Effect of Artificial Aging on the Roughness and Microhardness of Sealed Composites

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Effect of Different Light-Curing Modes on Degree of Conversion, Staining Susceptibility and Stain's Retention Using Different Beverages in a Nanofilled Composite Resin

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise isotópica (δ¹³C) e legalidade em néctares de uva

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Efeitos de parâmetros de fermentação na produção de etanol a partir de resíduo líquido da industrialização da mandioca (manipueira)

Effect of fermentation parameters on ethanol production from cassava liquid residue (manipueira). "Manipueira", a liquid residue from the processing of cassava starch and flour, has recognized high pollution potential. Aiming at a possible use of "manipueira" as raw material for ethanol production, this study aimed to evaluate the effect of the percentage of inoculated yeast and fermentation temperature on the chromatographic profile of the components of wine of "manipueira". The residue was characterized for starch and sugar content, as well as pH and total acidity. The residue was hydrolyzed by the action of enzymes Termamyl 120 L and AMG 300 L. The hydrolysate obtained was fermented under different experimental conditions. A factorial central composite design (2(2)) with two independent variables and the response surface methodology were used to evaluate the results. The results showed a significant effect of variable parameters on the components of wine. The conditions of low fermentation temperature and lower percentages of inoculated yeast were the most appropriate to obtain ethanol from "manipueira".

Determinação da razão isotópica delta13C em bebidas comerciais a base de laranja

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Cell-associated acid beta-xylosidase production by Penicillium sclerotiorum

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Purification and properties of an acid beta-xylosidase from Penicillium sclerotiorum

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A Novel beta-Glucosidase from Sporidiobolus pararoseus: Characterization and Application in Winemaking

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Evaluation of new red winemaking technologies through consumer liking

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Effect of grape pre-drying and static pomace contact on physicochemical properties and sensory acceptance of Brazilian (Bordo and Isabel) red wines

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Influence of surfactants on the effectiveness of bleaching gels

This study evaluated the influence of surfactants on the effectiveness of 35% hydrogen peroxide (HP) and 10% carbamide peroxide (CP) bleaching gels. One hundred and forty bovine teeth were used, which were stained by immersion in a coffee, red wine, and tobacco mixture for 7 days. At the end of this process, the color measurement at baseline was taken with the Vita Easyshade spectrophotometer. The teeth were divided into seven groups: (a) negative control (NC), (b) positive control for HP (PC-35), (c) HP + Tween 20 (T20-35), (d) HP + laurel sodium sulfate (LSS-35), (e) positive control for CP (PC-10), (f) CP + Tween 20 (T20-10), and (g) CP + laurel sodium sulfate (LSS-10). Group NC was kept in artificial saliva for 21 days. Groups PC-35, T20-35, and LSS 35 received three applications of bleaching gel for 10 min; the process was repeated after 7 days. Groups PC-10, T20-10, and LSS-10 received the gel for 8 h per day for 14 days. After the bleaching process, the final color was measured. The analysis of variance and Tukey tests showed statistically significant differences for the parameters of a dagger L, a dagger b, and a dagger E of the HP gels with surfactant and positive control group (PC-35). Within the limits of this in vitro study, the addition of surfactants to HP bleaching gel increased the bleaching effectiveness.

Colorimetric enzymatic assay of L-malic acid using dehydrogenase from baker's yeast

A colorimetric method has been developed and optimized to measure L-malic acid in samples of fruit juices and wine. This method is based on oxidation of the analyte, catalyzed by malate dehydrogenase (MDH) from dry baker's yeast, and in combination with the reduction of a tetrazolium salt (MTT: 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide). In the present study, the method exhibited sensitivity in the range of 500-4000 mu M of L-malic acid in the reaction cuvette, with the lower detection limit of 6.7-10(-2) g/L, the upper limit of 53.6.10(-2) g/L and a maximum standard deviation of only 2.5 % for the analyzed samples. The MDH activity from baker's yeast was also optimized, the enzyme showed a high stability at pH=8.0-9.0 and the activity was maintained completely at temperatures up to 40 degrees C for 1 hour. The results show that the colorimetric method using enzymatic preparations from dry baker's yeast is a simple and low-cost method with possibility of wide application.

Carbon nuclear magnetic resonance spectroscopic fingerprinting of commercial gasoline: Pattern-recognition analyses for screening quality control purposes

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

GC Fingerprints Coupled to Pattern-Recognition Multivariate SIMCA Chemometric Analysis for Brazilian Gasoline Quality Studies

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Screening Brazilian commercial gasoline quality by hydrogen nuclear magnetic resonance spectroscopic fingerprintings and pattern-recognition multivariate chemometric analysis

The identification of gasoline adulteration by organic solvents is not an easy task, because compounds that constitute the solvents are already in gasoline composition. In this work, the combination of Hydrogen Nuclear Magnetic Resonance ((1)H NMR) spectroscopic fingerprintings with pattern-recognition multivariate Soft Independent Modeling of Class Analogy (SIMCA) chemometric analysis provides an original and alternative approach to screening Brazilian commercial gasoline quality in a Monitoring Program for Quality Control of Automotive Fuels. SIMCA was performed on spectroscopic fingerprints to classify the quality of representative commercial gasoline samples selected by Hierarchical Cluster Analysis (HCA) and collected over a 6-month period from different gas stations in the São Paulo state, Brazil. Following optimized the (1)H NMR-SIMCA algorithm, it was possible to correctly classify 92.0% of commercial gasoline samples, which is considered acceptable. The chemometric method is recommended for routine applications in Quality-Control Monitoring Programs, since its measurements are fast and can be easily automated. Also, police laboratories could employ this method for rapid screening analysis to discourage adulteration practices. (C) 2010 Elsevier B.V. All rights reserved.