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The application of artificial neural networks in the prediction of microemulsion phase boundaries in PEG-8 caprylic/capric glycerides based systems

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2008
Authors
Đekić, Ljiljana
Ibrić, Svetlana
Primorac, Marija
Article (Published version)
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Abstract
The objective of this study was to develop artificial neural network (ANN) model suitable to predict successfully the borders of the microemulsion region in the quaternary system PEG-8 caprylic/capric glycerides (Labrasol (R)/cosurfactant/isopropyl myristate/water, in order to minimise experimental effort. In our preliminary investigations of phase behaviour, two cosurfactants were used, PEG-40 hydrogenated castor oil (Cremophor (R) RH 40) and polyglyceryl-6 isostearate (Plurol Isostearique (R)). Microemulsion existance area in pseudo-ternary phase diagrams was determined using titration method at constant: (a) oil-to-water ratio (alpha = 50%, w/w); (b) surfactant-to-cosurfactant ratio (Km) 4:6;
Keywords:
artificial neural networks / phase behaviour / microemulsions / Labrasol (R) / Cremophor (R) RH 40 / Plural Isostearique (R)
Source:
International Journal of Pharmaceutics, 2008, 361, 1-2, 41-46
Publisher:
  • Elsevier Science BV, Amsterdam
Projects:
  • Sinteza, kvantitativni odnosi između strukture/osobina i aktivnosti, fizičko-hemijska karakterizacija i analiza farmakološki aktivnih supstanci (RS-142071)

DOI: 10.1016/j.ijpharm.2008.05.002

ISSN: 0378-5173

PubMed: 18571348

WoS: 000258803600007

Scopus: 2-s2.0-48049087191
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URI
http://farfar.pharmacy.bg.ac.rs/handle/123456789/1112
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Institution
Pharmacy

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