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Mathematical modelling for the optimization of cellulase production using glycerol for cell growth and cellulose as the inducer substrate

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dc.contributor.author Gelain, Lucas
dc.contributor.author van der Wielen, Luuk A.M.
dc.contributor.author van Gulik, Walter M.
dc.contributor.author da Cruz Pradella, José Geraldo
dc.contributor.author da Costa, Aline Carvalho
dc.date.accessioned 2020-10-30T09:40:19Z
dc.date.available 2020-10-30T09:40:19Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/10344/9382
dc.description peer-reviewed en_US
dc.description.abstract Cellulase production can be divided into two steps: growth stage; followed by an induction stage. To develop a mathematical model for the optimization of this strategy, two sets of experiments were performed in batch mode for parameter estimation. One set of experiments was performed to evaluate the influence of glycerol regarding cell growth (initial concentrations of 5, 10, 15 and 20 g/L). The other set of experiments considered the induction stage using cellulose as the substrate (initial concentrations of 5, 10, 20, 30 and 40 g/L). Two feeding strategies were simulated to maximize cellulase production using glycerol to maintain a high cell concentration. The first simulation used a discrete feed and the second used a continuous feed of cellulose. The mathematical model proposed allows maintaining a high cell concentration and the addition of optimal small amounts of the inducer substrate to prevent inhibition of enzyme production. en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.relation 142478/2014-8 en_US
dc.relation.ispartofseries Chemical Engineering Science:X;8, 100085
dc.subject Mathematical modelling en_US
dc.subject Trichoderma harzianum en_US
dc.subject Cellulose en_US
dc.title Mathematical modelling for the optimization of cellulase production using glycerol for cell growth and cellulose as the inducer substrate en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1016/j.cesx.2020.100085
dc.contributor.sponsor FAPESP en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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