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result(s) for
"da Costa Vieira, Lanna"
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X-ray microtomography analysis of gaps and voids in the restoration of non-carious cervical lesions with different composite resins
by
da Costa Vieira, Lanna
,
Reis Perez, Cesar
,
Campos, Adriano
in
Analysis
,
composite resin
,
Dental caries
2022
Context (Background): Resin composites are the most widely used material for restoring cervical defects. However, the high failure rate of these restorations is still a concern. Aims: The aim of this in vitro study was to evaluate, using microtomography (μCT), the interfacial gap and voids formation in Class V cavities in premolars restored with materials with lower polymerization shrinkage combined with different restorative techniques. Settings and Design: Cervical defects were created in 30 intact premolar and were randomly distributed to be restored by one of the following techniques (n = 6): Composite resin with two increments (CR), organic modified polymer (ORMOCER) with single (OR1) or two increments (OR2, or low viscosity bulk-fill composite resin with single (BF1) or two increments (BF2). Methods and Material: Each tooth was scanned before filling to determine the volume of interest (VOI) to be applied in the second μCT after restoration and to control the cavity volume among the groups. In the μCT after filling, the volume of interfacial gaps and voids was calculated for each group. Statistical Analysis: The groups were compared using one-way and Tukey HSD post hoc test (α = 0.05). Results: It was possible to identify higher gap formation in the OR1 group and higher void formation in CR group (P < 0.05). OR2 group showed better results than the group with one increment. BF2 showed the best filling capacity. Conclusions: It was possible to conclude that the material and the number of increments directly influenced the internal adaptation and voids formation of Class V restorations.
Journal Article
Feeding F1 Holstein x Zebu cows with different roughages and pseudostem hay of banana trees does not influence milk yield and chemical composition of milk and cheese
by
Mendes Costa, Natanael
,
Albuquerque Caldeira, Luciana
,
Sampaio Rigueira, João Paulo
in
Banana waste
,
bananas
,
Cenchrus purpureus
2020
The aim of the study was to determine the effect of different roughage associated with pseudostem hay of banana trees on nutrients intake, chemical composition of milk and cheese and the fatty acid profile of F1 Holstein x Zebu cows. Eight cows F1 Holstein x Zebu were used in a replicated 4 × 4 Latin square design, each composed of four animals, four treatments and four experimental periods. Four experimental diets were used: diet 1 - sorghum silage as exclusive dietary roughage; diet 2 - sorghum silage (70%) associated with 30% pseudostem hay of banana trees (dry matter basis; SS); diet 3 - 70% elephant grass (Pennisetum purpureum cv. Roxo) with 30% pseudostem hay of banana trees (dry matter basis; EGPS); and diet 4 - 70% sugar cane with 30% pseudostem hay of banana trees (dry matter basis; SCPS). The roughage: concentrate ratio in the four experimental diets was 75:25 in dry matter basis. For the chemical composition of milk and cheese, there was no difference between diets except for milk urea nitrogen which was higher with the EGPS diet. However, in the lipid fraction of milk, the EGPS diet favoured the increase of total monounsaturated fatty acids, besides increasing the concentration of conjugated linoleic acid, contributing to the improvement of some nutritional evaluation indexes of the milk lipid fraction. The pseudostem hay of banana trees associated with different roughages did not influence the chemical composition of milk and cheese of F1 Holstein x Zebu cows.
Highlights
The inclusion of pseudostem hay of banana trees in the diet of F1 Holstein x Zebu cows does not change the milk yield corrected for 3.5% fat.
Pseudostem hay of banana trees diet of lactating cows increased the concentration of omega 6 in milk.
Pseudostem hay in the diet of lactating crossbred cows did not change the yield, flavour and appearance of the cheese.
Journal Article