Scholarship 23/04852-3 - Bioimpressão, Dentina - BV FAPESP
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DEVELOPMENT OF METACRYLATED GELATIN BIOINKS FUNCTIONALIZED WITH METALIC OXIDES: PHYSIC-CHEMICAL CHARACTERIZATION AND PRINTABILITY DEGREE

Grant number: 23/04852-3
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Start date until: June 01, 2023
End date until: May 31, 2024
Field of knowledge:Health Sciences - Dentistry - Dental Materials
Principal Investigator:Diana Gabriela Soares dos Passos
Grantee:Laura Ferreira Almeida
Host Institution: Faculdade de Odontologia de Bauru (FOB). Universidade de São Paulo (USP). Bauru , SP, Brazil

Abstract

Currently, new treatment options have been investigated to stimulate tissue regeneration within minimally invasive concept, by applying a biomaterial that perfectly shape in defected area and capable of stimulating resident cells from pulp and apical papilla to migrate for material's surface and differentiate to produce a new tissue, what is referred as cell homing therapy. Therefore, the aim of this project is to perform a physic-chemical characterization and printability evaluation of methacrylate gelatin (GelMA) bioinks associated to bioactive metallic oxides. A 15% GelMA hydrogel will be prepared and incorporated with silicon (SiO), magnesium (MgO) and strontium (SrO) oxides, at pre-selected concentration on experiments performed at the FAPESP grant, that demonstrated cytocompatibility with human pulp cells, and bioactivity by increasing mineralized matrix deposition in vitro. Therefore, the bioinks will be formulated, and cylindrical samples (6 mm x 2.5 mm) will be prepared. The samples with be characterized as the morphology and surface by SEM, and the chemical structure will be assessed by FTIR. The physic characterization will be assessed by measuring degradability, porosity and swelling. The oxide release assay will be performed. Finally, the printability will be evaluated by using two bioprinting technologies: extrusion and stereolithography bioprinting. Numerical data will be evaluated by statistical analysis.

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