4.7 Article

Enzymatic Polycondensation of 1,6-Hexanediol and Diethyl Adipate: A Statistical Approach Predicting the Key-Parameters in Solution and in Bulk

Journal

POLYMERS
Volume 12, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/polym12091907

Keywords

enzymatic polymerization; polycondensation; lipase; polyesters; response surface methodology; recyclability

Funding

  1. FWV ALPO Interreg Grant
  2. European Regional Development Fund (FEDER)
  3. Chevreul Institute (FR 2638), Ministere de l'Enseignement Superieur, de la Recherche et de l'Innovation, Region Hauts de France

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Among the various catalysts that can be used for polycondensation reactions, enzymes have been gaining interest for three decades, offering a green and eco-friendly platform towards the sustainable design of renewable polyesters. However, limitations imposed by their delicate nature, render them less addressed. As a case study, we compare herein bulk and solution polycondensation of 1,6-hexanediol and diethyl adipate catalyzed by an immobilized lipase from Candida antarctica. The influence of various parameters including time, temperature, enzyme loading, and vacuum was assessed in the frame of a two-step polymerization with the help of response surface methodology, a statistical technique that investigates relations between input and output variables. Results in solution (diphenyl ether) and bulk conditions showed that a two-hour reaction time was enough to allow adequate oligomer growth for the first step conducted under atmospheric pressure at 100 degrees C. The number-average molecular weight (M-n) achieved varied between 5000 and 12,000 g center dot mol(-1)after a 24 h reaction and up to 18,500 g center dot mol(-1)after 48 h. The statistical analysis showed that vacuum was the most influential factor affecting theM(n)in diphenyl ether. In sharp contrast, enzyme loading was found to be the most influential parameter in bulk conditions. Recyclability in bulk conditions showed a constantM(n)of the polyester over three cycles, while a 17% decrease was noticed in solution. The following work finally introduced a statistical approach that can adequately predict theM(n)of poly(hexylene adipate) based on the choice of parameter levels, providing a handy tool in the synthesis of polyesters where the control of molecular weight is of importance.

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