Statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation

Cellulase obtained from the fermentation of sewage treatment plant sludge (STP) by Trichoderma-reesei RUT C-30 was covalently immobilised on functionalised multi-wall carbon nanotubes. Statistical optimisation using the Plackett–Burman design method was implemented to identify parameters with signif...

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Main Authors:	Al-Khatib, Ma An Fahmi Rashid, Alam, Md Zahangir, Mohammed, Rasha
Format:	Article
Language:	English
Published:	INSINET PUBL 2012
Subjects:	TD172 Environmental pollution TP155 Chemical engineering TP248.13 Biotechnology
Online Access:	http://irep.iium.edu.my/17475/ http://irep.iium.edu.my/17475/ http://irep.iium.edu.my/17475/1/AJBAS_Rasha_Jan-2012.pdf

id	iium-17475
recordtype	eprints
spelling	iium-174752017-08-10T01:51:44Z http://irep.iium.edu.my/17475/ Statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation Al-Khatib, Ma An Fahmi Rashid Alam, Md Zahangir Mohammed, Rasha TD172 Environmental pollution TP155 Chemical engineering TP248.13 Biotechnology Cellulase obtained from the fermentation of sewage treatment plant sludge (STP) by Trichoderma-reesei RUT C-30 was covalently immobilised on functionalised multi-wall carbon nanotubes. Statistical optimisation using the Plackett–Burman design method was implemented to identify parameters with significant effects on the process of immobilisation. The results obtained from this Plackett–Burman design show that three parameters have a significant effect on immobilisation: pH, temperature, and N-ethyl-N-(3-dimethyl aminopropyl) carbodiimide hydrochloride (EDC) concentration. Based on our Plackett-Burman design results, these parameters were further optimised using a face-centred central composite design. The resulting optimum conditions for cellulase immobilisation, as determined by face-centred central composite design, were pH 4.5, 30°C, and 1 mL of 10mg/mL EDC. The amount of immobilised cellulase was approximately 98% using these optimum conditions. The resulting MWCNT-cellulase composite was further characterized by FTIR and SEM. The FTIR spectrum of MWCNT-cellulase composite showed an amide group peak (O = C-NH) corresponding to cellulase enzyme, which confirms that immobilisation took place. INSINET PUBL 2012-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/17475/1/AJBAS_Rasha_Jan-2012.pdf Al-Khatib, Ma An Fahmi Rashid and Alam, Md Zahangir and Mohammed, Rasha (2012) Statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation. Australian Journal of Basic and Applied Sciences, 6 (1). pp. 30-38. ISSN 1991-8178 http://www.insipub.com/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TD172 Environmental pollution TP155 Chemical engineering TP248.13 Biotechnology
spellingShingle	TD172 Environmental pollution TP155 Chemical engineering TP248.13 Biotechnology Al-Khatib, Ma An Fahmi Rashid Alam, Md Zahangir Mohammed, Rasha Statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation
description	Cellulase obtained from the fermentation of sewage treatment plant sludge (STP) by Trichoderma-reesei RUT C-30 was covalently immobilised on functionalised multi-wall carbon nanotubes. Statistical optimisation using the Plackett–Burman design method was implemented to identify parameters with significant effects on the process of immobilisation. The results obtained from this Plackett–Burman design show that three parameters have a significant effect on immobilisation: pH, temperature, and N-ethyl-N-(3-dimethyl aminopropyl) carbodiimide hydrochloride (EDC) concentration. Based on our Plackett-Burman design results, these parameters were further optimised using a face-centred central composite design. The resulting optimum conditions for cellulase immobilisation, as determined by face-centred central composite design, were pH 4.5, 30°C, and 1 mL of 10mg/mL EDC. The amount of immobilised cellulase was approximately 98% using these optimum conditions. The resulting MWCNT-cellulase composite was further characterized by FTIR and SEM. The FTIR spectrum of MWCNT-cellulase composite showed an amide group peak (O = C-NH) corresponding to cellulase enzyme, which confirms that immobilisation took place.
format	Article
author	Al-Khatib, Ma An Fahmi Rashid Alam, Md Zahangir Mohammed, Rasha
author_facet	Al-Khatib, Ma An Fahmi Rashid Alam, Md Zahangir Mohammed, Rasha
author_sort	Al-Khatib, Ma An Fahmi Rashid
title	Statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation
title_short	Statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation
title_full	Statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation
title_fullStr	Statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation
title_full_unstemmed	Statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation
title_sort	statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation
publisher	INSINET PUBL
publishDate	2012
url	http://irep.iium.edu.my/17475/ http://irep.iium.edu.my/17475/ http://irep.iium.edu.my/17475/1/AJBAS_Rasha_Jan-2012.pdf
first_indexed	2023-09-18T20:26:23Z
last_indexed	2023-09-18T20:26:23Z
_version_	1777408444711567360

Statistical modelling optimisation of cellulase enzyme immobilisation on functionalised multi-walled carbon nanotubes for empty fruit bunches degradation

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