Isotherms and Isosteric Heat Desorption of Hymenaea stigonocarpa Mart. Seeds

Abstract

The Brazilian Cerrado is one of the most important ecosystems and due to the extractivism it is necessary to recover the degraded areas. The tree of Hymenaea stigonocarpa Mart. is used in this reforestation system, so the study of post-harvest management of the seed is necessary for the propagation. The objective of this work was to determine the isotherms and the isosteric desorption heat of Hymenaea stigonocarpa Mart. Seeds, and to test the methodology of the Akaike’s information criterion (AIC) and Schwarz’s bayesian information criterion (BIC) for the choice of the best mathematical model. Different mathematical models were fitted to the experimental data and the model that best represents the phenomenon was selected, from the statistical parameters. To obtain the equilibrium moisture content was used static method using desiccants in incubators cameras with control of relative humidity by salt solution. The Oswin Modified model obtained better results according to analyzed parameters, being this model the one selected for prediction of the hygroscopic balance of the Hymenaea stigonocarpa Mart. seeds. It was found that the higher the temperature for the same equilibrium moisture content, the higher the water activity values. The AIC and BIC methodology contributed to the choice of the best mathematical model to predict the hygroscopicity phenomenon. The isosteric heat increased with the decrease in the equilibrium moisture content requiring a greater amount of energy to remove water from the seeds.

Drying Kinetics of Noni Seeds

“…However, some of these parameters have limitations, thus requiring the adoption of complementary criteria in the selection of the model to emphasize and endorse the decision-making. Thus, the Akaike Information Criterion (AIC) and Schwarz's Bayesian Information Criterion (BIC) consist in evaluating the models based on the parsimony principle, since the number of parameters in the models is variable (Gomes, Resende, Sousa, Oliveira, & Araújo Neto, 2018;Ferreira Junior, Resende, Oliveira, & Costa, 2018).…”

Hygroscopicity of Castor Bean Seeds (Ricinus communis L.)

“…For the seeds of the EVF106 genotype, the Modified Oswin model showed the lowest AIC and BIC criteria, indicating the most appropriate model (Figure 1b). According to the results of Ferreira Júnior, Resende, Oliveira & Costa [23], the Modified Oswin model fitted better to the experimental values obtained by the static method to determine the moisture content of Hymenaea stigonocarpa Mart seeds. The modified Oswin model was also more suitable to describe the isotherms of yellow pepper (Capsicum chinense L.) (Ferreira, et al 2011), among other species [24,25].…”

“…Furthermore, the Akaike information criterion (AIC) and the Schwarz Bayesian information criterion (BIC) collaborated in the choice of the best mathematical model to estimate the adsorption isotherms of Ricinus communis L., as well as Ferreira Júnior et al [23] verified that this methodology can be included in the criterion of selection of models to estimate the sorption isotherms of vegetal products [41,42].…”

DESORPTION ISOTHERMS OF GRAIN SORGHUM (Sorghum bicolor [L.] Moench) FLOUR

“…Therefore, the modified Oswin mathematical model presented the lowest values among the two models analyzed using AIC and BIC (Table 2), being recommended for representing the sorption isotherms of Engenharia Agrícola, Jaboticabal, v.44, e20230063, 2024 grain sorghum flour. These criteria have been used satisfactorily by different authors as an auxiliary criterion in choosing mathematical models to estimate the studied processes (Ferreira Junior et al, 2018;Gomes et al, 2018;Quequeto et al, 2019). Considering all the evaluated statistical parameters relative to the fitting of the mathematical models to the experimental data, the modified Oswin model was used to represent the sorption isotherms of grain sorghum (Sorghum bicolor (L.) Moench) flour (Figure 1).…”