for the EPSRC Centre for Doctoral Training in
Sensor Technologies and Applications. S.M.S.-T. is part supported by the University of
Cambridge Harding Distinguished Postgraduate Scholars Programme. M.N. is supported
by a Gates Cambridge fellowship (OPP1144). B.dN acknowledges support from the Royal
Society (URF\R1\211162). R.A. acknowledges support from the Rutherford Foundation of
the Royal Society Te Apārangi of New Zealand, and the Winton Programme for the Physics
of Sustainability and Trinity College, University of Cambridge.
The authors acknowledge the use of the Cambridge XPS System, part of Sir Henry Royce
Institute Cambridge Equipment, EPSRC grant EP/P024947/1.