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New insights into the application of pair distribution function studies to biogenic and synthetic hydroxyapatites.
Arnold, Emily L; Keeble, Dean S; Greenwood, Charlene; Rogers, Keith D.
Afiliação
  • Arnold EL; Cranfield Forensic Institute, Cranfield University, Shrivenham, SN6 8LA, UK. e.arnold@cranfield.ac.uk.
  • Keeble DS; Diamond Light Source, Didcot, OX11 0QX, UK.
  • Greenwood C; School of Chemical and Physical Sciences, Keele University, Keele, ST5 5BJ, UK.
  • Rogers KD; Cranfield Forensic Institute, Cranfield University, Shrivenham, SN6 8LA, UK.
Sci Rep ; 10(1): 19597, 2020 11 11.
Article em En | MEDLINE | ID: mdl-33177578
ABSTRACT
Biogenic and synthetic hydroxyapatites are confounding materials whose properties remain uncertain, even after years of study. Pair distribution function (PDF) analysis was applied to hydroxyapatites in the 1970's and 1980's, but this area of research has not taken full advantage of the relatively recent advances in synchrotron facilities. Here, synchrotron X-ray PDF analysis is compared to techniques commonly used to characterise hydroxyapatite (such as wide angle X-ray scattering, Fourier-transform infrared spectroscopy and thermogravimetric analysis) for a range of biogenic and synthetic hydroxyapatites with a wide range of carbonate substitution. Contributions to the pair distribution function from collagen, carbonate and finite crystallite size were examined through principal component analysis and comparison of PDFs. Noticeable contributions from collagen were observed in biogenic PDFs when compared to synthetic PDFs (namely r < 15 Å), consistent with simulated PDFs of collagen structures. Additionally, changes in local structure were observed for PDFs of synthetic hydroxyapatites with differing carbonate content, notably in features near 4 Å, 8 Å and 19 Å. Regression models were generated to predict carbonate substitution from peak position within the PDFs.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article