Abstract:Ganoderma lucidum is a precious fungus with both edible and medicinal values and has a long history of medical use. Triterpenes as the main active components endow G. lucidum with anti-tumor, antioxidant, and other pharmacological activities. The present study endeavors to establish a proficient liquid-state fermentation technology for the enhanced production of triterpenes. In view of the limitations inherent in conventional submerged fermentation and oscillation-static two-stage cultivation, this study established an oscillation-static cycle cultivation process and optimized the cultivation conditions by building an artificial neural network model based on genetic algorithms. The cultivation conditions for the high-yield production of triterpenes were optimized as follows: 2.8 days of oscillation, 7.3 days of static cultivation, 0.2 day of oscillation, and 0.3 day of static cultivation. Under these conditions, the content of triterpenes reached 20.82 mg/g. The yield of triterpenes reached 129.09 mg/L, showing a remarkable increase of 324.78% compared with that of the Z10J0 method. Moreover, the established method shortened the cultivation cycle by 10.6 days. The mycelia cultivated under this regimen exhibited commendable anti-tumor and antioxidant activities. This study not only presents an economical liquid-state fermentation approach but also streamlines the fermentation flow, reduces fermentation duration, and effectively ameliorates drawbacks associated with conventional cultivation methods. In addition, this study gives valuable insights into the scaled application of liquid-state fermentation in the high-yield production of triterpenes, which showcases broad prospects.