Leila Barghi1, Davoud Asgari2, Jaleh Barar3, Hadi Valizadeh4. 1. Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. ; Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran. 2. Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. 3. Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. ; Research Center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz, Iran. 4. Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. ; Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Abstract
PURPOSE: Polycaprolactone (PCL) is a biodegradable polyester and has attracted attention as a suitable carrier for development of controlled drug delivery due to its non-toxicity and biocompatibility. It has been reported that the biodegradability of PCL can be enhanced by copolymerization with PEG. Molecular weight (Mw) and CL block lengths optimization in a series of synthesized PCEC copolymers was the main purpose of this study. METHODS: The composition of copolymers was designed using full factorial methodology. Molecular weight of used PEG (4 levels) and weight ratio of epsilon-caprolactone/PEG (3 levels) were selected as independent variables. The PCEC copolymers were synthesized by ring opening polymerization. Formation of copolymers was confirmed by FT-IR spectroscopy as well as H-NMR. The Mn of PCEC copolymers was calculated from HNMR spectra. The thermal behavior of copolymers was characterized on differential scanning calorimeter. RESULTS: Molecular weight of twelve synthesized copolymers was ranged from 1782 to 9264. In order to evaluate the effect of selected variables on the copolymers composition and Mw, a mathematical model for each response parameter with p-value less than 0.001were obtained. Average percent error for prediction of total Mn of copolymers and Mn of CL blocks were 13.81% and 14.88% respectively. CONCLUSION: In conclusion, the proposed model is significantly valid due to obtained low percent error in Mn prediction of test sets.
PURPOSE:Polycaprolactone (PCL) is a biodegradable polyester and has attracted attention as a suitable carrier for development of controlled drug delivery due to its non-toxicity and biocompatibility. It has been reported that the biodegradability of PCL can be enhanced by copolymerization with PEG. Molecular weight (Mw) and CL block lengths optimization in a series of synthesized PCEC copolymers was the main purpose of this study. METHODS: The composition of copolymers was designed using full factorial methodology. Molecular weight of used PEG (4 levels) and weight ratio of epsilon-caprolactone/PEG (3 levels) were selected as independent variables. The PCEC copolymers were synthesized by ring opening polymerization. Formation of copolymers was confirmed by FT-IR spectroscopy as well as H-NMR. The Mn of PCEC copolymers was calculated from HNMR spectra. The thermal behavior of copolymers was characterized on differential scanning calorimeter. RESULTS: Molecular weight of twelve synthesized copolymers was ranged from 1782 to 9264. In order to evaluate the effect of selected variables on the copolymers composition and Mw, a mathematical model for each response parameter with p-value less than 0.001were obtained. Average percent error for prediction of total Mn of copolymers and Mn of CL blocks were 13.81% and 14.88% respectively. CONCLUSION: In conclusion, the proposed model is significantly valid due to obtained low percent error in Mn prediction of test sets.
Entities:
Keywords:
Copolymer; Full factorial methodology; Molecular weight; PCEC
Authors: Cai Bing Liu; Chang Yang Gong; Mei Juan Huang; Ji Wei Wang; Yi Feng Pan; Yang De Zhang; Guo Zheng Li; Ma Ling Gou; Ke Wang; Ming Jing Tu; Yu Quan Wei; Zhi Yong Qian Journal: J Biomed Mater Res B Appl Biomater Date: 2008-01 Impact factor: 3.368