Application of the bootstrap method in the optimization of beet betacyanin extraction

Authors

DOI:

https://doi.org/10.5902/2179460X71479

Keywords:

Optimization, Bioactive compounds, Betacyanin, Resampling, Bootstrap

Abstract

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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Author Biographies

Gabrielli Clímaco, Universidade Estadual de Campinas (UNICAMP)

Engenheira de Alimentos pela Universidade Federal do Maranhão (2016), atuando principalmente nosseguintes temas: cupuaçu, chá-verde, néctar misto e análise sensorial. Mestra em Engenharia de Alimentos pelaUniversidade Estadual de Maringá com ênfase na otimização da extração de compostos bioativos de vegetais.Doutoranda em Engenharia de Alimentos pela UNICAMP, na área de extração de bioativos por tecnologia comalta pressão e produção de sistemas gelificados.

Diogo Francisco Rossoni, Universidade Estadual de Maringá

Graduado em Matemática pela Universidade Estadual do Oeste do Paraná - UNIOESTE. Especialista em Matemática e Estatística pela Universidade Federal de Lavras - UFLA. Mestre e Doutor em Estatística e Experimentação Agropecuária pela Universidade Federal de Lavras - UFLA. Foi membro do Conselho de liberativo da Fundação de Apoio ao Ensino, Pesquisa e Extensão - FAEPE, no período de 2010 a 2012. Foi membro/coordenador da Associação de Pós-graduandos da UFLA no período de 2009 a 2012, sendo Presidente no ano de 2011. Foi membro do Comitê Permanente de Ética em Pesquisa Envolvendo Seres Humanos -COPEP/UEM de 2013 a 2016. Foi coordenador adjunto do programa de pós-graduação (mestrado) em Engenharia de Alimentos da Universidade Estadual de Maringá - UEM, no período de 2016 a 2019. Participa como pesquisador dos seguintes grupos de pesquisa: Planejamento e Análise de Experimentos (UFLA), Grupo de Pesquisa em Construções e Ambiência em Biossistemas - COAMBI (UFLA), Grupo de Estudos em Séries Temporais e Espaciais - GESTE (UEM), Estatística Geoespacial (UFV) e Sistemas e Processos em Engenharia Química (UEM). Atualmente é professor Associado no Departamento de Estatística - DES e Coordenador do programa de pós-graduação (mestrado) em Bioestatística da Universidade Estadual de Maringá - UEM. Orientador em nível de pós-graduação (mestrado) nos programas de Bioestatística e Engenharia de Alimentos, além de lecionar no programa de Zootecnia (mestrado/doutorado). Principais áreas de interesse: Estatística Espacial, Geoestatística, Estatística Experimental, Modelos não-lineares, Otimização de Experimentos, Bootstrap e Métodos computacionais intensivos.

Rita de Cássia Bergamasco, Universidade Estadual de Maringá

Possui graduação em Engenharia Química pela Universidade Estadual de Maringá (2000), mestrado em Engenharia Química pela Universidade Estadual de Maringá (2002) e doutorado em Engenharia Química pela Universidade Estadual de Maringá (2006). Atualmente é coordenadora de monitoria da Universidade Estadual de Maringá, coordenadora adjunta do Departamento de Engenharia de Alimentos da Universidade Estadual de Maringá, revisora de periódico da ACTA SCIENTARIUM (UEM), revisora de periódico da Revista do Instituto Adolfo Lutz (Impresso), revisora de periódico da INDUSTRIAL CROPS AND PRODUCTS e revisora de periódico da FOOD HYDROCOLLOIDS. Tem experiência na área de Engenharia Química, atuando principalmente nos seguintes temas: ciclodextrina, complexação, aromas, superfícies celulósicas.

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Published

2024-07-31

How to Cite

Clímaco, G., Rossoni, D. F., & Bergamasco, R. de C. (2024). Application of the bootstrap method in the optimization of beet betacyanin extraction. Ciência E Natura, 46, e71479. https://doi.org/10.5902/2179460X71479

Issue

Vol. 46 (2024): Publicação contínua

Section

Statistics

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