Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology
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 an...
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my.um.eprints.210492019-04-24T03:46:34Z http://eprints.um.edu.my/21049/ Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology Pakalapati, Harshini Arumugasamy, Senthil Kumar Jewaratnam, Jegalakshimi Wong, Yong Jie Khalid, Mohammad TP Chemical technology 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. Wiley 2018 Article PeerReviewed Pakalapati, Harshini and Arumugasamy, Senthil Kumar and Jewaratnam, Jegalakshimi and Wong, Yong Jie and Khalid, Mohammad (2018) Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology. Biopolymers, 109 (12). e23240. ISSN 0006-3525 https://doi.org/10.1002/bip.23240 doi:10.1002/bip.23240 |
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TP Chemical technology Pakalapati, Harshini Arumugasamy, Senthil Kumar Jewaratnam, Jegalakshimi Wong, Yong Jie Khalid, Mohammad Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology |
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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. |
format |
Article |
author |
Pakalapati, Harshini Arumugasamy, Senthil Kumar Jewaratnam, Jegalakshimi Wong, Yong Jie Khalid, Mohammad |
author_facet |
Pakalapati, Harshini Arumugasamy, Senthil Kumar Jewaratnam, Jegalakshimi Wong, Yong Jie Khalid, Mohammad |
author_sort |
Pakalapati, Harshini |
title |
Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology |
title_short |
Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology |
title_full |
Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology |
title_fullStr |
Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology |
title_full_unstemmed |
Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology |
title_sort |
parametric optimization of polycaprolactone synthesis catalysed by candida antarctica lipase b using response surface methodology |
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Wiley |
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2018 |
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http://eprints.um.edu.my/21049/ https://doi.org/10.1002/bip.23240 |
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