Objective: To evaluate the changes in the surface quality of irreversible hydrocolloid impression material
hydrogum following disinfection with 0.525% sodium hypochlorite, 0.2% Chlorehexidine Gluconate, and 4%
Povidone Iodine.
Methodology: Forty specimens of alginate impression materials hydrogum were fabricated according to the
ISO 1563 and were divided into four groups according to the method of solution dipping: group 1: Dip in
0.525% sodium hypochlorite, group 2: Dip in 0.2% chlorhexidine gluconate, Group 3: Dip in 4% Povidone Iodine,
Group 4: No treatment with any solution (control group). Then the specimens were poured in type II stone.
Surface detail was determined using a stainless steel block in accordance with ISO 1563.
Results: The results were subjected to Kruskal – Wallis non parametric test showed no statistical significant
difference in the effect of the disinfection solution on the surface detail quality (P – value 0.392, at p> 0.05).
However, the surface quality of the specimens disinfected by sodium hypochlorite showed some degree of
erosion or damage to the surface quality of the resultant cast, but the difference was not statistically
significant.
Recommendations: make microbiological study to evaluate the effect of disinfectant solutions on different
microorganisms present in the oral cavity and evaluate the hardness of impression material following the use
of disinfectant solutions.
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ENGLISH
Abstract
The research aims to determine the nature of the Iraqi market in terms of banking financial stability and the extent impact of the operational efficiency on it, Accordingly, chosen 15 relational banks were chosen as an intentional sample that could represent the Iraqi banking system for the period 2010-2020. The operational efficiency variable was measured according to the data envelope model, and banking financial stability used CAMELS model which includes five indicators (capital adequacy, asset quality, management quality, profitability, and liquidity), so for testing the research hypotheses used the random regression model by adopting the S
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