Optimisation of biomass, exopolysaccharide and intracellular polysaccharide production from the mycelium of an identified <em>Ganoderma lucidum</em> strain QRS 5120 using response surface methodology

Wild-cultivated medicinal mushroom <em>Ganoderma lucidum</em> was morphologically identified and sequenced using phylogenetic software. In submerged-liquid fermentation (SLF), biomass, exopolysaccharide (EPS) and intracellular polysaccharide (IPS) production of the identified <em>G. lucidum</em> was optimised based on initial pH, starting glucose concentration and agitation rate parameters using response surface methodology (RSM). Molecularly, the <em>G. lucidum</em> strain QRS 5120 generated 637 base pairs, which was commensurate with related <em>Ganoderma</em> species. In RSM, by applying central composite design (CCD), a polynomial model was fitted to the experimental data and was found to be significant in all parameters investigated. The strongest effect (<em>p</em> &lt; 0.0001) was observed for initial pH for biomass, EPS and IPS production, while agitation showed a significant value (<em>p</em> &lt; 0.005) for biomass. By applying the optimized conditions, the model was validated and generated 5.12 g/L of biomass (initial pH 4.01, 32.09 g/L of glucose and 102 rpm), 2.49 g/L EPS (initial pH 4, 24.25 g/L of glucose and 110 rpm) and 1.52 g/L of IPS (and initial pH 4, 40.43 g/L of glucose, 103 rpm) in 500 mL shake flask fermentation. The optimized parameters can be upscaled for efficient biomass, EPS and IPS production using <em>G. lucidum</em>.

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