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国际药用蘑菇期刊
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ISSN 打印: 1521-9437
ISSN 在线: 1940-4344

国际药用蘑菇期刊

DOI: 10.1615/IntJMedMushrooms.v17.i10.70
pages 977-985

Statistical Optimization of the Content Composition Precursors Using Response Surface Methodology to Enhance Agaricoglyceride A Production from the Shaggy Ink Cap Medicinal Mushroom, Coprinus comatus (Higher Basidiomycetes) Mycelia

Wei Wang
School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, P. R. China
Zhibiao Di
School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, P. R. China
Ruiguo Li
School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, P. R. China
Jingzhen Tian
School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, P. R. China

ABSTRACT

Coprinus comatus, a novel cultivated edible mushroom, has a various of pharmacological effects due to its many active components. In this study, agaricoglycerides, a new class of fungal secondary metabolites that have strong activity against neurolysin, were isolated from C. comatus mycelia. Simultaneously, a 3-level Box−Behnken factorial design was used, combined with response surface methodology, to optimize the precursor composition of agaricoglycerides for the production of agaricoglyceride A. The model estimated that a maximal yield of agaricoglyceride A (20.105 mg/L) could be obtained when the concentrations of 4-hydroxybenzoic acid, glycerol, and methanol (MeOH) were set at 75 mg/L, 0.75 mL/L, and 0.75 mL/L, respectively. The verified experiments showed that the model was significantly consistent with the model prediction. These results showed that appropriately adding the precursors could increase the production of agaricoglyceride A.


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