Análise multivariada aplicada nas interferências das sobras de açúcares redutores residuais totais nas dornas de fermentação alcoólica

Abstract

In face of the growing use of bioethanol for several purposes, there has been an increase on the market demand and competitiveness, which in turn requires a revision of industrial processes, with a focus on optimization and cost reduction. The bioethanol fermentation process occurs through the metabolization of reducing sugar by preselected yeast types. Since bioethanol fermentation is a complex and dynamic process, it calls for comprehensive studies to continuously improvement of the biofuel sector. In this study, data on the fermentation process of the Santa Terezinha Sugarcane Mill - Gaucha City Unit was collected daily during the 2016 and 2017 harvest periods. First, a factor analysis was used to group explanatory variables. Then, a logistic regression was used to investigate the relationship between the fermentation tanks’ ARRT by-products/leftovers and the explanatory variables. The most important explanatory variables were the sugarcane must quality (24.31%), nutrition/food/feeding quality (11.53%) and fermentation quality (9.14%). These results support the formulation of action plans to correct or/and improve the studied fermentation process, which may result in promising prospects for future harvests and possible financial gains for sugarcane companies.