The aim of this work was to implement experimentally a simple glucose-limited feeding strategy for yeast biomass production in a bubble column reactor based on a spreadsheet simulator suitable for industrial application. In biomass production process using Saccharomyces cerevisiae strains, one of the constraints is the strong tendency of these species to metabolize sugars anaerobically due to catabolite repression, leading to low values of biomass yield on substrate. The usual strategy to control this metabolic tendency is the use of a fed-batch process in which where the sugar source is fed incrementally and total sugar concentration in broth is maintained below a determined value. The simulator presented in this work was developed to control molasses feeding on the basis of a simple theoretical model in which has taken into account the nutritional growth needs of yeast cell and two input data: the theoretical specific growth rate and initial cell biomass. In experimental assay, a commercial baker’s yeast strain and molasses as sugar source were used. Experimental results showed an overall biomass yield on substrate of 0.33, a biomass increase of 6.4 fold and a specific growth rate of 0.165 h−1 in contrast to the predicted value of 0.180 h-1 in the second stage simulation.
Fifty-two yeast isolates from flowers and associated nitidulid beetles of the Brazilian Atlantic Forest (Mata Atlântica) region were found to represent a new species in the large-spored Metschnikowia clade. The species is heterothallic, haploid, and allogamous, and produces asci with two aciculate ascospores that can reach 80 μm in length, as is typical in the clade. Analysis of sequences of the ribosomal RNA gene cluster indicates that the new species is closely related to Metschnikowia lochheadii, which ranges across Central America to northern Brazil, occurs as an adventive species in Hawaii, but is rarely found in central Brazil. The species is not readily distinguishable from relatives based on morphology or growth responses, but is well delineated from M. lochheadii on reproductive isolation. Based on an intron splice site PCR screen, we selected 26 isolates for further study. The sequence of the region that includes the complete internal transcribed spacer/5.8S rRNA gene segment as well as the D1/D2 domains of the large subunit rRNA gene contained three polymorphic segments and 14 haplotypes were identified. Of these, a single divergent isolate from the southernmost of four sampled localities exhibited diminished mating success when crossed with others. We describe two varieties, Metschnikowia matae var. matae sp. nov. var. nov. (type UFMG-CM-Y395(T), CBS 13986(T), NRRL Y-63736(T); allotype UFMG-CM-Y391(A), CBS 13987(A), NRRL Y-63735(A)) and Metschnikowia matae var. maris sp. nov. var. nov. (type UFMG-CM-Y397(T), CBS 13985(T), NRRL Y-63737(T)). We also report on the discovery of the h (+) mating type of Candida ipomoeae and transfer of the species to Metschnikowia ipomoeae comb. nov. (allotype UWOPS 12-660.1(A), CBS 13988(A), NRRL Y-63738(A)).
Seeking to understand the dynamics of the yeast population in a bioethanol fermentation process that uses cell recycling, the yeast inhabiting the fermentation tanks throughout the production season were monitored. A total of 26 yeasts were isolated from tanks in a Brazilian bioethanol distillery plant during six different periods of the season. These yeasts were evaluated with regard to fermentative capacity and all yeasts were qualified to be used for bioethanol production. Based on the numerical taxonomy, it was possible to say that they were all representative of Saccharomyces sensu stricto. A total of 10 different banding patterns were obtained from the 16 strains isolated. This work has shown that the yeast introduced at the beginning of the season was quickly replaced by one or more native yeast strains. It was also shown that the replacement of these strains is not always harmful to the process and isolating such yeasts found in the fermentation tanks could be an interesting strategy for new strain selection.
During alcoholic fermentation, most of the substrates supplied to the yeasts are converted into ethanol and carbon dioxide generating energy for cell maintenance. However, some of these substrates end up being diverted to other metabolic pathways generating by-products reducing the yield in ethanol production. Glycerol is the most important by-product quantitatively, and its production during fermentation is associated to the production of ethanol. The present study was carried out at a full scale in an industrial fermentation plant applied to sugar cane industry with bioreactors operated in fed-batch mode. Varying levels of the operating factors feeding time, temperature, and concentration of yeast were used in order to verify the interaction between ethanol and glycerol in the fermentative kinetics and how these factors can be optimized to increase ethanol production with reduced carbon losses during the formation of other products. The results obtained indicated that glycerol production is linearly associated with ethanol production and that this correlation is influenced by the process conditions. Feeding time had a significant effect and was inversely proportional to the glycerol/ethanol production ratio. Therefore, it can be said that a moderate feeding rate can reduce the production of glycerol in relation to the ethanol produced reducing losses and increasing the fermentation yield.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.