2009
DOI: 10.1016/j.biortech.2008.11.040
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Maximization of bioconversion of castor oil into ricinoleic acid by response surface methodology

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Cited by 34 publications
(24 citation statements)
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“…The application of RSM contributes to the rapid screening of experimental factors and factors interactions, thus obtaining the optimal process parameters, which significantly reduces the cost of experimentation (Ghosh and Hallenbeck, 2010). Moreover, this method has been extensively used to optimize the operational conditions of bioconversion process (Goswami et al, 2009;Liu et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The application of RSM contributes to the rapid screening of experimental factors and factors interactions, thus obtaining the optimal process parameters, which significantly reduces the cost of experimentation (Ghosh and Hallenbeck, 2010). Moreover, this method has been extensively used to optimize the operational conditions of bioconversion process (Goswami et al, 2009;Liu et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The response variable had a quadratic response (p-value 0,001), in which both pressure and temperature showed an effect, and had a quadratic relationship. According to the Equation (1) and Table 4, all the terms proposed are significant (p-value <0,05), opposed to the results obtained in a study conducted by Goswami et al, (2009). This research seeks to optimize bioconversion of castor bean oil into ricinoleic acid, finding an equation that characterizes that process.…”
Section: Response Surface Methodologymentioning
confidence: 95%
“…Based on the discussions above, it could be concluded that the regression model was in agreement with the experimental data. 22 The optimal condition obtained using RSM was as follows: temperature, 141…”
Section: 23mentioning
confidence: 99%