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Statistics-based optimization of extracellular polysaccharide production from Hirsutella sinensis using a fermentation process and in vitro immunomodulatory activity

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Abstract

A 3 factor, 3 level Box-Behnken factorial design combined with response surface methodology was used to optimize the fermentation process for production of extracellular polysaccharide (EPS) from Hirsutella sinensis. The 3 independent variables were temperature (X1), initial pH (X2), and the glucose concentration (X3). Experimental data were fitted to a 2nd order polynomial equation using multiple regression. The optimal fermentation conditions of the production of EPS were a temperature of 18.21°C, an initial pH of 5.81, and a glucose concentration of 7.39 g/L. The maximum predicted EPS production of 2.41 g/L was close to the actual experimental EPS yield (2.42±0.038%), demonstrating the model validity. EPS from H. sinensis had a direct in vitro immuno-stimulating activity using murine macrophage RAW264.7 cells, and stimulated release of several major cytokines (IL-1β, NF-κB, TNF-α, and iNOS) in a dose-dependent manner.

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He, L., Cheng, JW., Wang, YB. et al. Statistics-based optimization of extracellular polysaccharide production from Hirsutella sinensis using a fermentation process and in vitro immunomodulatory activity. Food Sci Biotechnol 23, 451–457 (2014). https://doi.org/10.1007/s10068-014-0062-z

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  • DOI: https://doi.org/10.1007/s10068-014-0062-z

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