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

Biopolymers. 2018 Dec;109(12):e23240. doi: 10.1002/bip.23240. Epub 2018 Nov 29.

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.

Keywords: Candida Antarctica lipase B; D-optimal method; design of experiment; enzymatic polymerization; optimization; polycaprolactone.

MeSH terms

  • Algorithms
  • Biocatalysis
  • Candida / enzymology*
  • Fungal Proteins / metabolism*
  • Kinetics
  • Lipase / metabolism*
  • Models, Chemical
  • Molecular Weight
  • Polyesters / chemistry
  • Polyesters / metabolism*
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
  • Temperature
  • Time Factors

Substances

  • Fungal Proteins
  • Polyesters
  • polycaprolactone
  • Lipase
  • lipase B, Candida antarctica