Abstract
Flavones, the secondary metabolites of Phellinus igniarius fungus, have the properties of antioxidation and anticancer. Because of the great medicinal value, there are large demands on flavones for medical use and research. Flavones abstracted from natural Phellinus can not meet the medical and research need, since Phellinus in the natural environment is very rare and is hard to be cultivated artificially. The production of flavones is mainly related to the fermentation culture of Phellinus, which made the optimization of culture conditions an important problem. Some researches were made to optimize the fermentation culture conditions, such as the method of response surface methodology, which claimed the optimal flavones production was 1532.83 μg/mL. In order to further optimize the fermentation culture conditions for flavones, in this work a hybrid intelligent algorithm with genetic algorithm and BP neural network is proposed. Our method has the intelligent learning ability and can overcome the limitation of large-scale biotic experiments. Through simulations, the optimal culture conditions are obtained and the flavones production is increased to 2200 μg/mL.
Highlights
Phellinus is an ancient Chinese medicine, which has high medicinal value
We focus on the optimization of fermentation conditions, which include the concentrations of glucose, maltose, mannitol, corn powder, yeast extract, copper sulfate, sodium chloride, ferrous sulfate, and vitamin B1
The back propagation (BP) neural network proposed in [11] is a kind of former multiway propagation network, with an input layer, an intermediate layer, and an output layer
Summary
Phellinus is an ancient Chinese medicine, which has high medicinal value. Resent research confirmed that flavones, the secondary metabolites of Phellinus, can improve human immune system, reduce the side effects of anticancer agents, and relieve the reaction of patients to radiotherapy or chemotherapy [1]. There are large demands on the production of flavones, but the natural Phellinus is very rare. In 2008, Zeng et al introduced a breeding method of Phellinus by protoplast fusion [2]. Considering the limited production of Phellinus, it is necessary to develop the extraction process of flavones from Phellinus. Fermentation is usually used to produce the secondary metabolites of fungus, such as ethanol extracts of Phellinus baumii [3]. It should be noticed that different fermentation methods can generate secondary metabolites with different biological activities
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