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dc.contributor.author
Comelli, Raul Nicolas  
dc.contributor.author
Seluy, Lisandro Gabriel  
dc.contributor.author
Isla, Miguel Angel  
dc.date.available
2017-09-13T20:00:54Z  
dc.date.issued
2016-12  
dc.identifier.citation
Comelli, Raul Nicolas; Seluy, Lisandro Gabriel; Isla, Miguel Angel; Performance of several Saccharomyces strains for the alcoholic fermentation of sugar-sweetened high-strength wastewaters: Comparative analysis and kinetic modelling; Elsevier Science; New Biotechnology; 33; 6; 12-2016; 874-882  
dc.identifier.issn
1871-6784  
dc.identifier.uri
http://hdl.handle.net/11336/24190  
dc.description.abstract
This work focuses on the performance of ten commercial Saccharomyces yeast strains in the batch alcoholic fermentation of sugars contained in selected industrial wastewaters from the soft drink industry. Fermentation has been applied successfully to treat these effluents prior to their disposal. Although many strains were investigated, similar behaviour was observed between all of the Saccharomyces strains tested. When media were inoculated with 2 g L−1 of yeast, all strains were able to completely consume the available sugars in less than 14 h. Thus, any of the strains studied in this work could be used in non-conventional wastewater treatment processes based on alcoholic fermentation. However, ethanol production varied between strains, and these differences could be significant from a production point of view. Saccharomyces bayanus produced the most ethanol, with a mean yield of 0.44 gethanol gsugarconsumed−1 and an ethanol specific production rate of 5.96 gethanol (L h)−1. As the assayed soft drinks wastewaters contain about 105 gsugar/L of fermentable sugars, the concentration of ethanol achieved after the fermentations process was 46.2 gethanol/L. A rigorous kinetic modelling methodology was used to model the Saccharomyces bayanus fermentation process. The kinetic model included coupled mass balances and a minimal number of parameters. A simple unstructured model based on the Andrews equation (substrate inhibition) was developed. This model satisfactorily described biomass growth, sugar consumption and bioethanol production. In addition to providing insights into the fermentative performance of potentially relevant strains, this work can facilitate the design of large-scale ethanol production processes that use wastewaters from the sugar-sweetened beverage industry as feedstock.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Kinetic Modelling  
dc.subject
Bioethanol  
dc.subject
Softdrink Wastewater  
dc.subject
Saccharomyces Bayanus  
dc.title
Performance of several Saccharomyces strains for the alcoholic fermentation of sugar-sweetened high-strength wastewaters: Comparative analysis and kinetic modelling  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-09-04T15:10:37Z  
dc.journal.volume
33  
dc.journal.number
6  
dc.journal.pagination
874-882  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Comelli, Raul Nicolas. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina  
dc.description.fil
Fil: Seluy, Lisandro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina  
dc.description.fil
Fil: Isla, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina  
dc.journal.title
New Biotechnology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.nbt.2016.09.007  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1871678416300280