Abstract

The medicinal mushroom Ganoderma lucidum is used by traditional medicine for human infection treatments such as gastric cancer, hypertension, hepatitis, chronic bronchitis and hypocholesterolemia. However, the conventional production of Ganoderma in a solid phase on a large scale is costly and requires excessive processing times, which hinders its technical-economic viability. Based on the preceding, engineering studies are needed to predict their large-scale production, to identify the necessary industrial equipment and costs to propose strategies that reduce operating costs. The SuperPro Designer computational tool is a very versatile simulator used in a wide variety of industrial applications. That is why the purpose of this research is to evaluate the production of the Ganoderma lucidum fungus in large-scale growth culture from a computational approach. The latter, by performing simulations using SuperPro Designer software to identify process yields and propose improvements aimed at increasing productivity. The software was calibrated with experimental data reported from literature and different strategies were intended to determine the economic viability. It was found that the volume of the bioreactor significantly affects production costs compared to exopolysaccharides yields, obtaining values of 6.82 USD/g in a 2 m3 bioreactor while in a production volume of 20 m3 the costs are significantly reduced to 0.8 USD/g. The findings found here demonstrate the importance of predicting a large-scale bioprocess to improve the overall productivity of a biotechnological product.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.