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Improving the fermentation production of the individual key triterpene ganoderic acid me by the medicinal fungus Ganoderma lucidum in submerged culture.

Abstract
Enhanced ganoderic acid Me (GA-Me, an important anti-tumor triterpene) yield was attained with the medicinal fungus Ganoderma lucidum using response surface methodology (RSM). Interactions were studied with three variables, viz. glucose, peptone and culture time using a Central Composite Design (CCD). The CCD contains a total of 20 experiments with the first 14 experiments organized in a fractional factorial design, with the experimental trails from 15 to 20 involving the replications of the central points. A polynomial model, describing the relationships between the yield of GA-Me and the three factors in a second-order equation, was developed. The model predicted the maximum GA-Me yield of 11.9 mg·L−1 for glucose, peptone, culture time values of 44.4 g·L−1, 5.0 g·L−1, 437.1 h, respectively, and a maximum GA-Me yield of 12.4 mg·L−1 was obtained in the validation experiment, which represented a 129.6% increase in titre compared to that of the non-optimized conditions. In addition, 11.4 mg·L−1 of GA-Me was obtained in a 30-L agitated fermenter under the optimized conditions, suggesting the submerged culture conditions optimized in the present study were also suitable for GA-Me production on a large scale.
AuthorsGao-Qiang Liu, Xiao-Ling Wang, Wen-Jun Han, Qin-Lu Lin
JournalMolecules (Basel, Switzerland) (Molecules) Vol. 17 Issue 11 Pg. 12575-86 (Oct 24 2012) ISSN: 1420-3049 [Electronic] Switzerland
PMID23095899 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Culture Media
  • Drugs, Chinese Herbal
  • Triterpenes
  • ganoderic acid Me
Topics
  • Algorithms
  • Analysis of Variance
  • Bioreactors
  • Culture Media (chemistry)
  • Culture Techniques
  • Drugs, Chinese Herbal (metabolism)
  • Fermentation
  • Models, Biological
  • Regression Analysis
  • Reishi (growth & development, metabolism)
  • Triterpenes (metabolism)

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