2nd Edition of International Conference on Tissue Engineering and Regenerative Medicine

September 16-17, 2022 (Online Event)

September 16 -17, 2022 | Online Event
TERMC 2020

Bioinspired composite biopolymer blend porous scaffolds reinforced with graphene oxide and hydroxyapatite gradient density manifesting ectopic osteoinductive behavior

George Mihail Vlasceanu, Speaker at Regenerative Medicine Conferences
University Politehnica of Bucharest, Romania
Title : Bioinspired composite biopolymer blend porous scaffolds reinforced with graphene oxide and hydroxyapatite gradient density manifesting ectopic osteoinductive behavior

Abstract:

Herein, the synthesis and characterization of novel chitosan-gelatin highly porous scaffold reinforced with graphene oxide and hydroxyapatite (HAp), crosslinked with genipin was targeted. In tissue engineering, chitosan and gelatin are two of the most robust biopolymers with wide applicability, due to intrinsic biocompatibility, biodegradability, low antigenicity properties, affordability and ease of processing. HAp, per its exceptional activity in tuning cell-matrix interactions, is acknowledged for its capability of sustaining cellular proliferation by promoting bone-like native micro-media for cell adjustment. Genipin is regarded as a top class cross-linker, while graphene oxide (GO) is viewed as one of the most performant and versatile fillers. T he composites with natural  bone HAp/biopolymer  ratio were obtained by cascading sonochemical treatments, followed by  uncomplicated  casting  methods  and  by  freeze-drying.  Their  structure  was  characterized  by  Fourier  Transform  Infrared Spectroscopy  and  X-ray  Diffraction,  while  overall  morphology  was  investigated  by  Scanning  Electron  Microscopy  (SEM) and  micro-Computer  Tomography  (µ-CT).  Ensuing that, in  vitro  enzyme  degradation  was  performed  to  detect  the  most promising compositions for the development of in vivo assays. Suitable GO dispersion was ascertained within the biopolymer mix as nanolayers specific signals lack in both FTIR and XRD spectra and the specific spectral features of the polymers persisted with GO load enhancement. Overall, correlations between the GO  induced  material  structuration,  crystallinity  variations and  chemical  interaction of  the  compounds  can  be correlated with the physical features and bioactivity of each composite formulation. HAp presence reflected in SEM and µ-CT onto the pore smoothness, a requisite for cell attachment mainly highlighted within ex-vivo specimens. Moreover, the HAp distribution within follows an auspicious density gradient tuned for hybrid osseous/cartilage matter architectures which was mirrored in the mice model tests. Hence, the synthesis route of a natural polymer blend/hydroxyapatite-graphene oxide composite material is anticipated to emerge as influential formulation in bone tissue engineering.

Biography:

George Mihail Vlăsceanu, 28, h-index 6, is a doctoral student in Chemical Engineering, part of the Advanced Polymer Materials Group of the University Politehnica of Bucharest, with expertise in the characterization and processing of graphene, advanced techniques for bone regeneration and development of high performance biosensors. His background includes interdisciplinary skills as a result of his Bachelor in Medical Engineering (biopolymers for regenerative medicine) and Master studies in Applied Chemistry and Materials Science (oxidic nanomaterials for advanced application). His  research interest are  akin to  the emerging  fields of  biomedicine  and tissue  engineering, as  ref lected by the 17 publications he co-authored (9 ISI articles in highly regarded journals - Biosensors and Bioelectronics, Composites Part B: Engineering -  and 7 book chapters), with the emphasis on graphenic materials composites. Mr. Vlăsceanu is experienced in morpho-structural analysis, polymer and composite materials synthesis, graphene materials processing as a result of his professional engagement within the framework of EU POC-A1-A1.1.4-E-2015 P_37_221, and is trained in complex 3D imaging characterization.

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