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- Title
APPLICATION OF PROBABILITYBASEDMULTI - OBJECTIVE OPTIMIZATIONINTHE PREPARATION OF DRUGENCAPSULATION WITH A DESIGNEDEXPERIMENT.
- Authors
Jie Yu; Maosheng Zheng
- Abstract
Introduction/purpose: In this paper, probability based multi - objective optimization (PMOO) is employed to objectively study the optimization problems of the drug encapsulation of water-soluble chitosan (WSC) / poly - gama - glutamic acid (γ-PGA) - tanshinone IIA (TA) with a response surface design and glycerosome - triptolide with an orthogonal experimental design. Methods: In PMOO, a concept of preferable probability has been introduced to describe a preference degree of the performance utility. Each beneficial and unbeneficial utility index contributes a partial preferable probability in a linear manner, positively and negatively, respectively and all the performance utility indicators are simultaneously and equally treated. The total preferable probability of a candidate is the product of all partial preferable probabilities, which thus transfers a multi- objective problem into a single-objective one. Results: 1. The optimal encapsulation of WSC /γ-PGA - TA is for WSCof 5.755 mg.ml-1, TA of 1.0275 mg.ml-1, when the ratio of TA to the carrier material is 1: 4.9, and the reaction time is 1.302h. 2. The optimal preparation conditions of glycerosomes - triptolide are a glycerol concentration of 20%, the phospholipid to cholesterol mass ratio of 30:1 and the phospholipid to triptolide mass ratio of 5:1. C 8 onclusion: The results show the applicability of PMOO in the optimization of encapsulation composites with designed tests.
- Subjects
TRIPTOLIDE; EXPERIMENTAL design; CHITOSAN
- Publication
Military Technical Courier / Vojnotehnicki Glasnik, 2022, Vol 70, Issue 4, p924
- ISSN
0042-8469
- Publication type
Article
- DOI
10.5937/vojtehg70-38011