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Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology
Author(s) -
Pakalapati Harshini,
Arumugasamy Senthil Kumar,
Jewaratnam Jegalakshimi,
Wong Yong Jie,
Khalid Mohammad
Publication year - 2018
Publication title -
biopolymers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 125
eISSN - 1097-0282
pISSN - 0006-3525
DOI - 10.1002/bip.23240
Subject(s) - candida antarctica , polycaprolactone , chemistry , response surface methodology , lipase , parametric statistics , desorption , mixing (physics) , solvent , analytical chemistry (journal) , chromatography , polymer , organic chemistry , statistics , adsorption , mathematics , physics , quantum mechanics , enzyme
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.