Statistical modelling of the soaking kinetics of corn and soybean cultivars
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| Format: | Artículo científico |
| Langue: | en |
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Universidade Estadual de Maringá
2019
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| _version_ | 1876449125085478912 |
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| author | Lorena Brito Miranda |
| author_facet | Lorena Brito Miranda |
| contents | Statistical modelling of the soaking kinetics of corn and soybean cultivars Lorena Brito Miranda Bruna Araújo de Moura Glêndara Aparecida de Souza Martins Ana Flávia Santos Coelho Warley Gramacho da Silva Ingeniería canned Zea mays Glycine max water absorption models adjustments Consumption of cereals and legumes often requires that seeds are first hydrated to facilitate operations such as canning or cooking in order to decrease cooking time and increase the leaching of materials. This research aimed at evaluating the effect of temperature and time on soaking kinetics of corn and soybean cultivars, and apply different statistical models to describe the process. Hydration experiments were performed in temperatures of 25, 35, 45, 55 and 65ºC. Studies on immersion in water showed that the absorption rate was greater during initial phase of immersion and at higher temperatures. Peleg, Weibull and First-order kinetics models obtained the best fits to the experimental data. Weibull model is the one that best describes the soaking kinetics of corn and soybean in the investigated temperatures. 2019 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303260200059 https://www.redalyc.org/journal/3032/303260200059/ https://www.redalyc.org/journal/3032/303260200059/html/ https://www.redalyc.org/journal/3032/303260200059/303260200059.epub https://www.redalyc.org/journal/3032/303260200059/movil https://doi.org/10.4025/actascitechnol.v41i1.41803 en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Vol.41 |
| format | Artículo científico |
| id | redalyc_303260200059 |
| institution | Redalyc |
| language | en |
| publishDate | 2019 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Statistical modelling of the soaking kinetics of corn and soybean cultivars Lorena Brito Miranda Ingeniería canned Zea mays Glycine max water absorption models adjustments Statistical modelling of the soaking kinetics of corn and soybean cultivars Lorena Brito Miranda Bruna Araújo de Moura Glêndara Aparecida de Souza Martins Ana Flávia Santos Coelho Warley Gramacho da Silva Ingeniería canned Zea mays Glycine max water absorption models adjustments Consumption of cereals and legumes often requires that seeds are first hydrated to facilitate operations such as canning or cooking in order to decrease cooking time and increase the leaching of materials. This research aimed at evaluating the effect of temperature and time on soaking kinetics of corn and soybean cultivars, and apply different statistical models to describe the process. Hydration experiments were performed in temperatures of 25, 35, 45, 55 and 65ºC. Studies on immersion in water showed that the absorption rate was greater during initial phase of immersion and at higher temperatures. Peleg, Weibull and First-order kinetics models obtained the best fits to the experimental data. Weibull model is the one that best describes the soaking kinetics of corn and soybean in the investigated temperatures. 2019 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303260200059 https://www.redalyc.org/journal/3032/303260200059/ https://www.redalyc.org/journal/3032/303260200059/html/ https://www.redalyc.org/journal/3032/303260200059/303260200059.epub https://www.redalyc.org/journal/3032/303260200059/movil https://doi.org/10.4025/actascitechnol.v41i1.41803 en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Vol.41 |
| title | Statistical modelling of the soaking kinetics of corn and soybean cultivars |
| topic | Ingeniería canned Zea mays Glycine max water absorption models adjustments |
| url | https://www.redalyc.org/articulo.oa?id=303260200059 https://www.redalyc.org/journal/3032/303260200059/ https://www.redalyc.org/journal/3032/303260200059/html/ https://www.redalyc.org/journal/3032/303260200059/303260200059.epub https://www.redalyc.org/journal/3032/303260200059/movil https://doi.org/10.4025/actascitechnol.v41i1.41803 |