Optimization of enzymatic saccharification of Chaetomorpha linum biomass for the production of macroalgae-based third generation bioethanol
To evaluate the efficacy of marine macro-algae <em>Chaetomorpha linum</em> as a potential biofuel resource, the effects of the enzymatic treatment conditions on sugar yield were evaluated using a three factor three level Box-Behnken design. The hydrothermally pretreated <em>C. linu...
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| Format: | Article |
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AIMS Press
2016-08-01
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| Series: | AIMS Bioengineering |
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| Online Access: | http://www.aimspress.com/Bioengineering/article/946/fulltext.html |
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| author | Ahmed Slaheddine Masmoudi Ameur Cherif Atef Jaouani Habib Chouchane Raya Genouiz Rim Chatter Mohamed Neifar |
| author_facet | Ahmed Slaheddine Masmoudi Ameur Cherif Atef Jaouani Habib Chouchane Raya Genouiz Rim Chatter Mohamed Neifar |
| author_sort | Ahmed Slaheddine Masmoudi |
| collection | DOAJ |
| description | To evaluate the efficacy of marine macro-algae <em>Chaetomorpha linum</em> as a potential biofuel resource, the effects of the enzymatic treatment conditions on sugar yield were evaluated using a three factor three level Box-Behnken design. The hydrothermally pretreated <em>C. linum</em> biomass was treated with <em>Aspergillus niger</em> cellulase at various liquid to solid ratios (50–100 mL/g), enzyme concentrations (10–60 U/g) and incubations times (4–44 h). Data obtained from the response surface methodology were subjected to the analysis of variance and analyzed using a second order polynomial equation. The fitted model was found to be robust and was used to optimize the sugar yield (%) during enzymatic hydrolysis. The optimum saccharification conditions were: L/S ratio 100 mL/g; enzyme concentration 52 U/g; and time 44 h. Their application led to a maximum sugar yield of 30.2 g/100g dry matter. <em>Saccharomyces cerevisiae</em> fermentation of the algal hydrolysate provided 8.6 g ethanol/100g dry matter. These results showed a promising future of applying <em>C. linum</em> biomass as potential feedstock for third generation bioethanol production. |
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| id | doaj.art-1f6cd79b647349a5b579f7dfe04b3efe |
| institution | Directory Open Access Journal |
| issn | 2375-1495 |
| language | English |
| last_indexed | 2024-12-23T20:29:10Z |
| publishDate | 2016-08-01 |
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| series | AIMS Bioengineering |
| spelling | doaj.art-1f6cd79b647349a5b579f7dfe04b3efe2022-12-21T17:32:17ZengAIMS PressAIMS Bioengineering2375-14952016-08-013340041110.3934/bioeng.2016.3.400bioeng-03-00400Optimization of enzymatic saccharification of Chaetomorpha linum biomass for the production of macroalgae-based third generation bioethanolAhmed Slaheddine Masmoudi0Ameur Cherif1Atef Jaouani2Habib Chouchane3Raya Genouiz4Rim Chatter5Mohamed Neifar6University of Manouba, ISBST, BVBGR-LR11ES31, Biotechpole Sidi Thabet, 2020 Ariana, TunisiaUniversity of Manouba, ISBST, BVBGR-LR11ES31, Biotechpole Sidi Thabet, 2020 Ariana, TunisiaUniversity of Tunis El Manar, FST, LMBA-LR03ES03, Campus Universitaire, 2092 Tunis, TunisiaUniversity of Manouba, ISBST, BVBGR-LR11ES31, Biotechpole Sidi Thabet, 2020 Ariana, TunisiaUniversity of Manouba, ISBST, BVBGR-LR11ES31, Biotechpole Sidi Thabet, 2020 Ariana, TunisiaUnité de Toxines Alimentaire, Institut Pasteur de Tunis, TunisiaUniversity of Manouba, ISBST, BVBGR-LR11ES31, Biotechpole Sidi Thabet, 2020 Ariana, TunisiaTo evaluate the efficacy of marine macro-algae <em>Chaetomorpha linum</em> as a potential biofuel resource, the effects of the enzymatic treatment conditions on sugar yield were evaluated using a three factor three level Box-Behnken design. The hydrothermally pretreated <em>C. linum</em> biomass was treated with <em>Aspergillus niger</em> cellulase at various liquid to solid ratios (50–100 mL/g), enzyme concentrations (10–60 U/g) and incubations times (4–44 h). Data obtained from the response surface methodology were subjected to the analysis of variance and analyzed using a second order polynomial equation. The fitted model was found to be robust and was used to optimize the sugar yield (%) during enzymatic hydrolysis. The optimum saccharification conditions were: L/S ratio 100 mL/g; enzyme concentration 52 U/g; and time 44 h. Their application led to a maximum sugar yield of 30.2 g/100g dry matter. <em>Saccharomyces cerevisiae</em> fermentation of the algal hydrolysate provided 8.6 g ethanol/100g dry matter. These results showed a promising future of applying <em>C. linum</em> biomass as potential feedstock for third generation bioethanol production.http://www.aimspress.com/Bioengineering/article/946/fulltext.htmlenzyme technologycellulasebioconversionmodellingoptimization |
| spellingShingle | Ahmed Slaheddine Masmoudi Ameur Cherif Atef Jaouani Habib Chouchane Raya Genouiz Rim Chatter Mohamed Neifar Optimization of enzymatic saccharification of Chaetomorpha linum biomass for the production of macroalgae-based third generation bioethanol AIMS Bioengineering enzyme technology cellulase bioconversion modelling optimization |
| title | Optimization of enzymatic saccharification of Chaetomorpha linum biomass for the production of macroalgae-based third generation bioethanol |
| title_full | Optimization of enzymatic saccharification of Chaetomorpha linum biomass for the production of macroalgae-based third generation bioethanol |
| title_fullStr | Optimization of enzymatic saccharification of Chaetomorpha linum biomass for the production of macroalgae-based third generation bioethanol |
| title_full_unstemmed | Optimization of enzymatic saccharification of Chaetomorpha linum biomass for the production of macroalgae-based third generation bioethanol |
| title_short | Optimization of enzymatic saccharification of Chaetomorpha linum biomass for the production of macroalgae-based third generation bioethanol |
| title_sort | optimization of enzymatic saccharification of chaetomorpha linum biomass for the production of macroalgae based third generation bioethanol |
| topic | enzyme technology cellulase bioconversion modelling optimization |
| url | http://www.aimspress.com/Bioengineering/article/946/fulltext.html |
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