R
Roy Edward Bruns
Researcher at State University of Campinas
Publications - 38
Citations - 4047
Roy Edward Bruns is an academic researcher from State University of Campinas. The author has contributed to research in topics: Dipole & Factorial experiment. The author has an hindex of 21, co-authored 34 publications receiving 3533 citations. Previous affiliations of Roy Edward Bruns include University of São Paulo.
Papers
More filters
Journal ArticleDOI
Box-Behnken design: An alternative for the optimization of analytical methods
Sergio Luis Costa Ferreira,Roy Edward Bruns,Hadla S. Ferreira,Geraldo D. Matos,Jorge Mauricio David,Geovani C. Brandao,E.G.P. da Silva,Lindomar A. Portugal,P.S. dos Reis,Anderson Santos Souza,W. N. L. dos Santos +10 more
TL;DR: The present paper describes fundamentals, advantages and limitations of the Box-Behnken design for the optimization of analytical methods, and establishes also a comparison between this design and composite central, three-level full factorial and Doehlert designs.
Journal ArticleDOI
Statistical designs and response surface techniques for the optimization of chromatographic systems
Sergio Luis Costa Ferreira,Roy Edward Bruns,Erik Galvão Paranhos da Silva,Walter Nei Lopes dos Santos,Cristina M. Quintella,Jorge Mauricio David,Jailson B. de Andrade,Márcia Cristina Breitkreitz,Isabel C. S. F. Jardim,Benício de Barros Neto +9 more
TL;DR: The surface response methodologies: central composite design, Doehlert matrix and Box-Behnken design are discussed and applications of these techniques for optimization of sample preparation steps and determination of experimental conditions for chromatographic separations are presented.
Book
Statistical design--chemometrics
TL;DR: This chapter discusses statistics, modeling, and optimization in the context ofixtures modeling, where there are many variables and the response surface is very large.
Journal ArticleDOI
The removal of the indigo carmine dye from aqueous solutions using cross-linked chitosan: evaluation of adsorption thermodynamics using a full factorial design.
TL;DR: It is concluded that the thermodynamical spontaneity of the IC adsorption parameters are greatly influenced by the interactive factors and not by the temperature changes alone.
Journal ArticleDOI
Simulation of an industrial wastewater treatment plant using artificial neural networks and principal components analysis
TL;DR: In this article, a backpropagation neural network was used to predict the biochemical oxygen demand of the output stream of the biological wastewater treatment plant at RIPASA S/A Celulose e Papel, one of the major pulp and paper plants in Brazil.