Optimization of the enzymatic saccharification process condition of the enzymatic pretreated sawdust

The saccharification of laccase-pretreated sawdust was optimized using one-factor-at-a-time (OFAT) and response surface methodology (RSM). OFAT was used to investigate four (4) important parameters and it showed that the enzyme pretreated sawdust was best saccharified at the following conditions: ce...

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Main Authors: Rashid, Shah Samiur, Hashabra, Amani M., Makky, Essam A., Aizi Nor Mazila, Ramli, Jalal, K. C. A., Sarkar, Shaheen M.
Format: Conference or Workshop Item
Language:English
English
Published: Universiti Malaysia Pahang 2018
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Online Access:http://umpir.ump.edu.my/id/eprint/24515/1/53.%20Optimization%20of%20the%20Enzymatic%20Saccharification%20Process%20Condition.pdf
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spelling my.ump.umpir.245152019-10-14T06:34:11Z http://umpir.ump.edu.my/id/eprint/24515/ Optimization of the enzymatic saccharification process condition of the enzymatic pretreated sawdust Rashid, Shah Samiur Hashabra, Amani M. Makky, Essam A. Aizi Nor Mazila, Ramli Jalal, K. C. A. Sarkar, Shaheen M. Q Science (General) The saccharification of laccase-pretreated sawdust was optimized using one-factor-at-a-time (OFAT) and response surface methodology (RSM). OFAT was used to investigate four (4) important parameters and it showed that the enzyme pretreated sawdust was best saccharified at the following conditions: cellulase concentration of 30 IU/g of sawdust, substrate concentration of 5.0% w/v, 50 °C, saccharification time of 36 h, and pH 5 where higher yield of sugar was obtained. Based on the OFAT result and previous studies three parameters such as saccharification period, pH and temperature were further optimized statistically using FCCCD (face centered central composite design) of the RSM. The ANOVA (Analysis of Variance) results from the RSM study explained significant probability of interaction of the studied parameters on the saccharification conditions (p<0.05). The model F-value (160.56) and p-value (<0.0001) implies significance of the studied RSM model. The developed model from RSM study was further validated. Therefore, the optimal saccharification condition was obtained using 5% of the laccase-pretreated sawdust, cellulase enzyme concentration of 30 IU/g, pH 5 at 50°C which yielded a maximum reducing sugar of 4.5 mg/ml after 36 h of saccharification. Universiti Malaysia Pahang 2018-11 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24515/1/53.%20Optimization%20of%20the%20Enzymatic%20Saccharification%20Process%20Condition.pdf pdf en http://umpir.ump.edu.my/id/eprint/24515/2/53.1%20Optimization%20of%20the%20Enzymatic%20Saccharification%20Process%20Condition.pdf Rashid, Shah Samiur and Hashabra, Amani M. and Makky, Essam A. and Aizi Nor Mazila, Ramli and Jalal, K. C. A. and Sarkar, Shaheen M. (2018) Optimization of the enzymatic saccharification process condition of the enzymatic pretreated sawdust. In: Applied Mathematics And Applied Science In Engineering International Conference (APPEMSE 2018), 18 -20 Disember 2017 , Langkawi Island, Malaysia. pp. 1-6.. (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic Q Science (General)
spellingShingle Q Science (General)
Rashid, Shah Samiur
Hashabra, Amani M.
Makky, Essam A.
Aizi Nor Mazila, Ramli
Jalal, K. C. A.
Sarkar, Shaheen M.
Optimization of the enzymatic saccharification process condition of the enzymatic pretreated sawdust
description The saccharification of laccase-pretreated sawdust was optimized using one-factor-at-a-time (OFAT) and response surface methodology (RSM). OFAT was used to investigate four (4) important parameters and it showed that the enzyme pretreated sawdust was best saccharified at the following conditions: cellulase concentration of 30 IU/g of sawdust, substrate concentration of 5.0% w/v, 50 °C, saccharification time of 36 h, and pH 5 where higher yield of sugar was obtained. Based on the OFAT result and previous studies three parameters such as saccharification period, pH and temperature were further optimized statistically using FCCCD (face centered central composite design) of the RSM. The ANOVA (Analysis of Variance) results from the RSM study explained significant probability of interaction of the studied parameters on the saccharification conditions (p<0.05). The model F-value (160.56) and p-value (<0.0001) implies significance of the studied RSM model. The developed model from RSM study was further validated. Therefore, the optimal saccharification condition was obtained using 5% of the laccase-pretreated sawdust, cellulase enzyme concentration of 30 IU/g, pH 5 at 50°C which yielded a maximum reducing sugar of 4.5 mg/ml after 36 h of saccharification.
format Conference or Workshop Item
author Rashid, Shah Samiur
Hashabra, Amani M.
Makky, Essam A.
Aizi Nor Mazila, Ramli
Jalal, K. C. A.
Sarkar, Shaheen M.
author_facet Rashid, Shah Samiur
Hashabra, Amani M.
Makky, Essam A.
Aizi Nor Mazila, Ramli
Jalal, K. C. A.
Sarkar, Shaheen M.
author_sort Rashid, Shah Samiur
title Optimization of the enzymatic saccharification process condition of the enzymatic pretreated sawdust
title_short Optimization of the enzymatic saccharification process condition of the enzymatic pretreated sawdust
title_full Optimization of the enzymatic saccharification process condition of the enzymatic pretreated sawdust
title_fullStr Optimization of the enzymatic saccharification process condition of the enzymatic pretreated sawdust
title_full_unstemmed Optimization of the enzymatic saccharification process condition of the enzymatic pretreated sawdust
title_sort optimization of the enzymatic saccharification process condition of the enzymatic pretreated sawdust
publisher Universiti Malaysia Pahang
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/24515/1/53.%20Optimization%20of%20the%20Enzymatic%20Saccharification%20Process%20Condition.pdf
http://umpir.ump.edu.my/id/eprint/24515/2/53.1%20Optimization%20of%20the%20Enzymatic%20Saccharification%20Process%20Condition.pdf
http://umpir.ump.edu.my/id/eprint/24515/
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score 13.160551