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1.
Rev Sci Instrum ; 88(7): 076108, 2017 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-28764535

RESUMO

A portable automatic capillary viscometer, equipped with an AVR microcontroller, was designed and developed. The viscometer was calibrated with Certified Reference Material (CRM) s200 and utilized for measurement of kinematic viscosity. A quadratic equation was developed for calibration of the instrument at various temperatures. Also, a model was developed for viscosity determination in terms of the viscometer dimensions. Development of the portable viscometer provides for on-site monitoring of engine oil viscosity.

2.
J Food Sci Technol ; 52(7): 4414-22, 2015 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-26139907

RESUMO

Effect of sample thickness, ultraviolet irradiation and storage temperature on bacterial activity, storability and functional properties (foamability and stability) of liquid egg were investigated. Eggs were contaminated with prepared Salmonella suspension 108/mL. Separated albumen and yolk samples were poured in three thicknesses (1, 2 and 3 mm) and irradiated at 3, 5 10, 15 min with ultraviolet radiation and were stored at 5, 15, 25, 37 °C for up to 8 days. Observations indicated that all ultraviolet irradiation times, reduced the total count of Salmonella bacteria in egg samples. Although, functional properties were improved, protein oxidation in both albumen and yolk increased. After the first 2 days of storage, total counts of Salmonella and protein oxidation of eggs decreased solely in the 5 °C treatment. It is concluded that irradiation treatment can be used to decrease bacterial contamination of liquid egg albeit not below the safe level for raw consumption. Furthermore, the best irradiation times to improve foam ability and stability were 10 and 5 min, respectively.

3.
J Food Sci Technol ; 51(9): 2155-61, 2014 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-25190877

RESUMO

Effects of controlled atmosphere storage (CAS) and modified atmosphere packaging (MAP) in comparison with conventional cold storage on qualitative properties of green-mature harvested tomato were evaluated. Qualitative properties included firmness, redness value (a*), hue angle, Total Soluble Solids (TSS) content, Titratable Acidity (TA) and TSS/TA. Under CAS and MAP conditions, gas composition was 5 kPa O2 and 3 kPa CO2. Results showed that the ability of CAS and MAP to retard the ripening process was more than cold storage. With regard to maintaining texture and colour, CAS treatment was the best and MAP was better than cold storage. Although amongst storage treatments, the maximum value of TSS was observed in cold storage, its decreasing trend in CAS was slower than that in cold storage. Additionally, MAP and especially CAS slowed down the diminishing trend of TA in tomatoes.

4.
J Food Sci Technol ; 51(11): 3261-8, 2014 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-26396319

RESUMO

Storage conditions of pear affect its subsequent softening process and shelf life. Measurements of firmness have traditionally been carried out according to the Magness Taylor (MT) procedure; using a texture analyzer or penetrometer in reference texture tests. In this study, a non-destructive method using Laser Doppler vibrometer (LDV) technology was used to estimate texture firmness of pears. This technique was employed to detect responses to imposed vibration of intact fruit using a shaker. Vibration transmitted through the fruit to the upper surface was measured by LDV. A fast Fourier transform algorithm was used to process response signals and the desired results were extracted. Multiple Linear Regression models using fruit density and four parameters obtained from modal tests showed better correlation (R(2) = 0.803) with maximum force in Magness Taylor test compared to the models that used only modal parameters (R(2) = 0.798). The best polynomial regression models for pear firmness were based on elasticity index (EI) and damping ratio (η) with R(2) = 0.71 and R(2) = 0.64, respectively. This study shows the capability of the LDV technique and the vibration response data for predicting ripeness and modeling pear firmness and the significant advantage for commercially classifying of pears based on consumer demands.

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