In this paper, the second generation pathway for bioethanol from hornbeam residues was investigated, in order to define the optimum operative conditions of steam explosion pretreatment and subsequently enzymatic hydrolysis maximizing the glucose amount for fermentation process. The whole experimental procedure was designed and analyzed by Response Surface Methodology, a statistic multivariate model that allows to investigate the effect of different parameters on a process and define the optimum values of these variables to optimize the response. The glucose yield from enzymatic hydrolysis was maximize as function of three variables: the severity factor of pretreatment (log R0), the total solids (TS%) of the enzymatic hydrolysis and enzyme loading (EL %) in the enzymatic hydrolysis stage. The Design of Experiment (DoE), based on central composite model, was characterized by 7 tests, varying the variables at five levels, log R0 (3.92, 4.08, 4.31, 4.54, 4.7), TS% (5, 7, 10, 13, 15), EL% (5, 7, 10, 13, 15). The optimization allows to define the best operative condition that is log R0 ¼ 3.97, TS% ¼ 6, EL% ¼ 15 which leads to an overall fermentable sugars yield of 67.8% respect to the initial sugars content in the raw material that corresponds to a theoretical amount of producible ethanol of 251 L/ton dry raw material.
Optimization of bioethanol production from steam exploded hornbeam wood (Ostrya carpinifolia) by enzymatic hydrolysis
Barbanera, M.
Writing – Original Draft Preparation
;Lascaro, E.Investigation
;Foschini, D.Investigation
;Cotana, F.Funding Acquisition
;Buratti, C.Writing – Review & Editing
2018
Abstract
In this paper, the second generation pathway for bioethanol from hornbeam residues was investigated, in order to define the optimum operative conditions of steam explosion pretreatment and subsequently enzymatic hydrolysis maximizing the glucose amount for fermentation process. The whole experimental procedure was designed and analyzed by Response Surface Methodology, a statistic multivariate model that allows to investigate the effect of different parameters on a process and define the optimum values of these variables to optimize the response. The glucose yield from enzymatic hydrolysis was maximize as function of three variables: the severity factor of pretreatment (log R0), the total solids (TS%) of the enzymatic hydrolysis and enzyme loading (EL %) in the enzymatic hydrolysis stage. The Design of Experiment (DoE), based on central composite model, was characterized by 7 tests, varying the variables at five levels, log R0 (3.92, 4.08, 4.31, 4.54, 4.7), TS% (5, 7, 10, 13, 15), EL% (5, 7, 10, 13, 15). The optimization allows to define the best operative condition that is log R0 ¼ 3.97, TS% ¼ 6, EL% ¼ 15 which leads to an overall fermentable sugars yield of 67.8% respect to the initial sugars content in the raw material that corresponds to a theoretical amount of producible ethanol of 251 L/ton dry raw material.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
