QUANTIFICATION OF RESPIRO-FERMENTATIVE METABOLISM OF BEER, WINE AND BREAD YIELD BY ESTEQUIOMETRIC METHOD

Authors

  • Ricardo Figueira
  • Lucas Felipe dos Ouros UNESP, Faculdade de Ciências Agronômicas de Botucatu, Departamento de Horticultura
  • Isabela Penteriche de Oliveira UNESP, Faculdade de Ciências Agronômicas de Botucatu, Departamento de Horticultura
  • Thalia Lee Lopes de Andrade UNESP, Faculdade de Ciências Agronômicas de Botucatu, Departamento de Horticultura
  • Waldemar Gastoni Venturini Filho UNESP, Faculdade de Ciências Agronômicas de Botucatu, Departamento de Horticultura

DOI:

https://doi.org/10.17224/EnergAgric.2021v36n1p10-16

Abstract

The alcoholic yeast can breathe and ferment simultaneously, called respiro-fermentative metabolism.  Yeast’s respiration and fermentation metabolism can be measured considering the amount of ethanol produced in the fermentation process and the carbon dioxide produced in both respiration and fermentation processes. This research focused on calculating the respiration and fermentation rates of five different alcoholic yeast strains (baker’s, beer top-fermenting (ale), beer bottom fermenting (lager), red wine and white wine) by stoichiometry. Sugar cane must (15 °Brix) was used as growth medium. Fermentation was performed in an open vessel at room temperature. A sample was taken hourly, and the fermentation process ended after 8 hours. Beer top-fermenting yeast and baker’s yeast resulted in higher respiration rates (19.17% and 19.12%), while white wine yeast and bottom-fermenting yeast resulted in higher fermentation rates (90.48% and 89.67%). Bottom-fermenting yeast produced higher amount of ethanol (7.57%) and baker’s yeast presented higher metabolic activity (131.59 g of sucrose consumed).

Published

2021-07-20

How to Cite

Figueira, R., dos Ouros, L. F., de Oliveira, I. P., de Andrade, T. L. L., & Venturini Filho, W. G. (2021). QUANTIFICATION OF RESPIRO-FERMENTATIVE METABOLISM OF BEER, WINE AND BREAD YIELD BY ESTEQUIOMETRIC METHOD. ENERGY IN AGRICULTURE, 36(1), 10–16. https://doi.org/10.17224/EnergAgric.2021v36n1p10-16

Issue

Section

Automation and Optimization of Agricultural Machinery and Equipment

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