AIMS Bioengineering, 2016, 3(3): 400-411. doi: 10.3934/bioeng.2016.3.400.

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Optimization of enzymatic saccharification of Chaetomorpha linum biomass for the production of macroalgae-based third generation bioethanol

1 University of Manouba, ISBST, BVBGR-LR11ES31, Biotechpole Sidi Thabet, 2020 Ariana, Tunisia
2 Unité de Toxines Alimentaire, Institut Pasteur de Tunis, Tunisia
3 University of Tunis El Manar, FST, LMBA-LR03ES03, Campus Universitaire, 2092 Tunis, Tunisia

To evaluate the efficacy of marine macro-algae Chaetomorpha linum 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 C. linum biomass was treated with Aspergillus niger 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. Saccharomyces cerevisiae fermentation of the algal hydrolysate provided 8.6 g ethanol/100g dry matter. These results showed a promising future of applying C. linum biomass as potential feedstock for third generation bioethanol production.
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Keywords enzyme technology; cellulase; bioconversion; modelling; optimization

Citation: Mohamed Neifar, Rim Chatter, Habib Chouchane, Raya Genouiz, Atef Jaouani, Ahmed Slaheddine Masmoudi, Ameur Cherif. Optimization of enzymatic saccharification of Chaetomorpha linum biomass for the production of macroalgae-based third generation bioethanol. AIMS Bioengineering, 2016, 3(3): 400-411. doi: 10.3934/bioeng.2016.3.400

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Copyright Info: 2016, Mohamed Neifar, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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