Research Data Leeds Repository

Dataset for 'Tuning hardness in calcite by incorporation of amino acids'

Kim, Yi-Yeoun (2016) Dataset for 'Tuning hardness in calcite by incorporation of amino acids'. University of Leeds. [Dataset]

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
Divisions: Faculty of Mathematics and Physical Sciences > School of Chemistry
Related resources:
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 13 Apr 2016 14:53




Research Data Leeds Repository is powered by EPrints
Copyright © 2023 University of Leeds