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

Pakalapati Harshini | Zendy; Arumugasamy Senthil Kumar | Zendy; Jewaratnam Jegalakshimi | Zendy; Wong Yong Jie | Zendy; Khalid Mohammad | Zendy

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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

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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