application of probability based multi: objective optimization in the preparation of drug encapsulation with a designed experiment

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 ( g -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 / g-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. conclusion: the results show the applicability of pmoo in the optimization of encapsulation composites with designed tests.