Synthesis and characterization of glycerol-adipic acid hyperbranched polyesters

• Published in: Polymer (Guilford) 2014-09, Vol.55 (20), p.5065-5072
• Main Authors: Zhang, Tracy, Howell, Bob A., Dumitrascu, Adina, Martin, Steven J., Smith, Patrick B.
• Format: Article
• Language: English
• Subjects: Adipic acid; Biobased; Chromatography; Conditional probability; Glycerols; Hyperbranched polyester; Mathematical models; Molecular weight; NMR spectroscopy; Nuclear magnetic resonance; Polyester resins
• ISSN: 0032-3861; 1873-2291
• DOI: 10.1016/j.polymer.2014.08.036

The structure and molecular weight of the hyperbranched polyesterification of adipic acid and glycerol were characterized by 13C NMR spectroscopy and size-exclusion chromatography as a function of reaction time and reaction stoichiometry. The glycerol substitution patterns and the extent of reaction of both glycerol and adipic acid were determined by NMR. The glycerol species concentrations determined by NMR were used with a Macosko–Miller conditional probability model to predict the hyperbranched polyester weight-average molecular weight. The model accommodated the difference in primary and secondary –OH reactivity and any substituent effects to glycerol –OH reactivity. In all cases, the predicted weight-average molecular weights were in excellent agreement with the absolute molecular weights determined by size-exclusion chromatography with light scattering detection. [Display omitted] •Hyperbranched polyesters from glycerol and adipic acid were fully characterized by NMR and SEC.•The hyperbranched polyesters were modeled using a conditional probability model.•The model accurately predicted Mw as a function of copolymer stoichiometry and extent of reaction.•The model accommodated the difference in primary and secondary –OH reactivity.