Ji-Wei Hao1. 1. College of Life Science, Lin Yi Normal University of Shandong, Linyi 276005, China. haojw@126.com
Abstract
OBJECTIVE: To obtain the optimal conditions of ultrasonic-assisted extraction of polysaccharides from fruitbody of Tricholoma matsutake in Meng mountain, and to provide the theoretical foundation for the further processing and utilization of Tricholoma matsutake in Meng mountain. METHODS: On the basis of the single factor test, response surface methodology was applied to optimize the main extraction conditions. RESULTS: The results showed that extraction time, water-feed ratio and extraction temperature all had significant effects on the extraction rate of polysaccharides. Obvious correlation was found to be existed between extraction time and extraction temperature. The optimal extraction time was 23 min, and the optimal water-feed ratio was 29, and the optimal extraction temperature was 76 degrees C. Under these optimized conditions, the extraction rate of polysaccharides was 11.02%. CONCLUSION: Multivariate regression analysis showed that the model of extraction time, water-feed ratio, extraction temperature and extraction rate of polysaccharides could be forecasted by applying the model.
OBJECTIVE: To obtain the optimal conditions of ultrasonic-assisted extraction of polysaccharides from fruitbody of Tricholoma matsutake in Meng mountain, and to provide the theoretical foundation for the further processing and utilization of Tricholoma matsutake in Meng mountain. METHODS: On the basis of the single factor test, response surface methodology was applied to optimize the main extraction conditions. RESULTS: The results showed that extraction time, water-feed ratio and extraction temperature all had significant effects on the extraction rate of polysaccharides. Obvious correlation was found to be existed between extraction time and extraction temperature. The optimal extraction time was 23 min, and the optimal water-feed ratio was 29, and the optimal extraction temperature was 76 degrees C. Under these optimized conditions, the extraction rate of polysaccharides was 11.02%. CONCLUSION: Multivariate regression analysis showed that the model of extraction time, water-feed ratio, extraction temperature and extraction rate of polysaccharides could be forecasted by applying the model.