摘要
目的牛蒡根中多糖的提取工艺优化及含量预测。方法牛蒡根中多糖和葡萄糖标准品的紫外可见光谱和多糖含量数据结合R语言进行偏最小二乘法(partical least squares,PLS)建模,并进行定性和定量分析;采用响应面法优化牛蒡根多糖的提取工艺。结果模型拟合结果表明,散点集中分布在主对角线上故最终模型的拟合效果较好,偏最小二乘法-分光光度法可用于多糖含量的快速预测;响应面法优化的最佳提取条件为提取时间55.45 min、乙醇体积分数50.78%、料液比1∶40.31;在此条件下,牛蒡根多糖的提取率为10.33%。结论建立了预测牛蒡根多糖含量的偏最小二乘-光度法,采用响应面法优化了牛蒡根多糖的提取工艺,为提高牛蒡根资源的综合利用提供依据。
OBJECTIVE To optimize the extraction process of polysaccharide from burdock root and predict the content.METHODS The polysaccharide content data of polysaccharide in burdock root and UV-visible spectra of glucose standard were modeled by partial least squares(PLS)combined with R language.Meanwhile,qualitative and quantitative analysis was performed.The extraction process of polysaccharide from burdock root was optimized by response surface methodology.RESULTS The fitting results of the model showed that the scattered points were concentrated on the main diagonal,indicating that the model fitted well.The content of polysaccharide was quickly predicted by partial least squares-spectrophotometry.The optimum extraction conditions optimized by response surface methodology were as follows:extraction time 55.45 min,ethanol volume fraction 50.78%,and the solid-liquid ratio 1∶40.31.Under these conditions,the optimum yield of polysaccharides was 10.33%.CONCLUSION Partial least squares-spectrophotometry was established to predict the content of polysaccharide from burdock root,and the extraction process of polysaccharide from burdock root was optimized by response surface method,which provided reference and created a theoretical foundation for improving the comprehensive utilization of resources of burdock root.
作者
加列西·马那甫
马福东
陈锐
Jialiexi·Manafu;MA Fu-dong;CHEN Rui(College of Chemistry and Chemical Engineering,Xinjiang Agricultural University,Urumqi 830052,China)
出处
《中国药学杂志》
CAS
CSCD
北大核心
2022年第20期1703-1709,共7页
Chinese Pharmaceutical Journal
基金
国家自然科学基金项目资助(21564015)。
关键词
光谱法
偏最小二乘法
牛蒡根
多糖
响应面法
提取工艺
spectroscopy
partial least square
burdock root
polysaccharide
response surface methodology
extraction process
