| Literature DB >> 22487129 |
Haris Nalakath Abubackar1, María C Veiga, Christian Kennes.
Abstract
A two-level full factorial design was carried out in order to investigate the effect of four factors on the bioconversion of carbon monoxide to ethanol and acetic acid by Clostridium autoethanogenum: initial pH (4.75-5.75), initial total pressure (0.8-1.6 bar), cysteine-HCl·H(2)O concentration (0.5-1.2 g/L) and yeast extract concentration (0.6-1.6 g/L). The maximum ethanol production was enhanced up to 200% when lowering the pH and amount yeast extract from 5.75 to 4.75 g/L and 1.6 to 0.6 g/L, respectively. The regression coefficient, regression model and analysis of variance (ANOVA) were obtained using MINITAB 16 software for ethanol, acetic acid and biomass. For ethanol, it was observed that all the main effects and the interaction effects were found statistically significant (p<0.05). The comparison between the experimental and the predicted values was found to be very satisfactory, indicating the suitability of the predicted model.Entities:
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Year: 2012 PMID： 22487129 DOI： 10.1016/j.biortech.2012.03.027
Source DB: PubMed Journal: Bioresour Technol ISSN： 0960-8524 Impact factor: 9.642