|Support type:||Scholarships in Brazil - Scientific Initiation|
|Effective date (Start):||January 01, 2015|
|Effective date (End):||December 31, 2015|
|Field of knowledge:||Health Sciences - Dentistry - Dental Materials|
|Principal researcher:||Daniela Micheline dos Santos|
|Grantee:||Bruna Egumi Nagay|
|Home Institution:||Faculdade de Odontologia (FOA). Universidade Estadual Paulista (UNESP). Campus de Araçatuba. Araçatuba , SP, Brazil|
Conditions of the surface of the acrylic resin as microporosity and roughness can promote a favorable environment for the adhesion of microorganisms, including the surface of ocular prostheses. Thus, this study aims to evaluate the adherence of pathogens in recurrent anophthalmic socket, Staphylococcus epidermidis and Staphylococcus aureus, and evaluate the influence of the application of photopolymerized glaze on adherence of these microorganisms. One hundred forty-four discs (10 mm x 3 mm) will be prepared and distributed into 4 groups (n = 9): N1 Acrylic resin without photopolymerized glaze (G1); Colorless acrylic resin without photopolymerized glaze (G2); N1 Acrylic resin with photopolymerized glaze (G3); Colorless acrylic resin with photopolymerized glaze (G4). The polishing is performed with sandpaper in different grits (n.400, n.600 and n.800) in all samples. In G1 and G2, is additionally used sandpaper n.1000 and n.1200 and finalized with diamond solution with felt disk. The samples will be coated with photopolymerized glaze MegaSeal in groups G3 and G4. Microbiological analysis will be performed in triplicate (n = 3), and in three independent experiments. Cultures of planktonic cells will be collected before and after the accelerated aging of the samples, which will be done during 1008 hours in the aging chamber. After this period, the colony count shall be verified by analysis of the number of CFU / mL. To provide proper statistical analysis, the data will be submitted to the test of adherence to the normal curve with the aim of assessing whether or not they come from a normal distribution pattern.