2014
DOI: 10.1016/j.ijpharm.2014.03.040
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A novel approach for the development and optimization of self emulsifying drug delivery system using HLB and response surface methodology: Application to fenofibrate encapsulation

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Cited by 49 publications
(32 citation statements)
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“…But, formulation development by the two methods is subjected to a large number of experiments. Recently a HLB coupled to response surface methodology (RSM) approach is developed by Bahloul et al (2014), which may reduce the number of trials to develop and optimize the SEDDS with desired drug release and satisfactory pharmacokinetic parameters (Bahloul et al, 2014(Bahloul et al, , 2015.…”
Section: Introductionmentioning
confidence: 99%
“…But, formulation development by the two methods is subjected to a large number of experiments. Recently a HLB coupled to response surface methodology (RSM) approach is developed by Bahloul et al (2014), which may reduce the number of trials to develop and optimize the SEDDS with desired drug release and satisfactory pharmacokinetic parameters (Bahloul et al, 2014(Bahloul et al, , 2015.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, we can maintain sink conditions in octanol phase with a low volume of organic solvent. Finally, fenofibrate is soluble in supercritical CO 2 (Chen et al, 2010) and this API is often used in the literature as a model molecule for all processes involving the use of supercritical CO 2 (Dalvi et al, 2013;Hiendrawan et al, 2014;Sanganwar and Gupta, 2008) and for processes that attempt to increase the aqueous solubility of a compound by self-emulsification in a lipid-based formulation (Bahloul et al, 2014;Devraj et al, 2013;Griffin et al, 2014;Mu et al, 2013) or by any other techniques (Dong et al, 2014;Kalivoda et al, 2012;Niu et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…This concept is very useful because it reduces the number of required experiments and makes the search process fast and effective. The use of the statistical methods involved in DoE is now well established in the pharmaceutical industry and it is recommended that it be applied to the development of any process (Bahloul et al, 2014;Brion et al, 2009). In the present study, a screening design was firstly performed in order to identify the critical factors affecting the DoE response.…”
Section: Introductionmentioning
confidence: 99%
“…Experiments were run in random order to increase the predictability of the model. Optimisation was performed using a desirability function to obtain the levels of X1, X2 and X3, which minimised (Y1) and (Y3) and maximised (Y2) [16][17][18][19][20][21]. The quadratic model generated by design is as follows:…”
Section: Experimental Designmentioning
confidence: 99%