|Support type:||Scholarships in Brazil - Scientific Initiation|
|Effective date (Start):||July 01, 2018|
|Effective date (End):||June 30, 2019|
|Field of knowledge:||Health Sciences - Dentistry - Dental Clinics|
|Principal Investigator:||Dimorvan Bordin|
|Grantee:||Arles Naisa Amaral Silva|
|Home Institution:||Universidade Universus Veritas Guarulhos (Univeritas UNG). Guarulhos , SP, Brazil|
An over-wet dentin after the acid-etching procedure might impair the complete adhesive polymerization as well an over-dry dentin does not allow adequate adhesive infiltration. Then, a hydrolytic degradation of the hybrid layer leading to margin pigmentation, post-operative pain, and secondary caries. This study will evaluate the influence of different dentin humidity levels in the conversion degree and bond-strength of different adhesive systems. The adhesive conversion degree kinetic will be measured using a Fourier transform infrared spectroscopy (FTIR). Two adhesive systems will be tested: Single Bond (SB) (control) and Prime & Bond Active (P&B) (experimental) at 4 different humidity levels of adhesive and water proportions (1:0,5; 1:1, 1:2;) (experimental groups); the pure adhesive, no water, will be used as control. The water will be deposited at the sensor using a micro pipette. After, human teeth from the University of Guarulhos will be drilled (Class I) with a standardized-dimensions cavity. After the acid-etching procedure, the teeth will be randomized into 6 groups according to the adhesive systems (SB or P&B) at 3 different dentin humidity levels: Over-dry by air-spray (OD) (experimental); Humid (H)- dried using absorbent paper (control); Over-wet (OW)- a 4µl of water will be deposited onto the cavity's floor. The cavities will be restored using a dental composite; Twenty-four hours after the restorations, the teeth will be sectioned and tested to measure the bond strength using a universal testing-machine. Data will be shown as bond strength (MPa). The sample size will be calculated after pilot test and exploratory data analysis.