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| Antonio,Graziella Colato; Azoubel,Patrícia Moreira; Murr,Fernanda Elizabeth Xidieh; Park,Kil Jin. |
| The aim of this work was to evaluate the osmotic dehydration of sweet potato (Ipomoea batatas) using hypertonic sucrose solutions, with or without NaCl, at three different concentrations, at 40 °C. Highest water losses were obtained when the mixture of sucrose and NaCl was used. The addition of NaCl to osmotic solutions increases the driving force of the process and it is verified that the osmotic dehydration process is mainly influenced by changes in NaCl concentration, but the positive effect of the salt-sucrose interaction on soluble solids also determined the decrease of solid gain when solutes were at maximum concentrations. Mass transfer kinetics were modeled according to Peleg, Fick and Page's equations, which presented good fittings of the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Sucrose; Salt; Effective diffusivity; Empirical models. |
| Ano: 2008 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612008000300028 |
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| Igarashi,Wagner Teigi; Silva,Marcelo Augusto de Aguiar e; França,José Alexandre de; Igarashi,Seiji; Saab,Otávio Jorge Grigoli Abi. |
| Abstract: The objective of this work was to determine models for the estimation of leaf wetness percentage at three heights in the soybean (Glycine max) canopy, using meteorological variables from stations installed at the crop site and at an agrometeorological station. The experiment was conducted in three harvest seasons, in an area cropped with soybean, in the municipality of Londrina, in the state of Paraná, Brazil. To collect the meteorological variables, electronic trees were installed at four heights (0.3, 0.6, 0.9, and 1.7 m) in the crop and a station was installed in an agrometeorological station. The data were separated according to days with and without rain, and the analyses of correlation and of simple and multiple regressions were carried... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Empirical models; Leaf wetness sensors; Percentage of leaf wetness. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018001001087 |
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