A didactic chemometrics experiment for design of experiments (DOE): evaluation of experimental conditions in the spectrophotometric determination of Iron II with<i>o</i>-phenanthroline. A tutorial, part III

Breitkreitz, Márcia Cristina; Souza, Alexandre Lima de; Poppi, Ronei J.

doi:10.5935/0100-4042.20140092

Cited by 14 publications

(2 citation statements)

References 2 publications

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“…Isso é feito com uma grande economia de experimentos e de, consequentemente, tempo, esforços e custos ao contrário da otimização univariada que não possibilita ter uma ideia inicial do número de experimentos que serão realizados. 6,65 Dentre as diversas técnicas multivariadas de otimização, a metodologia de superfícies de respostas (MSR) vem sendo muito aplicada por causa de sua alta eficiência, poder de modelagem e capacidade de exploração dos sistemas estudados. A MSR pode ser entendida como uma combinação de técnicas de planejamento de experimentos, análise de regressão e métodos de otimização e se baseia no ajuste de modelos matemáticos empíricos aos dados experimentais obtidos segundo uma determinada matriz experimental com o objetivo de descrever o comportamento destes dados e fazer previsões estatisticamente válidas.…”

Section: Introductionunclassified

Optimization of Analytical Methods Using Response Surface Methodology - Part I: Process Variables

Novaes¹,

Yamaki²,

Paula³

et al. 2017

Rev. Virtual Quim.

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The present paper approaches the application of response surface methodology (RSM) in the optimization of variables for analytical methods development. Some basic principles of this multivariate method are presented and characteristics of the main experimental designs are discussed. Examples of RSM application for optimization of analytical methods is also presented to illustrate the potentialities of these chemometric tools.

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Section: Introductionunclassified

Optimization of Analytical Methods Using Response Surface Methodology - Part I: Process Variables

Novaes¹,

Yamaki²,

Paula³

et al. 2017

Rev. Virtual Quim.

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show abstract

“…The quality of the model adjustments to the experimental data was verified through analysis of variance (ANOVA) for model adjust selected of the data, and commonly used in modelling, it is necessary to check firstly if the regression is significant and if there is evidence of lack of adjustment (Breitkreitz et al, 2014). The ANOVA was performed for the models, at the level of 10% of significance and the dates analyses was used F test for regression and lack of fit and compared with Ftabulated.…”

Section: Levels Of Coded and Real Independent Variablesmentioning

confidence: 99%

Interaction between S. cerevisiae MONA, PE-2, CAT-1 and ATCC in fermentation sugar cane broth

Santos

Freitas

Souza

et al. 2021

RSD

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The diversity microbial in ethanolic fermentation generate different behavior metabolic that depended on the microorganisms present. Some kinetic parameters can tell how interactions between microorganisms are occurring in fermentation and can also predict your metabolic behaviors. However, there are little studys about the influence of interactions microbial on kinetic parameters in fermentation sugar cane. Therefore, this work aimed to understand the influence of the yeast strain Saccharomyces cerevisiae CAT-1, MONA, PE-2 and ATCC in the production of biomass, ethanol, glycerol and sugar consumption, as well as to evaluate the kinetic parameters by means of response surface methodology for mixing. From the biomass models generated, it was observed that the yeasts ATCC and MONA when in the presence of CAT-1 and PE-2 showed antagonisms. For the ethanol, the synergistic effect was verified for the mixture MONA/ATCC and CAT-1/PE-2 being that CAT-1 and PE-2 were the yeasts that strongly favored the ethanol production. It stands out yeast MONA due to having lower glycerol production, character desirable in the sugar and alcohol industry. Thus, it is clear that from the analysis employed it was possible to infer about the kinetic behavior of the yeasts in pure cultures as well as the effect of the interaction between them during the cultivation.

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Automated method using direct-immersion solid-phase microextraction and on-fiber derivatization coupled with comprehensive two-dimensional gas chromatography high-resolution mass spectrometry for profiling naphthenic acids in produced water

Crucello

Sampaio

Medeiros

et al. 2023

Journal of Chromatography A

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A didactic chemometrics experiment for design of experiments (DOE): evaluation of experimental conditions in the spectrophotometric determination of Iron II witho-phenanthroline. A tutorial, part III

Cited by 14 publications

References 2 publications

Optimization of Analytical Methods Using Response Surface Methodology - Part I: Process Variables

Optimization of Analytical Methods Using Response Surface Methodology - Part I: Process Variables

Interaction between S. cerevisiae MONA, PE-2, CAT-1 and ATCC in fermentation sugar cane broth

Automated method using direct-immersion solid-phase microextraction and on-fiber derivatization coupled with comprehensive two-dimensional gas chromatography high-resolution mass spectrometry for profiling naphthenic acids in produced water

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