Abstract
A problem solving strategy employing experimental designs is illustrated in optimizing the yield of a secondary metabolite in solid substrate culture. The strategy employs a screening Plackett-Burman design that selects two of six factors. Then a two- level factorial design is carried out in order to define a search direction. The optimizing search is done employing the Simplex algorithm. A surface response quadratic model in three factors is generated to predict optimum conditions.
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© 1996 Kluwer Academic Publishers
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Rolz, C.E. (1996). Statistical Design and Analysis of Experiments. In: Moreira, A.R., Wallace, K.K. (eds) Computer and Information Science Applications in Bioprocess Engineering. NATO ASI Series, vol 305. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0177-3_12
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DOI: https://doi.org/10.1007/978-94-009-0177-3_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6564-1
Online ISBN: 978-94-009-0177-3
eBook Packages: Springer Book Archive