Effects of components on and predictive modeling of microemulsion phase behavior in nonionic systems.
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Date
2013-07
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Abstract
This study aimed to investigate phase behaviors, to study effects of cosolvent addition on size of microemulsion
regions and to propose modified logistic regression which could describe microemulsion regions in nonionic
systems. The systems composed of rice bran oil (RBO) or isopropyl palmitate (IPP), various ratios of sorbitan
monooleate (SMO) and polyoxyethylene 20 sorbitan monooleate (PSMO) mixtures, water and isopropyl alcohol
(IPA) or propylene glycol (PG) were studied for their microemulsion regions obtained on the phase diagrams.
Concept of modified logistic regression was used to predict probability of microemulsion formation and size of
microemulsion regions in the systems. It was found that both oil and cosolvent types affected on microemulsion
formation. A system composed of IPP, 2:1 water:IPA, and 1:1 SMO:PSMO could provide the largest
microemulsion region. However, the purposed modified logistic regression could be used consistently for only
one system of the total four systems due to the faceted shape of microemulsion-zone.
Description
Keywords
Cosolvent, Microemulsion, Phase behavior, Predictive modeling, Modified logistic regression
Citation
Boonme Prapaporn, Boonthongchuay Chalida, Amnuaikit Thanaporn, Wongpoowarak Wibul. Effects of components on and predictive modeling of microemulsion phase behavior in nonionic systems.Journal of Applied Pharmaceutical Science. 2013 July; 3(7): 1-6.