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

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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.date.issued2017
dc.date.updated2020-11-23T10:50:13Z
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.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1025-5842en_AU
dc.identifier.urihttp://hdl.handle.net/1885/243860
dc.language.isoen_AUen_AU
dc.publisherTaylor & Francis Groupen_AU
dc.rights© 2017 Informa UK Limited, trading as Taylor & Francis Groupen_AU
dc.sourceComputer Methods in Biomechanics and Biomedical Engineeringen_AU
dc.subjectMathematical modelen_AU
dc.subjectcell adhesionen_AU
dc.subjectmaterial surfaceen_AU
dc.subjectosteoblasten_AU
dc.subjectnanophase grain sizeen_AU
dc.titleModelling osteoblast adhesion on surface-engineered biomaterials: optimisation of nanophase grain sizeen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue8en_AU
local.bibliographicCitation.lastpage914en_AU
local.bibliographicCitation.startpage905en_AU
local.contributor.affiliationChen, Song, College of Science, ANUen_AU
local.contributor.affiliationLee, Cheuk, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationLi, Rachel, College of Health and Medicine, ANUen_AU
local.contributor.affiliationSmith, Paul, College of Health and Medicine, ANUen_AU
local.contributor.affiliationQin, Qing Hua, College of Engineering and Computer Science, ANUen_AU
local.contributor.authoruidChen, Song, u901228en_AU
local.contributor.authoruidLee, Cheuk, u4208563en_AU
local.contributor.authoruidLi, Rachel, u4323390en_AU
local.contributor.authoruidSmith, Paul, u1496431en_AU
local.contributor.authoruidQin, Qing Hua, u4119044en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor090301 - Biomaterialsen_AU
local.identifier.ariespublicationa383154xPUB5715en_AU
local.identifier.citationvolume20en_AU
local.identifier.doi10.1080/10255842.2017.1314468en_AU
local.identifier.scopusID2-s2.0-85017150897
local.identifier.thomsonID000400681800010
local.publisher.urlhttps://www.routledge.com/en_AU
local.type.statusPublished Versionen_AU

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