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dc.contributor.authorSeyedmahmoud, Rasoul
dc.contributor.authorMozetic, Pamela
dc.contributor.authorRainer, Alberto
dc.contributor.authorGiannitelli, Sara Maria
dc.contributor.authorBasoli, Francesco
dc.contributor.authorTrombetta, Marcella
dc.contributor.authorTraversa, Enrico
dc.contributor.authorLicoccia, Silvia
dc.contributor.authorRinaldi, Antonio
dc.date.accessioned2016-01-19T14:44:41Z
dc.date.available2016-01-19T14:44:41Z
dc.date.issued2014-04-07
dc.identifier.citationSeyedmahmoud R, Mozetic P, Rainer A, Giannitelli SM, Basoli F, et al. (2014) A primer of statistical methods for correlating parameters and properties of electrospun poly( l -lactide) scaffolds for tissue engineering-PART 2: Regression . J Biomed Mater Res 103: 103–114. Available: http://dx.doi.org/10.1002/jbm.a.35183.
dc.identifier.issn1549-3296
dc.identifier.pmid24668730
dc.identifier.doi10.1002/jbm.a.35183
dc.identifier.urihttp://hdl.handle.net/10754/594264
dc.description.abstractThis two-articles series presents an in-depth discussion of electrospun poly-l-lactide scaffolds for tissue engineering by means of statistical methodologies that can be used, in general, to gain a quantitative and systematic insight about effects and interactions between a handful of key scaffold properties (Ys) and a set of process parameters (Xs) in electrospinning. While Part-1 dealt with the DOE methods to unveil the interactions between Xs in determining the morphomechanical properties (ref. Y1-4), this Part-2 article continues and refocuses the discussion on the interdependence of scaffold properties investigated by standard regression methods. The discussion first explores the connection between mechanical properties (Y4) and morphological descriptors of the scaffolds (Y1-3) in 32 types of scaffolds, finding that the mean fiber diameter (Y1) plays a predominant role which is nonetheless and crucially modulated by the molecular weight (MW) of PLLA. The second part examines the biological performance (Y5) (i.e. the cell proliferation of seeded bone marrow-derived mesenchymal stromal cells) on a random subset of eight scaffolds vs. the mechanomorphological properties (Y1-4). In this case, the featured regression analysis on such an incomplete set was not conclusive, though, indirectly suggesting in quantitative terms that cell proliferation could not fully be explained as a function of considered mechanomorphological properties (Y1-4), but in the early stage seeding, and that a randomization effects occurs over time such that the differences in initial cell proliferation performance (at day 1) is smeared over time. The findings may be the cornerstone of a novel route to accrue sufficient understanding and establish design rules for scaffold biofunctional vs. architecture, mechanical properties, and process parameters.
dc.publisherWiley-Blackwell
dc.subjectbiomaterials
dc.subjectelectrospinning
dc.subjectmechanical properties
dc.subjectparametric study
dc.subjectprocess control
dc.subjectstructure-property relations
dc.titleA primer of statistical methods for correlating parameters and properties of electrospun poly( l -lactide) scaffolds for tissue engineering-PART 2: Regression
dc.typeArticle
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.identifier.journalJournal of Biomedical Materials Research Part A
dc.contributor.institutionDepartment of Chemical Science and Technology and NAST Center; University of Rome Tor Vergata; Rome Italy
dc.contributor.institutionTissue Engineering Laboratory, CIR-Center of Integrated Research, Università Campus Bio-Medico di Roma; Rome Italy
dc.contributor.institutionENEA,CR Casaccia; Via Anguillarese 301, Santa Maria di Galeria Rome Italy
dc.contributor.institutionInternational Research Center for Mathematics & Mechanics of Complex Systems, University of L'Aquila; Via S. Pasquale, Cisterna di Latina (LT) Italy
kaust.personLicoccia, Silvia


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