Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone

This work emphasizes on reactor scale synthesis of polycaprolactone using e-caprolactone as monomer and Candida antarctica lipase B enzyme as catalyst. The bio-polymerization was performed in 2 L thermostatic reactor by the conventional method with constant stirring. Optimisation of process paramete...

Full description

Saved in:
Bibliographic Details
Main Authors: Pakalapati, Harshini, Balaji, Anand B., Senthil, K. Arumugasamy, Khalid, Mohammad *
Format: Article
Published: Springer Verlag 2017
Subjects:
Online Access:http://eprints.sunway.edu.my/984/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.sunway.eprints.984
record_format eprints
spelling my.sunway.eprints.9842019-04-25T07:46:54Z http://eprints.sunway.edu.my/984/ Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone Pakalapati, Harshini Balaji, Anand B. Senthil, K. Arumugasamy Khalid, Mohammad * Q Science (General) This work emphasizes on reactor scale synthesis of polycaprolactone using e-caprolactone as monomer and Candida antarctica lipase B enzyme as catalyst. The bio-polymerization was performed in 2 L thermostatic reactor by the conventional method with constant stirring. Optimisation of process parameters such as reactor temperature, reaction time, and mixing speed was carried out using response surface methodology based on D-optimal design. Molecular weight of the bio-polymer was chosen as the response for optimization, which is later characterised by gel permeation chromatography. The results show good agreement between predicted values and actual values obtained through the experiments. Springer Verlag 2017-10-09 Article PeerReviewed Pakalapati, Harshini and Balaji, Anand B. and Senthil, K. Arumugasamy and Khalid, Mohammad * (2017) Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone. Polymer Bulletin. ISSN 0170-0839
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
topic Q Science (General)
spellingShingle Q Science (General)
Pakalapati, Harshini
Balaji, Anand B.
Senthil, K. Arumugasamy
Khalid, Mohammad *
Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone
description This work emphasizes on reactor scale synthesis of polycaprolactone using e-caprolactone as monomer and Candida antarctica lipase B enzyme as catalyst. The bio-polymerization was performed in 2 L thermostatic reactor by the conventional method with constant stirring. Optimisation of process parameters such as reactor temperature, reaction time, and mixing speed was carried out using response surface methodology based on D-optimal design. Molecular weight of the bio-polymer was chosen as the response for optimization, which is later characterised by gel permeation chromatography. The results show good agreement between predicted values and actual values obtained through the experiments.
format Article
author Pakalapati, Harshini
Balaji, Anand B.
Senthil, K. Arumugasamy
Khalid, Mohammad *
author_facet Pakalapati, Harshini
Balaji, Anand B.
Senthil, K. Arumugasamy
Khalid, Mohammad *
author_sort Pakalapati, Harshini
title Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone
title_short Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone
title_full Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone
title_fullStr Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone
title_full_unstemmed Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone
title_sort optimisation of process parameters using d-optimal for enzymatic synthesis of polycaprolactone
publisher Springer Verlag
publishDate 2017
url http://eprints.sunway.edu.my/984/
_version_ 1644324469528854528
score 13.211869