TUTORIAL PARA APLICAÇÃO DIDÁTICA DE PLANEJAMENTOS DE MISTURAS UTILIZANDO LIBREOFFICE E RSTUDIO

Autor(es)

Luiz Henrique Cantarino Adriano ^[1] ; João Marcos Beraldo Candido ^[2] ; Olívia Brito de Oliveira Moreira ^[3] ; Ieda Spacino Scarminio ^[4] ; Roy Edward Bruns ^[5] ; Marcone Augusto Leal de Oliveira ^[6]

Afiliação do(s) autor(es)

^[1] Universidade Federal de Juiz de Fora. Instituto de Ciências Exatas. Departamento de Química - Brasil

^[2] Universidade Federal de Juiz de Fora. Instituto de Ciências Exatas. Departamento de Química - Brasil

^[3] Universidade Federal de Juiz de Fora. Instituto de Ciências Exatas. Departamento de Química - Brasil

^[4] Universidade Estadual de Londrina. Centro de Ciências Exatas. Departamento de Química - Brasil

^[5] Universidade Estadual de Campinas. Instituto de Química - Brasil

^[6] Universidade Federal de Juiz de Fora. Instituto de Ciências Exatas. Departamento de Química - Brasil

• Tipo de documento: Artigo Científico
• Fonte: Química Nova; v. 47, n. 6 2024-02-09.

Resumo

ABSTRACT Mixture designs are becoming frequently used as a powerful tool in modern chemical research. Their versatility opens the door to countless applications, making it a must-have tool in any experimental environment. Mixture designs combined with mathematical regressions allow us to understand how component proportions affect a measured response leading to system optimization at minimum cost and providing an accurate description of system behaviour. Dedicated software is often used to perform data analysis in mixture design experiments, but many of them are only commercially available hindering the use of mixture designs by scientific groups. The availability of free software would make these designs even more attractive, allowing users to benefit from the creative potential of this toolset without the prohibitive cost of proprietary tools. RStudio and LibreOffice are some of the free software with the capability to perform the necessary data analysis accompanying mixture designs. To exemplify how mixture design analysis can be executed the book “Como Fazer Experimentos” was used as reference material. Both software presented good results and the potential to be used to perform data analysis for mixture design experiments. (AU)

• Processo FAPESP: 14/50867-3 - INCT 2014: Instituto Nacional de Ciência e Tecnologia de Bioanalítica
• Beneficiário: Marco Aurelio Zezzi Arruda
• Modalidade de apoio: Auxílio à Pesquisa - Temático