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Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening
Published on: April 1, 2016
Critical analysis of application of generalized distance function for optimization of important variables for
1Biochemical Engineering Laboratory (MSB140A), Indian Institute of Technology Madras, Chennai 600036, India. panda@iitm.ac.in
Abstract:
The generalized distance function approach is employed to obtain a suitable near optimal conditions of variables. The optimal values of variables (medium constituents, microbiological parameters, and process parameters) have been evaluated separately using single responses (either specific esterase activity or cell mass) as per central-composite-design and multi-responses following generalized distance function approach. The optimal conditions (medium composition (gl(-1)): dextrose, 13.43; peptone, 7.285; yeast extract, 2.55; and malt extract, 1.695; microbiological parameters: slant age, 39.9h; inoculum age, 9.6 h; and number of cells, 1.49 x 10(8) numbers ml(-1); process conditions: temperature, 29.9 degrees C; and pH, 6.2) obtained by generalized distance approach can be considered as a 'near optimal' solution of interactive multi-response systems of intracellular esterase synthesis by Saccharomyces cerevisiae.
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