Abstract
ABSTRACT The objective of this study was to determine the desorption isotherms and isosteric heat of Annona crassiflora Mart. seeds, using Akaike information criterion (AIC) and Schwarz’s Bayesian information criterion (BIC) to assist in the choice of the nonlinear regression model. The desorption isotherms were determined by indirect static method and water activity was obtained using the instrument HygroPalm; the product was put in the device in B.O.D. chamber set at 10, 20, 30 and 40 °C. Several nonlinear regression models were fitted to the experimental data by the Gauss-Newton method. The desorption isotherms of Annona crassiflora Mart. seeds can be represented by the models of Chung-Pfost, Copace, Modified GAB, Modified Henderson, Modified Oswin, Sabbah and Sigma Copace. However, the Sigma Copace model showed better fit to the experimental data, with lower AIC and BIC values, being chosen to represent the desorption isotherms of Annona crassiflora Mart seeds. Isosteric heat increased with decreasing moisture content, requiring a greater amount of energy to remove water from seeds, with values ranging from 2541.64 to 2481.56 kJ kg-1, for the moisture content range from 5.69 to 14.93% on a dry basis.
Highlights
IntroductionAnnona crassiflora Mart is a species native to the Cerrado, found in areas of ‘dirty’ grassland (grass and shrubs in shallow soil), whose fruits have a high commercial value, due to their several culinary uses
Annona crassiflora Mart is a species native to the Cerrado, found in areas of ‘dirty’ grassland, whose fruits have a high commercial value, due to their several culinary uses
The desorption isotherms of Annona crassiflora Mart. seeds can be represented by the models of Chung-Pfost, Copace, Modified GAB, Modified Henderson, Modified Oswin, Sabbah and Sigma Copace
Summary
Annona crassiflora Mart is a species native to the Cerrado, found in areas of ‘dirty’ grassland (grass and shrubs in shallow soil), whose fruits have a high commercial value, due to their several culinary uses. Araticum seeds are characterized by being able to perform gas exchange of water vapor, a process known as hygroscopicity (Corrêa et al, 2005). Due to this phenomenon, it is necessary to conduct studies on the post-harvest processing of these seeds due to the importance of storage in maintaining physiological quality for the perpetuation of the species, enabling its commercial use in the food industry. Study on the hygroscopicity of plant products can be performed by fitting nonlinear regression models to experimental data, under different conditions of air temperature and relative humidity
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