Show simple item record

dc.contributor.authorDogruoz, E.en_US
dc.contributor.authorDayanik, S.en_US
dc.contributor.authorBudak, G.en_US
dc.contributor.authorSabuncuoglu, I.en_US
dc.date.accessioned2018-04-12T10:44:24Z
dc.date.available2018-04-12T10:44:24Zen_US
dc.date.issued2016en_US
dc.identifier.issn2169-1401
dc.identifier.urihttp://hdl.handle.net/11693/36564en_US
dc.description.abstractA mixed-effects statistical model has been developed to understand the nanoparticle (NP)–cell interactions and predict the rate of cellular uptake of NPs. NP–cell interactions are crucial for targeted drug delivery systems, cell-level diagnosis, and cancer treatment. The cellular uptake of NPs depends on the size, charge, chemical structure, and concentration of NPs, and the incubation time. The vast number of combinations of these variable values disallows a comprehensive experimental study of NP–cell interactions. A mathematical model can, however, generalize the findings from a limited number of carefully designed experiments and can be used for the simulation of NP uptake rates, to design, plan, and compare alternative treatment options. We propose a mathematical model based on the data obtained from in vitro interactions of NP–healthy cells, through experiments conducted at the Nanomedicine and Advanced Technologies Research Center in Turkey. The proposed model predicts the cellular uptake rate of silica, polymethyl methacrylate, and polylactic acid NPs, given the incubation time, size, charge and concentration of NPs. This study implements the mixed-model methodology in the field of nanomedicine for the first time, and is the first mathematical model that predicts the rate of cellular uptake of NPs based on sound statistical principles. Our model provides a cost-effective tool for researchers developing targeted drug delivery systems.en_US
dc.language.isoEnglishen_US
dc.source.titleArtificial Cells, Nanomedicine and Biotechnologyen_US
dc.relation.isversionofhttp://dx.doi.org/10.3109/21691401.2015.1011811en_US
dc.subjectLinear mixed modelen_US
dc.subjectNanomedicineen_US
dc.subjectNanoparticle uptake rateen_US
dc.subjectSmoothing splinesen_US
dc.subjectTargeted drug deliveryen_US
dc.subjectCellsen_US
dc.subjectContour measurementen_US
dc.subjectCost effectivenessen_US
dc.subjectMedical nanotechnologyen_US
dc.subjectNanoparticlesen_US
dc.subjectPolymethyl methacrylatesen_US
dc.subjectTelemeteringen_US
dc.subjectDesigned experimentsen_US
dc.subjectLinear mixed modelsen_US
dc.subjectNanoparticle uptakesen_US
dc.subjectSmoothing splineen_US
dc.subjectStatistical modelingen_US
dc.subjectStatistical principlesen_US
dc.subjectTargeted drug delivery systemsen_US
dc.titleAnalysis of the in vitro nanoparticle–cell interactions via a smoothing-splines mixed-effects modelen_US
dc.typeArticleen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.citation.spage800en_US
dc.citation.epage810en_US
dc.citation.volumeNumber44en_US
dc.citation.issueNumber3en_US
dc.identifier.doi10.3109/21691401.2015.1011811en_US
dc.publisherTaylor and Francisen_US
dc.identifier.eissn2169-141X


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record