Optimizing the conditions for adenosine extraction from mycelia of Cordyceps gunnii using genetic algorithm

Meng Fan-xin, Wu Li-yan, Wang

Abstract

The study was performed to optimize the adenosine extraction conditions from the mycelium of Cordyceps gunnii by artificial neural network coupled with genetic algorithm. With the extraction rate of adenosine as index, the critical factors selected for the investigation were extracting temperature, extracting time and solid-liquid radio. The results obtained by the application of GA-ANN were more reliable since better statistical parameters were obtained. The optimum extraction procedure was as follow: extracting time 2.88h, extracting temperature 46.7℃, solid-liquid ratio 1:53 g×mL-1. The extraction rate of adenosine under this condition could reach the highest value of 4.93 mg g-1 with one time extraction.