Research Data Leeds Repository
Dataset for 'Tuning hardness in calcite by incorporation of amino acids'
Citation
Kim, Yi-Yeoun (2016) Dataset for 'Tuning hardness in calcite by incorporation of amino acids'. University of Leeds. [Dataset] https://doi.org/10.5518/46
Dataset description
This work investigates the origin of the superior hardness of biogenic calcite by creating “model biominerals” from calcite single crystals containing glycine (0-7 mol%) or aspartic acid (0-4 mol%). Lattice distortions in these crystals were analyzed using x-ray diffraction and molecular dynamics simulations, while SS-NMR showed that the amino acids are incorporated as individual molecules. Nanoindentation hardness increased with amino acid content, reaching values equivalent to their biogenic counterparts. Finally, a dislocation pinning model reveals that the enhanced hardness is determined by the force required to cut covalent bonds in the molecules.
Subjects: | F000 - Physical sciences > F100 - Chemistry | ||||||
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Divisions: | Faculty of Engineering and Physical Sciences > School of Chemistry | ||||||
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License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||||
Date deposited: | 13 Apr 2016 14:53 | ||||||
URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/39 | ||||||