摘要
为确定黄芩茎叶多糖的最佳提取工艺,采用单因素逐级优化试验与响应面分析法,以提取液中的多糖含量为指标,优化微波辅助热水浸提黄芩茎叶多糖的提取工艺。试验结果表明:单因素逐级优化试验筛选获得黄芩茎叶多糖的最佳提取条件为:微波预处理时间5 min,微波预处理功率800 W,料液比1∶35(g/mL),水提时间4 h,水提温度100℃,在此条件下黄芩茎叶多糖的提取率为17.39%。通过响应面分析法优化后所得黄芩茎叶多糖的最佳提取条件为:微波预处理时间312 s,微波预处理功率800 W,料液比1∶34(g/mL),水提时间280 min,水提温度100℃,在此条件下黄芩茎叶多糖的提取率为17.49%。优化得到的黄芩茎叶多糖提取工艺操作简单,合理可行。
To determine the optimal extraction process for polysaccharides from the stems and leaves of Scutellaria baicalensis.Single factor stepwise optimization experiment and response surface analysis were used to optimize the extraction process of polysaccharides from Scutellaria baicalensis stem and leaves using microwave assisted hot water extraction,with the polysaccharide content in the extraction solution as the indicator.The optimal extraction conditions for Scutellaria baicalensis stem and leaf polysaccharides obtained from the single factor stepwise optimization experiment were as follows:microwave pretreatment time of 5 minutes,microwave pretreatment power of 800 W,solid-liquid ratio of 1∶35(g/mL),water extraction time of 4 hours,and water extraction temperature of 100℃.Under these conditions,the extraction rate of Scutellaria baicalensis stem and leaf polysaccharides was 17.39%.The optimal extraction conditions for polysaccharides from Scutellaria baicalensis stem and leaves obtained through response surface analysis optimization are:microwave pretreatment time of 312 seconds,microwave pretreatment power of 800 W,solid-liquid ratio of 1∶34(g/mL),water extraction time of 244 minutes,and water extraction temperature of 100℃.Under these conditions,the extraction rate of polysaccharides from Scutellaria baicalensis stem and leaves is 17.49%.The optimized extraction process of polysaccharides from Scutellaria baicalensis stems and leaves is simple,reasonable,and feasible.
作者
林彦
段涵怡
叶敬榕
杨雪
张凤英
LIN Yan;DUAN Hanyi;YE Jingrong;YANG Xue;ZHANG Fengying(Institute of Traditional Chinese Medicine,Chengde Medical College,Hebei Provincial Key Laboratory of Traditional Chinese Medicine Research and Development,Hebei Chengde 067000,China;Chengde Medical College School of Basic Medicine,Hebei Chengde 067000,China)
出处
《饲料工业》
CAS
北大核心
2024年第10期106-112,共7页
Feed Industry
基金
河北省医学科学研究课题[20220406]
承德医学院2023年校级大学生创新创业训练计划项目[2023133]。
关键词
黄芩茎叶
多糖
微波
响应面
工艺优化
Scutellaria baicalensis stem and leaves
polysaccharides
microwave
response surface
process optimization
作者简介
林彦,硕士,研究方向为中药药理;通讯作者:张凤英,教授。
