A study of the desorption isotherms of lentils

Barrozo, M. A. S.; Oliveira, Daniel Tostes; Sancineti, G.P.; Rodrigues, Marcos Vinícius

doi:10.1590/s0104-66322000000100010

Cited by 10 publications

(10 citation statements)

References 7 publications

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“…However, the use of these models depends on the knowledge of the water activity or relative humidity of air, the drying temperature, and material-specific parameters. In the absence of these data, the equilibrium moisture data must be obtained in laboratory by gravimetry or hygrometry (Barrozo et al, 2000;Mujumdar, 1987). Tithed aim of this work was to investigate the drying kinetics and adsorption moisture, and their fittings for mathematical models as tools for the design and simulation of industrial feed dryers.…”

Section: Introductionmentioning

confidence: 99%

Modeling of drying and adsorption isotherms of the fish feed

Pacheco

Luz

Polon

et al. 2011

Braz. arch. biol. technol.

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Section: Introductionmentioning

confidence: 99%

Modeling of drying and adsorption isotherms of the fish feed

Pacheco

Luz

Polon

et al. 2011

Braz. arch. biol. technol.

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“…Following the methodology used by Bramardi et al (1998), Barrozo et al (2000) and Yeragani et al (2003), working with small data sets for the fit of nonlinear equations.…”

Section: Experimental Datamentioning

confidence: 99%

Statistical models to describe the fruit growth pattern in sweet orange "Valencia late"

Avanza

Bramardi

Mazza

2008

Span. j. agric. res.

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The objective of the present work was to find the statistical model that best describes the pattern of fruit growth of sweet orange 'Valencia late' in the departments of Concepción (orchard 1) and General Paz (orchard 2), province of Corrientes, Argentina. In order to fit the growth curves, models of sigmoid type: Logistic, Gompertz, Weibull, Morgan Mercer Flodin, Richards, and reparameterizations of the Logistic and Gompertz models, were evaluated and compared. As criteria for selecting the model, measures of nonlinearity and estimates of residual variance for the different models and reparameterizations were compared. The model found to be most suitable to describe 'Valencia late' orange fruit growth was the fifth parameterization of Logistic model:. In this model, β and γ had similar values on all fruit sizes in orchard 1, but different values for fruit sizes in orchard 2; α values varied for both orchards between fruit sizes. For this reason, a family of curves will be necessary for different situations. Additional key words: citrus fruits, logistic equation, measures of nonlinearity. ResumenModelos estadísticos para describir el patrón de crecimiento de frutos de naranjo dulce 'Valencia late'El objetivo del presente trabajo fue encontrar el modelo estadístico que mejor describa el patrón de crecimiento de frutos de naranjo dulce var. 'Valencia late' en los departamentos de Concepción (chacra 1) y General Paz (chacra 2), provincia de Corrientes, Argentina. Para ajustar dichas curvas de crecimiento se evaluaron y compararon los modelos de tipo sigmoideo: Logístico, Gompertz, Weibull, Morgan Mercer Flodin, Richards, y reparametrizaciones de los modelos Logístico y Gompertz. Como criterios de selección del modelo, se compararon las magnitudes de las medidas de no linealidad y las estimaciones de la varianza residual para los distintos modelos y reparametrizaciones evaluadas. La combinación modelodatos-parametrización más adecuada para describir el crecimiento de frutos de naranjo dulce 'Valencia late' fue la quinta parametrización del modelo Logístico:. En este modelo, β y γ presentan valores similares para todos los tamaños de fruto en la chacra 1, y diferentes valores por tamaño de fruto en la chacra 2; los valores de α difieren entre tamaño de frutos en ambas chacras. Por esta razón, es necesaria una familia de curvas para las diferentes situaciones. Palabras clave adicionales: ecuación logística, frutos cítricos, medidas de no linealidad.

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“…Os dados de umidade de equilíbrio variam com o tipo de sólido e podem ser determinados, experimentalmente, por métodos estáticos ou dinâmicos, conforme BarrOZO [1]. estes dados de umidade de equilíbrio raramente são encontrados na literatura, uma destas exceções é o trabalho de PixTON e WarBUrTON [9], que apresentaram dados para farelo de soja a 15, 25 e 35ºC, uma faixa de temperatura adequada para o armazenamento.…”

Section: Estudo Das Isotermas De Equilíbrio Do Farelounclassified

“…Neste contexto, o objetivo deste trabalho foi determinar, experimentalmente, os dados de umidade de equilíbrio do farelo de soja, utilizando soluções salinas saturadas a 50, 60 e 70ºC, segundo a metodologia descrita por BarrOZO [1], MUJUNDar [6] e GreeNSPaN [4], a qual é baseada em um procedimento estático. Posteriormente, os cálculos foram realizados no software Statistica 6.0  através do método de iteração de rosenbrock e Quasi-Newton.…”

Section: Ur Xeunclassified

Estudo das isotermas de equilíbrio do farelo de soja

Luz¹,

Sousa²,

Jorge³

et al. 2006

Ciênc. Tecnol. Aliment.

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O farelo de soja, resultante da extração do óleo de soja, possui grande importância no mercado agropecuário brasileiro e mundial como ração animal e complemento alimentar humano, conforme salientado por Teixeira [12].O farelo de soja, conforme ParaÍSO [7], representa 70% da massa sólida do grão de soja, sendo que 51% correspondem às proteínas, 43% aos carboidratos e 6% às cinzas. a soja passa por várias fases até a obtenção do farelo de soja descritas por SarTOri [10] . Os resultados indicam que a temperatura não exerce influência significativa sobre os valores da umidade de equilíbrio do farelo de soja na faixa de condições experimentais exploradas e que os modelos de HaLSeY e de LUiKOV podem ser utilizados para prever a umidade de equilíbrio do farelo soja. Palavras-chave: farelo de soja, umidade de equilíbrio, isoterma, secagem. SUMMARYSTUDY OF THe eQUiLiBriUM iSOTHerMS OF SOYBeaN MeaL. This work has as aim to study the behavior of the isotherms of the soybean meal. Therefore, experiments had been carried out by using the static method with saturated salt solution at 50, 60 and 70ºC. The data had been adjusted to the equations of the literature, using Statistica software 6.0  . The results indicated that the temperature does not affect significantly the moisture equilibrium values of the soybean meal in the range of temperatures studied and that the LUiKOV and the HaLSeY models can be used to foresee the moisture equilibrium of the soybean meal.

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A study of the desorption isotherms of lentils

Cited by 10 publications

References 7 publications

Modeling of drying and adsorption isotherms of the fish feed

Modeling of drying and adsorption isotherms of the fish feed

Statistical models to describe the fruit growth pattern in sweet orange "Valencia late"

Estudo das isotermas de equilíbrio do farelo de soja

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