The study aimed at optimizing the mycelial biomass production of G. lucidum by submerged fermentation. Plackett-Burman design (PBD) was used to screen the important growth conditions, coupled with Central Composite Design (CCD) to study the interaction of various variables with one another. Using PBD, temperature, yeast extract concentration and glucose concentration were found to be significant variables contributing the most to biomass production. The R2 value of the model was 0.9623 which indicated that the model is good. These three variables were used for further optimization studies by CCD. Through CCD, temperature and glucose concentration were found to be the most significant factors affecting the mycelial biomass of G. lucidum. The overall model was found to be significant with a p-value < 0.0001. Statistical optimization was found to be an effective tool as it helped increase the biomass production significantly.
Key words: Ganoderma lucidum; Mycelial biomass; Response Surface Methodology; Plackett-Burman design; Central Composite Design
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