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:
Online Access:http://irep.iium.edu.my/17475/
http://irep.iium.edu.my/17475/1/AJBAS_Rasha_Jan-2012.pdf
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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
building IIUM Repository
collection Online Access
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.
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spelling iium-174752024-05-06T06:34:08Z 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/
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
title 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_short 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
topic TD172 Environmental pollution
TP155 Chemical engineering
TP248.13 Biotechnology
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