2016
DOI: 10.1517/17425247.2016.1166202
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Combined mixture-process variable approach: a suitable statistical tool for nanovesicular systems optimization

Abstract: This indicates the validity of combined MPV design and modeling for optimization of transfersomal formulations as an example of nanovesicular systems.

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Cited by 22 publications
(12 citation statements)
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“…Additionally, to ascertain the validity of the suggested models, the 95% two-sided prediction intervals (95% PIs) for the predicted values were calculated and all measured values for each response were assessed to find whether they fall within the 95% PIs or not (Habib and AbouGhaly, 2016 ). Desirability function approach (DF) was applied by the Design ® expert software in order to simultaneously compromise the several conflicting response variables to attain optimum formulations that best satisfy the predetermined constraints previously listed in Table 1 (Park and Park, 1998 ).…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, to ascertain the validity of the suggested models, the 95% two-sided prediction intervals (95% PIs) for the predicted values were calculated and all measured values for each response were assessed to find whether they fall within the 95% PIs or not (Habib and AbouGhaly, 2016 ). Desirability function approach (DF) was applied by the Design ® expert software in order to simultaneously compromise the several conflicting response variables to attain optimum formulations that best satisfy the predetermined constraints previously listed in Table 1 (Park and Park, 1998 ).…”
Section: Methodsmentioning
confidence: 99%
“…The proposed design in this study allows for the fitting of up to a quadratic model with three df for lack of fit or special cubic with only two df for lack of fit. The initial models suggested by the program were further manually improved case-by-case aiming at increasing the adjusted R 2 and the prediction R 2 with a non-significant model lack of fit (Gonnissen et al., 2008 ; Pat & Wayne, 2014 ; Habib & AbouGhaly, 2016 ). For each final model, a valid lack of fit test was censured by a four df pure error and a minimum of three df for lack of fit (Pat & Wayne, 2014 ).…”
Section: Resultsmentioning
confidence: 99%
“…A steep slope or curvature in a line indicates a relatively high sensitivity of response to that MixC. As a result of the effects of different MixCs on each response, contour plots were plotted representing lines of equal response over the design space (Habib & AbouGhaly, 2016 ).…”
Section: Resultsmentioning
confidence: 99%
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“…d m ranges from 0 to 1. where D is the desirability of the formula ranging from 0 to 1, d m is the individual desirability of each response, m is the number of responses to be optimized (Habib & AbouGhaly, 2016 ).…”
Section: Methodsmentioning
confidence: 99%