摘要
采用超声波辅助纤维素酶法对绣球菌多糖提取进行试验设计优化,以确定最佳提取条件。对超声功率、超声时间、提取温度、料液比、纤维素酶添加量等5个因素进行单因素试验,确定在超声功率570 W、纤维素酶添加量3%的条件下,选定料液比、超声时间、提取温度作为3个交互因素,进行Box-Behnken试验设计和响应面优化。预测最佳方案为料液比1∶87.62(g·mL-1),提取温度38.4℃,超声时间94.56 min,预测多糖得率为31.49%。对最佳预测模型参数进行验证,结果表明,在料液比1∶90(g·mL-1),超声温度38℃,提取时间95 min的条件下,对5 g绣球菌粉进行粗多糖提取,提取率达到30.60%;对50 g绣球菌粉进行粗多糖提取,第1次粗多糖提取率为31.70%,第2次粗多糖提取率为7.1%。将提取的粗多糖进行浓缩、除蛋白、除色素及透析纯化后,多糖保留率为73.20%。
Ultrasound-assisted cellulase was used to extract polysaccharides from Sparassis crispa,optimize the experimental design and determine the best extraction conditions.This paper conducted a singlefactor experiment on 5 factors,including ultrasonic power,ultrasonic time,ultrasonic temperature,material-to-liquid ratio,and amount of cellulase added.It was confirmed that under the conditions of 570 W ultrasonic power and 3%cellulase added amount,the material-to-liquid ratio,ultrasonic time,and ultrasonic temperature were used as 3 interactive factors to carry out Box-Behnen experimental design and response surface optimization.The best solution was as following:the material-to-liquid ratio was 1∶87.62(g·mL-1),ultrasonic temperature was 38.4℃,and ultrasonic time was 94.56 min,then the predicted polysaccharide yield could reach 31.49%.After verifying the best forecast model paramter,the results showed that under the conditions of material-to-liquid ratio 1∶90(g·mL-1),extraction temperature 38℃,extraction time 95 min,the extraction rate of crude polysaccharide from 5 g Sparassis crispa powder could reached as high as 30.6%.The crude polysaccharide extraction was also performed on 50 g Sparassis crispa powder.The first extraction rate was 31.70%,and the second extraction rate was 7.1%.After concentrating the extracted crude polysaccharide,deproteinizing,depigmenting,and purifying by dialysis,the polysaccharide retention rate was 73.20%.
作者
冯立国
陈湘莲
徐宁
黄晓辉
FENG Liguo;CHEN Xianglian;XU Ning;HUANG Xiaohui(Edible Fungus Institute of Hunan Province,Changsha 410013,Hunan,China;Hunan College of Medicine,Huaihua 418000,Hunan,China)
出处
《中国蔬菜》
北大核心
2021年第5期79-84,共6页
China Vegetables
基金
湖南省自然科学基金项目(2019JJ40167)
长沙市科技局项目(Kq1901157)。
关键词
响应面优化
超声波
纤维素酶
绣球菌
多糖
response surface optimization
ultrasonic
cellulase
Sparassis crispa
polysaccharide
