Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values

Full text
Author(s):
Laluce, Cecilia [1] ; Igbojionu, Longinus I. [1] ; Silva, Jose L. [1] ; Ribeiro, Clovis A. [2]
Total Authors: 4
Affiliation:
[1] Sao Paulo State Univ UNESP, Inst Chem, Inst Res Bioenergy IPBEN, R Prof Francisco Degni 55, BR-14800060 Araraquara, SP - Brazil
[2] State Univ Sao Paulo Julio de Mesquita Filho UNES, Inst Chem, Dept Analyt Chem, R Prof Francisco Degni 55, BR-14800060 Araraquara, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: BIOTECHNOLOGY FOR BIOFUELS; v. 12, MAY 9 2019.
Web of Science Citations: 0
Abstract

BackgroundIn the present work, the main inhibitors of the yeast cells (vanillin, furfural, formic, and levulinic acid) were generated by pretreatments or hydrolysis (sulfuric acid or enzymes) to convert reducing sugars into ethanol. Inhibitors were added at increasing concentrations to the SD-medium containing yeast extract while negative effects on yeast cells were observed. Statistical analyses were applied to predict and interpret results related to biomass production.ResultsInhibitors affected productivities and yields of biomass and ethanol when added to SD-medium. Based on the 2(3) full-central-composite design, predicted and observed values of ethanol and biomass were obtained in presence of the major inhibitors, which were acetic acid, formic acid, and levulinic acids. Increases in biomass and ethanol production are described in the Response surface graphs (RSM graphs) that resulted from multiple interactions between inhibitors. Positive interactions between the inhibitors occurred at low concentrations and pH values. The results were experimentally validated.ConclusionsStatistical analysis is an extremely useful tool for predicting data during process monitoring, while re-adjustments of conditions can be performed, whenever necessary. In addition, the development of new strains of yeast with high tolerance to biomass inhibitors will have a major impact on the production of second-generation ethanol. Increases in fermentation activity of the yeast Saccharomyces cerevisiae in a mixture containing low concentrations of inhibitors were observed. (AU)

FAPESP's process: 08/56247-6 - Ethanol production from sugar-cane-bagasse: enzymatic pre-treatments, microbiological assays to evaluate toxicity and tolerance to hydrolysates at increasing temperatures
Grantee:Cecilia Laluce
Support type: Program for Research on Bioenergy (BIOEN) - Regular Program Grants