Statistical Optimization of Media Components by Taguchi Design and Response Surface Methodology for Enhanced Production of Anticancer Metabolite by Penicillium sp. JUFP2

[...]statistical experimental design techniques, especially Taguchi design and response surface methodology (RSM) are being used widely to select the significant variables and obtain the optimal levels, respectively7,8. CDYB medium was supplemented with different carbon sources (glucose, lactose, maltose, sucrose, starch, glycerol and activated charcoal [AC]) each at a final concentration of 0.5% w/v and with different nitrogen sources (peptone, beef extract, egg albumin, ammonium sulphate, ammonium oxalate, urea and sodium nitrate) each at the final concentration of 0.05% w/v. In subsequent optimization studies, the quantity and concentration of this fraction was determined by checking the optical density (OD) of the extract from every trial at 220 nm. 3.2 Optimization of culture conditions by the classical method: 3.2.1 Effect of Carbon Source: When media with different carbon sources, were screened for biomass and metabolite production from the fungal isolate Penicillium sp. 3.3 Statistical optimization of culture conditions: 3.3.1Taguchi Experimental Design: Taguchi experimental design was adopted in the current study for obtaining the relationship between the important parameters (pH, temperature, carbon source, nitrogen source and duration of incubation) which affect the metabolite production and the quantity of biomass produced.