Research Article | Volume: 3, Issue: 7, July, 2013

Effects of components on and predictive modeling of microemulsion phase behavior in nonionic systems

Prapaporn Boonme Chalida Boonthongchuay Thanaporn Amnuaikit and WibulWongpoowarak   

Open Access   

Published:  Jul 30, 2013

DOI: 10.7324/JAPS.2013.3701
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.


Keyword:     Cosolvent Microemulsion Phase behavior Predictive


Citation:

Prapaporn Boonme, Chalida Boonthongchuay, Thanaporn Amnuaikit and Wibul Wongpoowarak., Effects of components on and predictive modeling of microemulsion phase behavior in nonionic systems. J App Pharm Sci, 2013; 3 (07): 001-006.

Copyright:The Author(s). This is an open access article distributed under the Creative Commons Attribution Non-Commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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