1983
DOI: 10.1128/aem.45.2.634-639.1983
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Application of Response Surface Methodology to Evaluation of Bioconversion Experimental Conditions

Abstract: Using Candida tenuis, a yeast isolated from the digestive tube of the larva of Phoracantha semipunctata (Cerambycidae, Coleoptera), we were able to demonstrate the bioconversion of citronellal to citronellol. Response surface methodology was used to achieve the optimization of the experimental conditions for that bioconversion process. To study the proposed second-order polynomial model, we used a central composite experimental design with multiple linear regression to estimate the model coefficients of the fi… Show more

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Cited by 50 publications
(10 citation statements)
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“…CCF designs provide relatively high quality predictions over the entire design space and do not require using points outside the original factor range. Requires 3 levels for each factor (Mary, 2003;Cheynier et al, 1983). A 2 3 three level was used to develop a statistical model for the optimization of process variables such as ratio of water/peel (5/1-7/1, w/w) and distillation time (16-24, minute).…”
Section: Experimental Designmentioning
confidence: 99%
See 1 more Smart Citation
“…CCF designs provide relatively high quality predictions over the entire design space and do not require using points outside the original factor range. Requires 3 levels for each factor (Mary, 2003;Cheynier et al, 1983). A 2 3 three level was used to develop a statistical model for the optimization of process variables such as ratio of water/peel (5/1-7/1, w/w) and distillation time (16-24, minute).…”
Section: Experimental Designmentioning
confidence: 99%
“…RSM is a powerful mathematical model with a collection of statistical techniques where in, interactions between multiple process variables can be identified with fewer experimental trials. It is widely used to examine and optimize the operational variables for experiment designing, model developing and factors and conditions optimization (Cheynier et al, 1983).…”
Section: Introductionmentioning
confidence: 99%
“…The development of predictive models could allow prediction of the shelf-life and safety of products under different processing and storage conditions. Central Composite Design (CCD) (Box et al, 1978) maximises the amount of information obtained and reduces the number of individual experiments; and has been successfully applied in microbiology (Cheynier et al, 1983;Guerzoni et al, 1995).…”
Section: Introductionmentioning
confidence: 99%
“…Originally, RSM was developed to model experimental responses. The main advantage of RSM in optimization is reducing the cost of expensive experimental methods, such as the finite element method or CFD analysis [13][14][15][16][17][18][19][20][21][22][23][24][25][26].…”
Section: Introductionmentioning
confidence: 99%