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Abstract
Due to its very good biocompatibility, poly(glycerol sebacate) – PGS – is probably one of the most interesting synthetic biomaterials. This material passes several in vitro and in vivo tests with the use of quite a wide range of cells and animals. Nowadays, PGS is known as a good material for tissue engineering, drug delivery systems, surgical sealants, and other biomedical uses. Unfortunately, prepolymer synthesis and its subsequent cross-linking are usually time-consuming processes carried out at high temperatures, which is not beneficial from an economic and ecological point of view. This work describes a study of PGS prepolymer synthesis with the use of an acid catalyst in the Fischer mechanism. Mathematical methods were used to optimize and develop a fast and stable synthesis method, which allowed the obtaining of prepolymer in a short time without risk of gelation in the reactor. The proposed method could be easily used in industry.
Supplementary materials
Title
Supporting Information for The smart way of simultaneous scaling up and optimizing the synthesis of PGS for further rapid thermal crosslinking with the use of response surface methodology
Description
Table of Contents:
1. General information
2. First model data
Figure S 1 Pareto chart, first model before excluding insignificant variables
Figure S 2 Pareto chart, first model after excluding insignificant variables
Figure S 3 Histogram of Residuals for Saphiro-Wilk Test, first model
Table S 1 ANOVA, first model after excluding insignificant
Table S 2 Estimate effects and regression coefficients, first model
3. Second model data
Figure S 4 Pareto chart, second model before excluding insignificant variables
Figure S 5 Pareto chart, second model after excluding insignificant variables
Figure S 6 Histogram of Residuals for Saphiro-Wilk Test, second model
Table S 3 ANOVA, first model after excluding insignificant variables
Table S 4 Estimate effects and regression coefficients, first model
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