Optimization of the Alcoholic Concentration Obtained From Sugary Cassava (Manihot esculenta Crantz) by Response Surface Methodology
Rodrigo O. Aguiar,
Amanda G. P. Carréra,
Roberto L. Cunha,
Igor V. de Oliveira,
Claudete R. da Silva,
Vicente F. A. Silva,
José N. da Silva,
Josiane P. da Silva,
Fábio I. M. Carvalho,
Luiza H. da S. Martins,
Priscilla A. Silva and
Elisa F. Moura
Journal of Agricultural Science, 2024, vol. 12, issue 11, 157
Abstract:
Sugary cassava or mandiocaba is a cassava variety of potential use for bioethanol production. In this study, laboratory-scale fermentations were carried out in a bioreactor with a working volume of 1L, using the yeast strain LNF CAT-1. A central composite design (CCD) was applied to determine the extent to which pH, temperature, and yeast concentration influence ethanol production with the aim of improving the fermentation process. The individual effects and the interaction of these factors were analyzed using a surface response method. Physicochemical properties of the material were also investigated and the analysis of root characterization showed high moisture content (~91%) and a low amount of starch (~4.0%), ash values close to 1.0%, total fibers 0.4%, proteins 0.15%, and lipids 0.1%. The results obtained from the wort presented a low acidity (~0.2%), pH close to neutrality (~6.5%), total soluble solids values of ~5.8%, glucose content ~2.3%, fructose ~1.0%, and sucrose ~1.2%. The second-order polynomial regression model determined that the maximum ethanol production of 2.8% (v/v) would be obtained when the optimum pH, temperature, and yeast concentration were ~5.0, 32-36 ºC, and ~10-14 g L-1, respectively.
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ccsenet.org/journal/index.php/jas/article/download/0/0/43923/46184 (application/pdf)
https://ccsenet.org/journal/index.php/jas/article/view/0/43923 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ibn:jasjnl:v:12:y:2024:i:11:p:157
Access Statistics for this article
More articles in Journal of Agricultural Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().