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

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 re...

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Bibliographic Details
Published in:Biopolymers
Main Authors: Pakalapati, Harshini, Arumugasamy, Senthil Kumar, Jewaratnam, Jegalakshimi, Wong, Yong Jie, Khalid, Mohammad
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2018
Subjects:
Antarc*
Antarctica
Online Access:http://dx.doi.org/10.1002/bip.23240
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https://onlinelibrary.wiley.com/doi/pdf/10.1002/bip.23240
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/bip.23240
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Summary: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.

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