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| Hauth,Michele R.; Botelho,Fernando M.; Hoscher,Renata H.; Botelho,Sílvia de C. C.; Oliveira,Gabriel H. H. de. |
| ABSTRACT The knowledge of physical properties of grains is important for the optimization of postharvest operations. Thus, this study aimed to evaluate the effect of moisture content over physical properties of different cultivars of soybean. Soybean of cultivars NS7901RR, TMG1180RR, P98Y70 and TMG132RR were used, with initial moisture content of 0.32, 0.27, 0.25 and 0.21 dry basis (d.b.), respectively. In order to dry the samples, an oven of forced air circulation was used. Samples were dried at temperature of 50 °C, being the drying procedure stopped when the moisture content of soybean was equal or inferior than 0.15 (d.b.). During drying, for interested moisture contents, physical properties were determined: bulk density, equivalent diameter,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max (L.); Moisture content; Physical characteristics; Shape and size. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000400590 |
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| Botelho,Fernando M.; Boschiroli Neto,Nilso J.; Botelho,Silvia de C. C.; Oliveira,Gabriel H. H. de; Hauth,Michele R.. |
| ABSTRACT Knowledge of the water sorption phenomenon in Brazil nut seeds will allow proper handling of this product, especially with regard to adequate conditions for safe storage. Thus, the present study aimed to determine the sorption isotherms (desorption and adsorption) of Brazil nuts, fitting different mathematical models to the experimental data, as well as to examine the hysteresis effect. To obtain the sorption isotherms, the static method was employed at temperatures of 25, 35, 45 and 55 °C and air relative humidities varying from 10 to 80%. The psychrometric conditions of the air were acquired with the aid of acid solutions and specific saturated saline left inside desiccators with the samples. It was verified that for a given isotherm, the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Bertholletia excelsa; Moisture content; Hysteresis; Mathematical modeling. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019001000776 |
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