Anaerobic Acidogenic Fermentation of Cellobiose by Immobilized Cells: Prediction of Organic Acids Production by Response Surface Methodology
Response surface methodology was used to derive a prediction model for organic acids production by anaerobic acidogenic fermentation of cellobiose, using a mixed culture immobilized on γ-alumina. Three parameters (substrate concentration, temperature, and initial pH) were evaluated. In order to dete...
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doaj-4bf76e203d4d4aa9ae54c32101c13e7d2021-08-26T14:16:29ZengMDPI AGProcesses2227-97172021-08-0191441144110.3390/pr9081441Anaerobic Acidogenic Fermentation of Cellobiose by Immobilized Cells: Prediction of Organic Acids Production by Response Surface MethodologyPanagiota Tsafrakidou0Konstantina Tsigkou1Argyro Bekatorou2Maria Kanellaki3Athanasios A. Koutinas4Department of Chemistry, University of Patras, 26500 Patras, GreeceDepartment of Chemical Engineering, University of Patras, 26504 Patras, GreeceDepartment of Chemistry, University of Patras, 26500 Patras, GreeceDepartment of Chemistry, University of Patras, 26500 Patras, GreeceDepartment of Chemistry, University of Patras, 26500 Patras, GreeceResponse surface methodology was used to derive a prediction model for organic acids production by anaerobic acidogenic fermentation of cellobiose, using a mixed culture immobilized on γ-alumina. Three parameters (substrate concentration, temperature, and initial pH) were evaluated. In order to determine the limits of the parameters, preliminary experiments at 37 °C were conducted using substrates of various cellobiose concentrations and pH values. Cellobiose was used as a model sugar for subsequent experiments with lignocellulosic biomass. The culture was well adapted to cellobiose by successive subculturing at 37 °C in synthetic media (with 100:5:1 COD:N:P ratio). The experimental data of successive batch fermentations were fitted into a polynomial model for the total organic acids concentration in order to derive a predictive model that could be utilized as a tool to predict fermentation results when lignocellulosic biomass is used as a substrate. The quadratic effect of temperature was the most significant, followed by the quadratic effect of initial pH and the linear effect of cellobiose concentration. The results corroborated the validity and effectiveness of the model.https://www.mdpi.com/2227-9717/9/8/1441anaerobic acidogenesiscellobioseorganic acidsimmobilized cellsγ-aluminapredictive model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Panagiota Tsafrakidou Konstantina Tsigkou Argyro Bekatorou Maria Kanellaki Athanasios A. Koutinas |
spellingShingle |
Panagiota Tsafrakidou Konstantina Tsigkou Argyro Bekatorou Maria Kanellaki Athanasios A. Koutinas Anaerobic Acidogenic Fermentation of Cellobiose by Immobilized Cells: Prediction of Organic Acids Production by Response Surface Methodology Processes anaerobic acidogenesis cellobiose organic acids immobilized cells γ-alumina predictive model |
author_facet |
Panagiota Tsafrakidou Konstantina Tsigkou Argyro Bekatorou Maria Kanellaki Athanasios A. Koutinas |
author_sort |
Panagiota Tsafrakidou |
title |
Anaerobic Acidogenic Fermentation of Cellobiose by Immobilized Cells: Prediction of Organic Acids Production by Response Surface Methodology |
title_short |
Anaerobic Acidogenic Fermentation of Cellobiose by Immobilized Cells: Prediction of Organic Acids Production by Response Surface Methodology |
title_full |
Anaerobic Acidogenic Fermentation of Cellobiose by Immobilized Cells: Prediction of Organic Acids Production by Response Surface Methodology |
title_fullStr |
Anaerobic Acidogenic Fermentation of Cellobiose by Immobilized Cells: Prediction of Organic Acids Production by Response Surface Methodology |
title_full_unstemmed |
Anaerobic Acidogenic Fermentation of Cellobiose by Immobilized Cells: Prediction of Organic Acids Production by Response Surface Methodology |
title_sort |
anaerobic acidogenic fermentation of cellobiose by immobilized cells: prediction of organic acids production by response surface methodology |
publisher |
MDPI AG |
series |
Processes |
issn |
2227-9717 |
publishDate |
2021-08-01 |
description |
Response surface methodology was used to derive a prediction model for organic acids production by anaerobic acidogenic fermentation of cellobiose, using a mixed culture immobilized on γ-alumina. Three parameters (substrate concentration, temperature, and initial pH) were evaluated. In order to determine the limits of the parameters, preliminary experiments at 37 °C were conducted using substrates of various cellobiose concentrations and pH values. Cellobiose was used as a model sugar for subsequent experiments with lignocellulosic biomass. The culture was well adapted to cellobiose by successive subculturing at 37 °C in synthetic media (with 100:5:1 COD:N:P ratio). The experimental data of successive batch fermentations were fitted into a polynomial model for the total organic acids concentration in order to derive a predictive model that could be utilized as a tool to predict fermentation results when lignocellulosic biomass is used as a substrate. The quadratic effect of temperature was the most significant, followed by the quadratic effect of initial pH and the linear effect of cellobiose concentration. The results corroborated the validity and effectiveness of the model. |
topic |
anaerobic acidogenesis cellobiose organic acids immobilized cells γ-alumina predictive model |
url |
https://www.mdpi.com/2227-9717/9/8/1441 |
work_keys_str_mv |
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