Cachaça yeast strains: alternative starters to produce beer and bioethanol View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-10

AUTHORS

Thalita Macedo Araújo, Magalhães Teixeira Souza, Raphael Hermano Santos Diniz, Celina Kiyomi Yamakawa, Lauren Bergmann Soares, Jaciane Lutz Lenczak, Juliana Velasco de Castro Oliveira, Gustavo Henrique Goldman, Edilene Alves Barbosa, Anna Clara Silva Campos, Ieso Miranda Castro, Rogelio Lopes Brandão

ABSTRACT

This work was performed to verify the potential of yeast strains isolated from cachaça distilleries for two specific biotechnological applications: beer and bioethanol production. In the beer production, the strains were tested for characteristics required in brewery practices, such as: capacity to ferment maltose and maltotriose, ability to grow at lowest temperatures, low H2S production, and flocculation profile. Among the strains tested, two of them showed appropriate characteristics to produce two different beer styles: lager and ale. Moreover, both strains were tested for cachaça production and the results confirmed the capacity of these strains to improve the quality of cachaça. In the bioethanol production, the fermentation process was performed similarly to that used by bioethanol industries: recycling of yeast biomass in the fermentative process with sulfuric acid washings (pH 2.0). The production of ethanol, glycerol, organic acids, dry cell weight, carbohydrate consumption, and cellular viability were analyzed. One strain presented fermentative parameters similar to PE2, industrial/commercial strain, with equivalent ethanol yields and cellular viability during all fermentative cycles. This work demonstrates that cachaça distilleries seem to be an interesting environment to select new yeast strains to be used in biotechnology applications as beer and bioethanol production. More... »

PAGES

1749-1766

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10482-018-1063-3

DOI

http://dx.doi.org/10.1007/s10482-018-1063-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103393603

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29663103


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10482-018-1063-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10482-018-1063-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10482-018-1063-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10482-018-1063-3'


 

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281 schema:name Laboratório de Biologia Celular e Molecular, Núcleo de Pesquisas em Ciências Biológicas (NUPEB), Universidade Federal de Ouro Preto (UFOP), CEP: 35400-000, Ouro Preto, Minas Gerais, Brazil
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