Site preference and local structural stability of Bi() substitution in hydroxyapatite using first-principles simulations
Bismuth (Bi( iii )) substitution in hydroxyapatite (HAp) lattice confers unique properties such as antibacterial, catalytic, radiosensitization, and conductive properties while preserving the innate bioactivity. Understanding the local structural changes upon Bi 3+ substitution is essential for cont...
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Veröffentlicht in: | Physical chemistry chemical physics : PCCP 2024-05, Vol.26 (19), p.14277-14287 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Bismuth (Bi(
iii
)) substitution in hydroxyapatite (HAp) lattice confers unique properties such as antibacterial, catalytic, radiosensitization, and conductive properties while preserving the innate bioactivity. Understanding the local structural changes upon Bi
3+
substitution is essential for controlling the stability and optimizing the properties of HAp. Despite numerous experimental studies, the precise substitution behaviors, such as site preference and structural stability, remain incompletely understood. In this study, the substitution behavior of Bi(
iii
) into the HAp lattice with formula of Ca
9
Bi(PO
4
)
6
(O)(OH) was investigated
via
first-principles simulation by implementing density functional theory. Energy calculations showed that Bi
3+
preferentially occupies the Ca(2) site with an energy difference of ∼0.02 eV per atom. Local structure analysis revealed higher bond population values and an oxygen coordination shift from 7 to 6 for the Ca(2) site, attributed to the greater covalent interactions and its flexible environment accommodating the bulky Bi
3+
ion and its stereochemically active lone pair. This work provides the first comprehensive investigation on Bi
3+
ion substitution site preference in HAp using first-principles simulations.
Bismuth substitution in hydroxyapatite lattice was investigated
via
first-principles simulations, revealing a preference for the Ca(2) site and clarifying structural changes critical for optimization. |
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ISSN: | 1463-9076 1463-9084 |
DOI: | 10.1039/d4cp00864b |