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 problems of drug encapsulation water-soluble chitosan (WSC) / poly gama glutamic acid ( g -PGA) tanshinone IIA (TA) with a response surface design and glycerosome triptolide an orthogonal experimental design. Methods: PMOO, concept preferable has been introduced describe preference degree performance utility. Each beneficial unbeneficial utility index contributes partial in linear manner, positively negatively, respectively all indicators are simultaneously equally treated. The total candidate product probabilities, which thus transfers multi-objective problem into single-objective one. Results: 1. optimal WSC g-PGA TA for WSCof 5.755 mg.ml-1 , 1.0275 when ratio carrier material 1: 4.9, reaction time 1.302h. 2. preparation conditions glycerosomes glycerol concentration 20%, phospholipid cholesterol mass 30:1 5:1. Conclusion: results show applicability PMOO composites designed tests.