Experimental Design for Modeling and Multi-response Optimization of Catalytic Cyclohexene Epoxidation over Polyoxometalates

2017 ◽  
Vol 65 (4) ◽  
pp. 435-444 ◽  
Author(s):  
Souheyla Boudjema ◽  
Mostapha Zerrouki ◽  
Abderrahim Choukchou-Braham
Keyword(s):  
Experimental Design ◽  
Cyclohexene Epoxidation ◽  
Response Optimization

scholarly journals Interaction of p-synephrine with p-chloranil: experimental design and multiple response optimization

RSC Advances ◽  
2016 ◽  
Vol 6 (69) ◽  
pp. 64967-64976 ◽  
Author(s):  
Marwa S. Elazazy ◽  
K. Ganesh ◽  
V. Sivakumar ◽  
Yasser H. A. Huessein
Keyword(s):  
Experimental Design ◽  
Factorial Design ◽  
Performance Characteristic ◽  
Present Approach ◽  
Multiple Response ◽  
Multiple Responses ◽  
Characteristic P ◽  
Multiple Response Optimization ◽  
Response Optimization

A multivariate factorial design was proposed for determination ofp-synephrine. Novelty of present approach stems from consolidating multiple responses into a unified performance characteristic.

Experimental design for modelling and multi-response optimization of Fe–Ni electroplating process

2015 ◽  
Vol 96 ◽  
pp. 138-149 ◽  
Author(s):  
Maria Poroch-Seritan ◽  
Igor Cretescu ◽  
Corneliu Cojocaru ◽  
Sonia Amariei ◽  
Cornel Suciu
Keyword(s):  
Experimental Design ◽  
Response Optimization ◽  
Electroplating Process

scholarly journals Experimental design employed to square wave voltammetry response optimization for the glyphosate determination

2004 ◽  
Vol 15 (6) ◽  
pp. 865-871 ◽  
Author(s):  
Reinaldo F. Teófilo ◽  
Efraim L. Reis ◽  
César Reis ◽  
Gilmare A. da Silva ◽  
Lauro T. Kubota
Keyword(s):  
Experimental Design ◽  
Square Wave Voltammetry ◽  
Square Wave ◽  
Wave Voltammetry ◽  
Response Optimization

Decolorization and mineralization of Diarylide Yellow 12 (PY12) by photo-Fenton process: the Response Surface Methodology as the optimization tool

2012 ◽  
Vol 65 (10) ◽  
pp. 1795-1800 ◽  
Author(s):  
Edison GilPavas ◽  
Izabela Dobrosz-Gómez ◽  
Miguel Ángel Gómez-García
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Textile Industry ◽  
Fenton Process ◽  
Photo Degradation ◽  
Operational Conditions ◽  
Response Optimization ◽  
Wavelength Radiation ◽  
Optimized Conditions

The Response Surface Methodology (RSM) was applied as a tool for the optimization of the operational conditions of the photo-degradation of highly concentrated PY12 wastewater, resulting from a textile industry located in the suburbs of Medellin (Colombia). The Box-Behnken experimental Design (BBD) was chosen for the purpose of response optimization. The photo-Fenton process was carried out in a laboratory-scale batch photo-reactor. A multifactorial experimental design was proposed, including the following variables: the initial dyestuff concentration, the H2O2 and the Fe+2 concentrations, as well as the UV wavelength radiation. The photo-Fenton process performed at the optimized conditions resulted in ca. 100% of dyestuff decolorization, 92% of COD and 82% of TOC degradation. A kinetic study was accomplished, including the identification of some intermediate compounds generated during the oxidation process. The water biodegradability reached a final DBO5/DQO = 0.86 value.

Identifying suboptimalities with factorial model comparison

2018 ◽  
Vol 41 ◽  
Author(s):  
Wei Ji Ma
Keyword(s):  
Experimental Design ◽  
Model Comparison ◽  
Process Models ◽  
Multiple Forms ◽  
Factorial Experimental Design ◽  
Factorial Model ◽  
Multiple Components ◽  
The Many

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.

Combining integrated systems-biology approaches with intervention-based experimental design provides a higher-resolution path forward for microbiome research

2019 ◽  
Vol 42 ◽  
Author(s):  
J. Alfredo Blakeley-Ruiz ◽  
Carlee S. McClintock ◽  
Ralph Lydic ◽  
Helen A. Baghdoyan ◽  
James J. Choo ◽  
...  
Keyword(s):  
Systems Biology ◽  
High Resolution ◽  
Experimental Design ◽  
Integrated Systems ◽  
Microbiome Research ◽  
Constructive Criticism

Abstract The Hooks et al. review of microbiota-gut-brain (MGB) literature provides a constructive criticism of the general approaches encompassing MGB research. This commentary extends their review by: (a) highlighting capabilities of advanced systems-biology “-omics” techniques for microbiome research and (b) recommending that combining these high-resolution techniques with intervention-based experimental design may be the path forward for future MGB research.

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