66 resultados para Lope de Vega


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El objetivo de este trabajo fue determinar las isotermas de adsorción de humedad de harina de maíz a tres temperaturas (7, 22 y 45 °C) para el rango de a w entre 0,10 y 0,95. Las isotermas se modelaron utilizando siete ecuaciones comúnmente aplicadas en alimentos. La calidad de ajuste se evaluó con el coeficiente de regresión (r²) y el porcentaje de error medio relativo (% E), en función de los cuales se observó que los modelos propuestos por GAB, Oswin y Halsey ajustaron de mejor manera los datos experimentales. La humedad de la monocapa (Xm) y la humedad de seguridad (X S) presentaron dependencia con la temperatura con valores de Ea de 13,6 y 3,3 kJ/mol, respectivamente. Se cálculo el calor isostérico de adsorción (Q S) usando la ecuación de Clausius-Clapeyron, obteniéndose un máximo de 21 kJ/mol, para una humedad de 0,075 g agua/g m.s., este parámetro se modeló utilizando la ecuación propuesta por Tsami.

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El objetivo de este trabajo fue estudiar la cinética de deshidratación osmótica de la papaya chilena (Vasconcellea pubescens), utilizando dos variables experimentales: la temperatura (30, 40, 50 °C) y concentración (40, 50 y 60%) de la solución osmótica. Se determinó la variación de masa total, masa de agua y masa de sólidos solubles y se modeló con las ecuaciones difusionales, además en esta investigación se consideró y utilizó una modificación de la ecuación propuesta por Biswal-Bozorgmehr. Estos modelos fueron evaluados por medio del coeficiente de regresión lineal, suma de errores cuadrados, raíz media de los errores cuadrados y Chi-cuadrado. Al comparar los valores experimentales con los calculados, se demostró que el modelo Biswal-Bozorgmehr modificado obtuvo mejor ajuste sobre la variación de masa de agua y sólidos solubles. Mediante la ecuación de Arrhenius se analizó el efecto de la temperatura sobre los parámetros cinéticos (Kw y Kss) y difusividad efectiva de agua (Dwe) y sólidos solubles (Dsse). De acuerdo al diseño factorial, se observó que la temperatura no influyó sobre la difusividad efectiva de agua y de sólidos, pero sí la concentración de la solución osmótica. La mejor condición de salida de agua y ganancia de sólidos solubles durante la deshidratación osmótica de la papaya chilena fue a 30 °C con una concentración del 60%.

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The aim of this research was to study the effect of air-temperature and diet composition on the mass transfer kinetics during the drying process of pellets used for Japanese Abalone (Haliotis discus hannai) feeding. In the experimental design, three temperatures were used for convective drying, as well as three different diet compositions (Diets A, B and C), in which the amount of fishmeal, spirulin, algae, fish oil and cornstarch varied. The water diffusion coefficient of the pellets was determined using the equation of Fick's second law, which resulted in values between 0.84-1.94×10-10 m²/s. The drying kinetics was modeled using Page, Modified Page, Root of time, Exponential, Logarithmic, Two-Terms, Modified Henderson-Pabis and Weibull models. In addition, two new models, referred to as 'Proposed' models 1 and 2, were used to simulate this process. According to the statistical tests applied, the models that best fitted the experimental data were Modified Henderson-Pabis, Weibull and Proposed model 2, respectively. Bifactorial analysis of variance ANOVA showed that Diet A (fishmeal 44%, spirulin 9%, fish oil 1% and cornstarch 36%) presented the highest diffusion coefficient values, which were favored by the temperature increase in the drying process.

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The present study was focused on the analysis of agronomical, nutritional, physicochemical, and antioxidant properties of six genetically different quinoa (Chenopodium quinoa Willd) genotypes cultivated in three distinctive geographical zones of Chile. Ancovinto and Cancosa genotypes from the northern Altiplano (19 ºS), Cáhuil and Faro from the central region (34 ºS), and Regalona and Villarica from the southern region (39 ºS) are representative of high genetic differentiation among the pooled samples, in particular between Altiplano and the central-southern groups. A Common-Garden Assay at 30 ºS showed significant differences among seed origins in all morphometric parameters and also in yields. Altiplano genotypes had larger panicule length but no seed production. A significant influence of the different quinoa genotypes on chemical composition and functional properties was also observed. Protein concentration ranged from 11.13 to 16.18 g.100 g-1 d.m., while total dietary fiber content ranged from 8.07-12.08 g.100 g-1 d.m., and both were the highest in Villarrica ecotype. An adequate balance of essential amino acids was also observed. Sucrose was the predominant sugar in all genotypes. Antioxidant activity was high in all genotypes, and it was highest in Faro genotype (79.58% inhibition).

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The aim of this study was to evaluate the influence of high hydrostatic pressure (150, 250, 350, 450, and 550 MPa), applied for 5 minutes, on antioxidant capacity, total phenolic content, color, firmness, rehydration ratio, and water holding capacity of aloe vera gel stored for 60 days at 4 °C. The analyzed properties of the pressurized gel showed significant changes after the storage period. The highest value of total phenolic content was found at 550 MPa. However, a decrease in the antioxidant capacity was observed for all pressurized gel samples when compared to the control sample (p < 0.05). The smallest changes in product color were observed at pressure levels between 150 and 250 MP. The application of high hydrostatic pressure resulted in lower gel firmness, and the lowest value was found at 150 MPa (p < 0.05). On the other hand, the untreated sample showed a greater decrease in firmness, indicating that high pressure processing preserves this property. The application of high hydrostatic pressure exhibited modifications in the food matrix, which were evaluated in terms of rehydration ratio and water holding capacity.

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In this study, the effects of hot-air drying conditions on color, water holding capacity, and total phenolic content of dried apple were investigated using artificial neural network as an intelligent modeling system. After that, a genetic algorithm was used to optimize the drying conditions. Apples were dried at different temperatures (40, 60, and 80 °C) and at three air flow-rates (0.5, 1, and 1.5 m/s). Applying the leave-one-out cross validation methodology, simulated and experimental data were in good agreement presenting an error < 2.4 %. Quality index optimal values were found at 62.9 °C and 1.0 m/s using genetic algorithm.