Central composite experimental designs: Applied to chemical systems

Palasota, John A.; Deming, Stanley N.

doi:10.1021/ed069p560

Cited by 45 publications

(36 citation statements)

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“…In order to establish a predictive model of the effects of various hydrolysis parameters on the antigenicity of whey protein hydrolysates and optimize hydrolysis conditions, the hydrolysis process has to be further investigated. Response surface modeling (RSM) has proven to be a valuable tool for simultaneous optimization of several process parameters in biological and chemical sciences (Palasota & Deming, 1992;van der Ven, Gruppen, de Bont, & Voragen, 2002;Vazquez-Lara, Tello-Solis, Gomez-Ruiz, GarciaGaribay, & Rodriguez-Serrano, 2003).…”

Section: Introductionmentioning

confidence: 99%

Effects of pH, temperature and enzyme-to-substrate ratio on the antigenicity of whey protein hydrolysates prepared by Alcalase

Hai

Shen

2008

International Dairy Journal

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Section: Introductionmentioning

confidence: 99%

Effects of pH, temperature and enzyme-to-substrate ratio on the antigenicity of whey protein hydrolysates prepared by Alcalase

Hai

Shen

2008

International Dairy Journal

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“…CCD is well fixed for fitting a quadratic surface that usually works well for optimization process [27-29]. The variables number, level of variables and number of responses are determined as input of experimental design.…”

Section: Methodsmentioning

confidence: 99%

Optimizing Bi2O3 and TiO2to achieve the maximum non-linear electrical property of ZnO low voltage varistor

Abdollahi

Zakaria

Aziz

et al. 2013

Chemistry Central Journal

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BackgroundIn fabrication of ZnO-based low voltage varistor, Bi2O3 and TiO2 have been used as former and grain growth enhancer factors respectively. Therefore, the molar ratio of the factors is quit important in the fabrication. In this paper, modeling and optimization of Bi2O3 and TiO2 was carried out by response surface methodology to achieve maximized electrical properties. The fabrication was planned by central composite design using two variables and one response. To obtain actual responses, the design was performed in laboratory by the conventional methods of ceramics fabrication. The actual responses were fitted into a valid second order algebraic polynomial equation. Then the quadratic model was suggested by response surface methodology. The model was validated by analysis of variance which provided several evidences such as high F-value (153.6), very low P-value (<0.0001), adjusted R-squared (0.985) and predicted R-squared (0.947). Moreover, the lack of fit was not significant which means the model was significant.ResultsThe model tracked the optimum of the additives in the design by using three dimension surface plots. In the optimum condition, the molars ratio of Bi2O3 and TiO2 were obtained in a surface area around 1.25 point that maximized the nonlinear coefficient around 20 point. Moreover, the model predicted the optimum amount of the additives in desirable condition. In this case, the condition included minimum standard error (0.35) and maximum nonlinearity (20.03), while molar ratio of Bi2O3 (1.24 mol%) and TiO2 (1.27 mol%) was in range. The condition as a solution was tested by further experiments for confirmation. As the experimental results showed, the obtained value of the non-linearity, 21.6, was quite close to the predicted model.ConclusionResponse surface methodology has been successful for modeling and optimizing the additives such as Bi2O3 and TiO2 of ZnO-based low voltage varistor to achieve maximized non-linearity properties.

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“…DoE has been utilised by Lonza Ltd as part of a standard methodology for optimising industrial reaction scale up, 161 as well as being used to optimise the de-protection of the amine protecting p-methoxyphenyl group in an automated microreactor platform. 162 There are now a number of more advanced optimisation methodologies are routinely used in flow chemistry and microfluidic applications, such as central composite 163 and full factorial design. 164 Of the several optimisation techniques available, potentially the most useful for flow applications are designs based on a class of figures known as simplexes.…”

Section: Introductionmentioning

confidence: 99%