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DTSTART;TZID=Europe/Paris:20220608T150000
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SUMMARY:CANCELLED!! KIWI-biolab Talk: Computational methods to model complex bioprocess for ethanol 2G
DESCRIPTION:In the series of the KIWI-biolab talks\, Aldo Vecchietti will talk on June 8\, 2022 at 15:00h about „computational methods to model complex bioprocess for ethanol 2G„. \n\n\n\nProf. Vecchietti leads the Instituto de Desarrollo y Diseno (INGAR)\, an institute associated to the National Scientific and Technical Research Council in Argentina (CONICET). Some of his work is presented on research gate. \n\n\n\nSecond generation bioethanol (2G) obtained from the agricultural and forest industries residues presents a large interest\, because of tis availability and low cost. Besides of reducing the GHG emissions\, they do not compete with food production and avoid eutrophication of watercourses and soil erosion. The 2G ethanol production process has made great progress in recent decades due to the enzymatic hydrolysis (EH) stage of lignocellulosic materials\, which allowed to obtain better yields to evolve to an industrial scale. These advances were possible because of the increase in the enzymatic conversion (EC) yield. However\, the mechanisms by which this process occurs are only superficially understood\, due in part to the large number of reactions and enzymes involved. To study the process\, it is necessary to have computational models to predict its behavior. We are proposing two computational models to represent the enzymatic conversion such that they can be used for the simulation and optimization of the whole 2G ethanol process production. The first one is based on fuzzy logic techniques while in the second one Artificial Neural Networks are employed. \n\n\n\nJoin the talk by this ZOOM-Link.
URL:https://bio-pat.org/event/kiwi-biolab-talk-computational-methods-to-model-complex-bioprocess-for-ethanol-2g
LOCATION:Venue: Online
ATTACH;FMTTYPE=image/jpeg:https://bio-pat.org/wp-content/uploads/2021/10/Logo-KIWI.jpg
ORGANIZER;CN="Organizer%3A%20KIWI-biolab":MAILTO:marta.gonzalezgomez@campus.tu-berlin.de
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