Modelling osteoblast adhesion on surface-engineered biomaterials: optimisation of nanophase grain size

Song Chen; Cheuk Y. Lee; Rachel W. Li; Paul N. Smith; Qing H. Qin

doi:10.1080/10255842.2017.1314468

Modelling osteoblast adhesion on surface-engineered biomaterials: optimisation of nanophase grain size

Song Chen, Cheuk Y. Lee, Rachel W. Li, Paul N. Smith, Qing H. Qin^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

A double-layered model is proposed for numerically simulating osteoblast adhesion on surface-engineered biomaterials. The proposed model consists of molecular and cellular motions based on theoretical and experimental evidence and creates predictive simulations from sparse experimental data. The comparison of numerical solutions and experimental data reveals that the proposed model can explain the nonlinear behaviour of osteoblast adhesion on material surfaces in respect to nanophase grain size (0–100 nm). The model further provides insight into the optimisation of nanophase grain size on the surface of the biomaterial.

Original language	English
Pages (from-to)	905-914
Number of pages	10
Journal	Computer Methods in Biomechanics and Biomedical Engineering
Volume	20
Issue number	8
DOIs	https://doi.org/10.1080/10255842.2017.1314468
Publication status	Published - 11 Jun 2017

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10.1080/10255842.2017.1314468

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title = "Modelling osteoblast adhesion on surface-engineered biomaterials: optimisation of nanophase grain size",

abstract = "A double-layered model is proposed for numerically simulating osteoblast adhesion on surface-engineered biomaterials. The proposed model consists of molecular and cellular motions based on theoretical and experimental evidence and creates predictive simulations from sparse experimental data. The comparison of numerical solutions and experimental data reveals that the proposed model can explain the nonlinear behaviour of osteoblast adhesion on material surfaces in respect to nanophase grain size (0–100 nm). The model further provides insight into the optimisation of nanophase grain size on the surface of the biomaterial.",

keywords = "Mathematical model, cell adhesion, material surface, nanophase grain size, osteoblast",

author = "Song Chen and Lee, {Cheuk Y.} and Li, {Rachel W.} and Smith, {Paul N.} and Qin, {Qing H.}",

note = "Publisher Copyright: {\textcopyright} 2017 Informa UK Limited, trading as Taylor & Francis Group.",

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T1 - Modelling osteoblast adhesion on surface-engineered biomaterials

T2 - optimisation of nanophase grain size

AU - Chen, Song

AU - Lee, Cheuk Y.

AU - Li, Rachel W.

AU - Smith, Paul N.

AU - Qin, Qing H.

PY - 2017/6/11

Y1 - 2017/6/11

N2 - A double-layered model is proposed for numerically simulating osteoblast adhesion on surface-engineered biomaterials. The proposed model consists of molecular and cellular motions based on theoretical and experimental evidence and creates predictive simulations from sparse experimental data. The comparison of numerical solutions and experimental data reveals that the proposed model can explain the nonlinear behaviour of osteoblast adhesion on material surfaces in respect to nanophase grain size (0–100 nm). The model further provides insight into the optimisation of nanophase grain size on the surface of the biomaterial.

AB - A double-layered model is proposed for numerically simulating osteoblast adhesion on surface-engineered biomaterials. The proposed model consists of molecular and cellular motions based on theoretical and experimental evidence and creates predictive simulations from sparse experimental data. The comparison of numerical solutions and experimental data reveals that the proposed model can explain the nonlinear behaviour of osteoblast adhesion on material surfaces in respect to nanophase grain size (0–100 nm). The model further provides insight into the optimisation of nanophase grain size on the surface of the biomaterial.

KW - Mathematical model

KW - cell adhesion

KW - material surface

KW - nanophase grain size

KW - osteoblast

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JO - Computer Methods in Biomechanics and Biomedical Engineering

JF - Computer Methods in Biomechanics and Biomedical Engineering

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ER -

Modelling osteoblast adhesion on surface-engineered biomaterials: optimisation of nanophase grain size

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