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010   $a3-030-04990-6
024 7 $a10.1007/978-3-030-04990-4
035   $a(CKB)4100000007881155
035   $a(MiAaPQ)EBC5747475
035   $a(DE-He213)978-3-030-04990-4
035   $a(PPN)235666491
035   $a(EXLCZ)994100000007881155
100   $a20190405d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 12$aA Phenomenological Mathematical Modelling Framework for the Degradation of Bioresorbable Composites /$fby Ismael Moreno-Gomez
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (361 pages)
225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
300   $a"Doctoral thesis accepted by the University of Cambridge, Cambridge, UK"--Title page.
311   $a3-030-04989-2 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Literature review -- Degradation of bioresorbable composites: the models -- Degradation of bioresorbable composites: tricalcium phosphate case studies -- Degradation of bioresorbable composites: hydroxyapatite case studies -- Experimental degradation study of PLGA?CaCO3 nanocomposites -- Degradation of bioresorbable composites: calcium carbonate case studies -- Conclusions and future work -- Appendix.
330   $aThis book presents a generalised computational model for the degradation of resorbable composites, using analytic expressions to represent the interwoven phenomena present during degradation. It then combines this modelling framework with a comprehensive database of quantitative degradation data mined from existing literature and from novel experiments, to provide new insights into the interrelated factors controlling degradation. Resorbable composites made of biodegradable polyesters and calcium-based ceramics have significant therapeutic potential as tissue engineering scaffolds, as temporary implants and as drug-loaded matrices for controlled release. However, their degradation is complex and the rate of resorption depends on multiple connected factors such as the shape and size of the device, polymer chemistry and molecular weight, particle phase, size, volume fraction, distribution and pH-dependent dissolution properties. Understanding and ultimately predicting the degradation of resorbable composites is of central importance if we are to fully unlock the promise of these materials.
410  0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
606   $aBiomaterials
606   $aPhysics
606   $aMaterials science
606   $aBiomaterials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z13000
606   $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021
606   $aCharacterization and Evaluation of Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z17000
615  0$aBiomaterials.
615  0$aPhysics.
615  0$aMaterials science.
615 14$aBiomaterials.
615 24$aNumerical and Computational Physics, Simulation.
615 24$aCharacterization and Evaluation of Materials.
676   $a547.7
676   $a610.28
700   $aMoreno-Gomez$b Ismael$4aut$4http://id.loc.gov/vocabulary/relators/aut$0770186
906   $aBOOK
912   $a9910337937403321
996   $aPhenomenological Mathematical Modelling Framework for the Degradation of Bioresorbable Composites$91570927
997   $aUNINA