| Abstract
| - A new prediction model for the autocatalytic random hydrolysis of aliphatic polyesters isproposed. The model predicts changes in the number- and weight-average degrees of polymerization.The model enables to avoid certain errors liable to occur in the estimation of hydrolysis with only thenumber-average molecular weight. The prediction model successfully interpreted the hydrolysis data ofsome aliphatic polyesters, such as poly(p-dioxanone), poly(β-propiolactone), poly(l-lactic acid), etc.
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