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

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ID: 85540
2018
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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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pakalapati2018parametricbiopolymers Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Harshini Pakalapati, Senthil Kumar Arumugasamy, Jegalakshimi Jewaratnam, Yong Jie Wong, Mohammad Khalid
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Journal biopolymers
Year 2018
DOI
10.1002/bip.23240
URL
Keywords
design of experiment optimization polycaprolactone enzymatic polymerization candida antarctica lipase b d-optimal method

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