|
|
|
|
|
Silva,Hellismar W. da; Rodovalho,Renato S.; Velasco,Marya F.; Silva,Camila F.; Vale,Luís S. R.. |
ABSTRACT The objective of this study was to determine and model the drying kinetics of 'Cabacinha' pepper fruits at different temperatures of the drying air, as well as obtain the thermodynamic properties involved in the drying process of the product. Drying was carried out under controlled conductions of temperature (60, 70, 80, 90 and 100 °C) using three samples of 130 g of fruit, which were weighed periodically until constant mass. The experimental data were adjusted to different mathematical models often used in the representation of fruit drying. Effective diffusion coefficients, calculated from the mathematical model of liquid diffusion, were used to obtain activation energy, enthalpy, entropy and Gibbs free energy. The Midilli model showed the best... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Capsicum chinense L.; Moisture ratio; Enthalpy; Activation energy. |
Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000200174 |
| |
|
|
Furtado,Thais Destefani Ribeiro; Muniz,Joel Augusto; Silva,Edilson Marcelino; Fernandes,Jaqueline Gonçalves. |
Abstract Jabuticaba tree is native to the Atlantic Forest in Southern Brazil, and its fruit is widely consumed in the fresh form, but it is highly perishable, requiring conservation techniques. The aim of this study was to describe the drying kinetics of jabuticaba pulp at temperatures of 50 and 60°C, comparing the Henderson, Simple Three-Parameter Exponential, Lewis, Thompson, Fick and Wang and Sing regression models and estimating the Absolute Drying Rate (ADR) for the best model. Parameters were estimated using the SAS software. The evaluation of the quality in the adjustment and selection of models was made based on the adjusted determination coefficient, Residual Standard Deviation and Akaike Information Criterion. Models presented good adjustment to... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Food preservation; Moisture ratio; Nonlinear regression; Statistical models. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452019000100903 |
| |
|
| |
|
| |
|
| |
|
|
|