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

Chen, Song; Lee, Cheuk; Li, Rachel; Smith, Paul; Qin, Qinghua

Description

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...[Show more]

dc.contributor.authorChen, Song
dc.contributor.authorLee, Cheuk
dc.contributor.authorLi, Rachel
dc.contributor.authorSmith, Paul
dc.contributor.authorQin, Qinghua
dc.date.accessioned2021-08-10T03:59:26Z
dc.identifier.issn1025-5842
dc.identifier.urihttp://hdl.handle.net/1885/243860
dc.description.abstractA 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.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherTaylor & Francis Group
dc.rights© 2017 Informa UK Limited, trading as Taylor & Francis Group
dc.sourceComputer Methods in Biomechanics and Biomedical Engineering
dc.subjectMathematical model
dc.subjectcell adhesion
dc.subjectmaterial surface
dc.subjectosteoblast
dc.subjectnanophase grain size
dc.titleModelling osteoblast adhesion on surface-engineered biomaterials: optimisation of nanophase grain size
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume20
dc.date.issued2017
local.identifier.absfor090301 - Biomaterials
local.identifier.ariespublicationa383154xPUB5715
local.publisher.urlhttps://www.routledge.com/
local.type.statusPublished Version
local.contributor.affiliationChen, Song, College of Science, ANU
local.contributor.affiliationLee, Cheuk, College of Engineering and Computer Science, ANU
local.contributor.affiliationLi, Rachel, College of Health and Medicine, ANU
local.contributor.affiliationSmith, Paul, College of Health and Medicine, ANU
local.contributor.affiliationQin, Qing Hua, College of Engineering and Computer Science, ANU
local.description.embargo2099-12-31
local.bibliographicCitation.issue8
local.bibliographicCitation.startpage905
local.bibliographicCitation.lastpage914
local.identifier.doi10.1080/10255842.2017.1314468
dc.date.updated2020-11-23T10:50:13Z
local.identifier.scopusID2-s2.0-85017150897
local.identifier.thomsonID000400681800010
CollectionsANU Research Publications

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