Data for "Estimation of semiconductor-like pigment concentrations in paint mixtures and their differentiation from paint layers using first-derivative reflectance spectra"
This repository contains key raw data to accompany the article "Estimation of semiconductor-like pigment concentrations in paint mixtures and their differentiation from paint layers using first-derivative reflectance spectra".
This repository contains key raw data to accompany the article "Estimation of semiconductor-like pigment concentrations in paint mixtures and their differentiation from paint layers using first-derivative reflectance spectra".
The repository includes a complete set of reflectance spectra recorded from the paint samples prepared for this work, plus the optimised structures and electronic density-of-states and band-dispersion curves obtained from complementary modelling studies on the three coloured pigments investigated, viz. alpha-HgS (vermillion), tetragonal Pb3O4 (red lead) and SnPb2O4 (lead-tin yellow).
Abstract of the publication:
Identification of the techniques employed by artists, e.g. mixing and layering of paints, if used together with information about their colour palette and style, can help to attribute works of art with more confidence. In this study, we show how the pigment composition in binary paint mixtures can be quantified using optical-reflectance spectroscopy, by analysis of the peak features corresponding to colour-transition edges in the first-derivative spectra. This technique is found to be more robust than a number of other spectral-analysis methods, which can suffer due to shifts in the transition edges in mixed paints compared to those observed in spectra of pure ones. Our method also provides a means of distinguishing paint mixtures from layering in some cases. The spectroscopy also shows the presence of multiple electronic transitions, accessible within a narrow energy range, to be a common feature of many coloured pigments, which electronic-structure calculations attribute to shallow band edges. We also demonstrate the successful application of the reflectance-analysis technique to painted areas on a selection of medieval illuminated manuscripts.
Cite this dataset as:
Pallipurath, A.,
Skelton, J.,
Ricciardi, P.,
2016.
Data for "Estimation of semiconductor-like pigment concentrations in paint mixtures and their differentiation from paint layers using first-derivative reflectance spectra".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00183.
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Data
Reflectance-Spectra.tar.gz
application/x-gzip (2MB)
Creative Commons: Attribution 4.0
GZip-compressed TAR-format archive of reflectance spectra recorded from the paint samples prepared for the referenced publication.
Computational-Modelling.tar.gz
application/x-gzip (589kB)
Creative Commons: Attribution 4.0
GZip-compressed TAR-format archive of the key output from the first-principles modelling work performed for the referenced publication. Includes the optimised structures and the calculated electronic density-of-states and band-dispersion curves.
Access restrictions apply
Creators
Anuradha Pallipurath
National University of Ireland, Galway; University of Cambridge
Jonathan Skelton
University of Bath
Paola Ricciardi
University of Cambridge
Contributors
Stephen Elliott
Project Leader
University of Cambridge
University of Bath
Rights Holder
Documentation
Methodology link:
Pallipurath, A. R., Skelton, J. M., Ricciardi, P., and Elliott, S. R., 2016. Estimation of semiconductor-like pigment concentrations in paint mixtures and their differentiation from paint layers using first-derivative reflectance spectra. Talanta, 154, 63-72. Available from: https://doi.org/10.1016/j.talanta.2016.03.052.
Documentation Files
README.rtf
text/rtf (99kB)
Creative Commons: Attribution 4.0
Funders
Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266
Applying Long-Lived Metastable States in Switchable Functionality via Kinetic Control of Molecular Assembly - a Programme in Functional Materials
EP/K004956/1
Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266
Materials Chemistry High End Computing Consortium
EP/L000202/1
Trinity College, University of Cambridge
https://doi.org/10.13039/501100000727
St John's College, University of Cambridge
Publication details
Publication date: 2016
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-00183
URL for this record: https://researchdata.bath.ac.uk/id/eprint/183
Related papers and books
Pallipurath, A. R., Skelton, J. M., Ricciardi, P., and Elliott, S. R., 2016. Estimation of semiconductor-like pigment concentrations in paint mixtures and their differentiation from paint layers using first-derivative reflectance spectra. Talanta, 154, 63-72. Available from: https://doi.org/10.1016/j.talanta.2016.03.052.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Jonathan Skelton
Faculty of Science
Chemistry