Tabriz University of Medical Sciences About    Newsletter    Contact Us    Create Account    Log in  
Advanced Pharmaceutical Bulletin
ISSN: 2228-5881      eISSN: 2251-7308  
Export citation
Reference Manager

Cite by
Google Scholar

Article History
Submitted: 21 Oct 2014
Revised: 07 Nov 2014
First published online: 05 Mar 2015

Article Access Statistics
Abstract Page Views: 344
PDF Downloads: 175
Full Text Views: 0

Adv Pharm Bull. 2015;5(1):51-56 doi: 10.5681/apb.2015.007
PMID:25789219        PMCID:PMC4352223

Synthesis of PCEC Copolymers with Controlled Molecular Weight Using Full Factorial Methodology

Original Research

Leila Barghi 1,2, Davoud Asgari 1, Jaleh Barar 1,3, Hadi Valizadeh 1,4 *

1 Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
2 Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
3 Research Center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz, Iran.
4 Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

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.

First name  
Last name  
Email address  
Security code

This Article

Google Scholar
Articles by Barghi L
Articles by Asgari D
Articles by Barar J
Articles by Valizadeh H

Articles by Barghi L
Articles by Asgari D
Articles by Barar J
Articles by Valizadeh H

Similar articles in PubMed

Share this article!

Press Manuscript Online. Powered by MAADRAYAN