Application of the bootstrap method in the optimization of beet betacyanin extraction
The bootstrap method with resampling is a statistical tool that allows obtaining a greater confidence interval without the need for repetitions, as is the case with the RSM. The objective of this work was to apply this method in the extraction optimization of betacyanin from beet. Time and temperatu...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | Brasil |
| Recursos: | Universidade Federal de Santa Maria (UFSM) |
| Repositorio: | Revista Ciência e Natura (Online) |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/71479 |
| Acesso em linha: | https://periodicos.ufsm.br/cienciaenatura/article/view/71479 |
| Access Level: | acceso abierto |
| Palavra-chave: | Optimization Bioactive compounds Betacyanin Resampling Bootstrap Otimização Compostos Bioativos Betacianina Reamostragem |
| Resumo: | The bootstrap method with resampling is a statistical tool that allows obtaining a greater confidence interval without the need for repetitions, as is the case with the RSM. The objective of this work was to apply this method in the extraction optimization of betacyanin from beet. Time and temperature were used in a second-order CCRD, and the response variable was the betacyanin content. The optimum extraction point was obtained by RSM, at 28min and 66°C. From the bootstrap analysis a reliable ellipse was constructed, and the maximum amounts were located at 20-35min and 60-65ºC, confirming the maximum extraction point. These results suggest that the bootstrap method is useful in evaluating the reliability of the optimization of betacyanin extraction from beet, predicted by RSM. |
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