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dc.contributor.authorMora, D
dc.contributor.authorCarrillo, F
dc.contributor.authorGelves Gelves, Elizabeth
dc.date.accessioned2022-11-21T20:47:44Z
dc.date.available2022-11-21T20:47:44Z
dc.date.issued2021-09-12
dc.identifier.urihttps://repositorio.ufps.edu.co/handle/ufps/6569
dc.description.abstractThe cellulase enzyme has been used in essential applications in the textile industry and the formulation of some medicines. Therefore, a mathematical model based on previous reports is proposed for cellulase enzyme enhancement. First, the kinetic constants were taken from the literature. Then, two operating strategies were carried out to maximize cellulase production using 10g/L of cellulose and 0.4g/L of cells as a first strategy using a batch mode. Alternatively, a second operating mode is simulated using continuous cellulose feeding. Finally, a comparative analysis was made for determining the best operating mode related to maximal cellulase production. Interestingly, the continuous mode shows a high cellulase concentration lasting a shorter time than the batch mode to avoid inhibiting enzyme production. One of the most important findings of this work focuses on increasing cellulase production with values of 1800 FPT/L simulating the continuous mode. The latter suggests that cellulase production could be double the concentration obtained with the traditional batch mode (800FPU/L). Results obtained in this research may be promising for the enzyme production industry. Using simulation techniques, it is possible to determine an enhancement without requiring excessive experimentation and resources.eng
dc.format.extent09 Páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.relation.ispartofJournal of Physics: Conference Series. Vol. 2049 No.012093(2021)
dc.rightsPublished under licence by IOP Publishing Ltdeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/spa
dc.sourcehttps://iopscience.iop.org/article/10.1088/1742-6596/2049/1/012093spa
dc.titleCellulase Production from Trichoderma harzianum: a Framework Modeling for Evaluating Different Operating Mode Strategieseng
dc.typeArtículo de revistaspa
dcterms.referencesNiño L, Cárdenas A and Gelves G 2013 Evaluation of chemical pretreatments for enzymatic hydrolysis of lignocellulosic residues cassava (Manihot esculenta Crantz). Revista Facultad de Ingeniería 69 317spa
dcterms.referencesDelabona P, Lima D, Robl D, Rabelo S, Farinas C and Pradella G 2016 Enhanced cellulase production by Trichoderma harzianum by cultivation on glycerol followed by induction on cellulosic substrates. Journal of Industrial Microbiology and Biotechnology 43(5) 617spa
dcterms.referencesGelain L, Pradella J and Costa A 2015 Mathematical modeling of enzyme production using Trichoderma harzianum P49P11 and sugarcane bagasse as carbon source. Bioresources Technology 198 101spa
dcterms.referencesAlvarado K, Bayona J, Consuegra J, Parada D, Sepúlveda N and Gelves G 2020 Use of Operational Training Simulation in the Study of Ethanol Operating Conditions: A Powerful Tool for Education and Research Performance Improvement Journal of Physics: Conference Series 1655 1spa
dcterms.referencesLópez L, Peñuela, M and Gelves G 2016 Improving of gas-liquid mass transfer in a stirred tank bioreactor: A CFD approach. International Journal of Applied Engineering. Research 11(9) 6097spa
dcterms.referencesNiño L and Gelves G 2015 Simulating gas-liquid mass transfer in a spin filter bioreactor. Revista Facultad de Ingeniería 1 163spa
dcterms.referencesGutiérrez I, Moreno N and Montoya D 2014 Mecanismos y regulación de la hidrólisis enzimática de celulosa en hongos filamentosos: casos clásicos y nuevos modelos. Revista Iberoamericana de Micología 32(1) 1spa
dcterms.referencesLlenque L, Muñoz M, Espejo E and Moreno A 2015 Producción de celulasas por Aspergillus niger a partir de bagazo de caña de azúcar en biorreactor aireado. Ciencia y Tecnología 11(1) 32spa
dcterms.referencesMonod J 1949 The growth of bacterial cultures. Annual Review of Microbiology 3 371spa
dcterms.referencesCaicedo Y, Suarez C and Gelves G 2020 Evaluation of preliminary plant design for Chlorella vulgaris microalgae production focused on cosmetics purposes Journal of Physics: Conference. Series 1655 012086spa
dcterms.referencesIbañez A, Rolon Y and Gelves G 2020 Evaluating Cost-Effective Culture Media for Nutraceutics Production from Microalgae Using Computer-Aided Large Scale Predictions Journal of Physics: Conference. Series 1655 012082spa
dcterms.referencesNieto L, Rivera C and Gelves G 202 Economic Assessment of Itaconic Acid Production from Aspergillus Terreus using Superpro Designer Journal of Physics: Conference Series 1655 012100spa
dcterms.referencesPacheco S, Niño L and Gelves G 2020 Recombinant Anti-Thrombin Production from Saccharomyces Cerevisiae: Large Scale Trends Based on Computational Predictions Journal of Physics: Conference Series 1655 012081spa
dcterms.referencesHernandez S, Niño L and Gelves L 2020 Simulating of Microbial Growth Scale-Up in a Stirred Tank Bioreactor for Aerobic Processes using Computational Fluid Dynamics Journal of Physics: Conference Series 1655 012109spa
dc.contributor.corporatenameJournal of Physics: Conference Seriesspa
dc.identifier.doi10.1088/1742-6596/2049/1/012093
dc.publisher.placeReino Unidospa
dc.relation.citationeditionVol. 2049 N0.012093 (2021)spa
dc.relation.citationendpage8spa
dc.relation.citationissue012093 (2021)spa
dc.relation.citationstartpage1spa
dc.relation.citationvolumeVol.2049spa
dc.relation.citesD Mora et al 2021 J. Phys.: Conf. Ser. 2049 012093
dc.relation.ispartofjournalJournal of Physics: Conference Seriesspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonsAtribución 4.0 Internacional (CC BY 4.0)spa
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dc.type.contentTextspa
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oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa


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