Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology. Issue 12 (29th November 2018)

• Record Type: Journal Article
• Authors: Pakalapati, Harshini; Arumugasamy, Senthil Kumar; Jewaratnam, Jegalakshimi; Wong, Yong Jie; Khalid, Mohammad
• Is Part Of: Biopolymers. Volume 109:Issue 12(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-11-29
• Subjects: Candida Antarctica lipase B -- design of experiment -- D‐optimal method -- enzymatic polymerization -- optimization -- polycaprolactone; Biopolymers -- Periodicals; Peptides -- Periodicals; Spectrum analysis -- Periodicals; 572.33
• DOI: 10.1002/bip.23240
• Languages: English
• ISSNs: 0006-3525

Abstract

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. Abstract :