Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology

Pakalapati H 1 , Arumugasamy SK 1 , Jewaratnam J 2 , Wong YJ 2 , Khalid M 3

Affiliations 

  • 1 Department of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham Malaysia Campus, Semenyih, Selangor, Malaysia
  • 2 Department of Chemical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
  • 3 Graphene & Advanced 2D Materials Group (GAMRG), School of Science & Technology, Sunway University, Subang Jaya, Selangor, Malaysia
Biopolymers, 2018 Dec;109(12):e23240.
PMID: 30489632 DOI: 10.1002/bip.23240

Abstract

A statistical approach with D-optimal design was used to optimize the process parameters for polycaprolactone (PCL) synthesis. The variables selected were temperature (50°C-110°C), time (1-7 h), mixing speed (50-500 rpm) and monomer/solvent ratio (1:1-1:6). Molecular weight was chosen as response and was determined using matrix-assisted laser desorption/ionization time of flight (MALDI TOF). Using the D-optimal method in design of experiments, the interactions between parameters and responses were analysed and validated. The results show a good agreement with a minimum error between the actual and predicted values.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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