数字中医药（英文）2018，Vol.1Issue(3)：239-246,8.
基于响应面法优化超声辅助提取山香圆叶多糖工艺
Optimization of Ultrasound-assisted Enzymatic Polysaccharide Extraction from Turpiniae Folium Based on Response Surface Methodology
摘要
Abstract
Objective To optimize the extraction procedure and obtain the maximum total polysaccharide yield from Turpiniae Folium. Methods Response surface methodology (RSM), combining Plackett–Burman design (PBD), steepest ascent method, and Box–Behnken design (BBD), was employed. The significant factors contributing to polysaccharide production were determined by PBD. The path of steepest ascent method was performed to rapidly reach the neighborhood of the optimum region. BBD and RSM were applied to further investigate the mutual interaction between the variables and to define the optimal values. Results The significant factors contributing to polysaccharide production were enzyme concentration, extraction time, and liquid-to-solid ratio. The optimal conditions for maximal TFP were: enzyme concentration of 2.8 ％, extraction time of 41 min, and liquid-to-solid ratio of 27 mL/g. The experimental yield of 3.08％ was in good agreement with the model-predicted yield of 3.1％ under the optimized conditions. Conclusion This study was successfully applied to optimize the extraction conditions of Turpiniae Folium polysaccharide, which can contribute to its further production and application.关键词
优化/多糖/山香圆/山香圆叶/响应面法Key words
Optimization/Polysaccharides/Turpinia argute/Turpiniae Folium/Response surface methodology引用本文复制引用
赵灵佳,夏伯侯,林丽美,熊苏慧,唐洁,廖端芳..基于响应面法优化超声辅助提取山香圆叶多糖工艺[J].数字中医药（英文）,2018,1(3):239-246,8.基金项目
We thank for the funding support from the National Natural Science Foundation of China (No. 81503041) and Project Foundation of Changsha Science and Technology Bureau (No. kq1701073). （No. 81503041）
