杨 飞,阿吉然姆•阿布拉,木巴拉克•伊明江,海力茜•陶尔大洪.响应面法优化核桃分心木中多糖的提取工艺[J].食品安全质量检测学报,2020,11(16):5724-5729
响应面法优化核桃分心木中多糖的提取工艺
Optimization of extraction process of polysaccharide from Diaphragma juglandis Fructus by response surface method
投稿时间:2020-07-14  修订日期:2020-07-24
DOI:
中文关键词:  核桃分心木  多糖  超声提取  响应面法
英文关键词:Diaphragma juglandis Fructus  polysaccharides  extraction parultrasons  response surface
基金项目:自治区‘十三五’重点学科建设(1007)
作者单位
杨 飞 新疆维吾尔自治区分析测试研究院 
阿吉然姆•阿布拉 新疆医科大学药学院 
木巴拉克•伊明江 新疆医科大学药学院 
海力茜•陶尔大洪 新疆医科大学药学院 
AuthorInstitution
YANG Fei Xinjiang Institute of Analysis and Testing 
AJIRANMU•A-Bu-La School of Pharmacy, Xinjiang Medical University 
MUBALAKE Yi-Ming-Jiang School of Pharmacy, Xinjiang Medical University 
HAILIQIAN•Tao-Er-Da-Hong School of Pharmacy, Xinjiang Medical University 
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中文摘要:
      目的 优化核桃分心木中多糖的提取工艺。方法 采用超声提取法对核桃分心木中多糖进行提取, 以多糖含量为考察指标, 在单因素实验的基础上, 研究超声提取温度、超声提取时间、料液比对核桃分心木多糖含量的影响, 并采用响应面法优化核桃分心木多糖含量的提取工艺。结果 核桃分心木中提取多糖的最佳工艺参数为: 超声提取温度为60 ℃、超声提取时间为40 min、料液比为1:15(m/V)。采用此条件此方法提取核桃分心木中多糖, 含量为17.42%, 相对标准偏差为0.273%。结论 采用响应面优化法得到的提取条件参数准确可靠, 具有实际应用价值。
英文摘要:
      Objective To optimize the extraction process of polysaccharide from Diaphragmajuglandis Fructus. Methods Polysaccharide were extracted from Diaphragma juglandis Fructus by ultrasonic extraction. Taking the polysaccharide content as an index, the effects of ultrasonic extraction temperature, ultrasonic extraction time and feed-liquid ratio on the extraction process of polysaccharide from Diaphragma juglandis Fructus were studied on the basis of single-factor experiment, and the extraction process of polysaccharide from Diaphragma juglandis Fructus was optimized by response surface method. Results The optimum extraction parameters of polysaccharide from Diaphragma juglandis Fructus were as follow: ultrasonic extraction temperature was 60 ℃, ultrasonic extraction time was 40 min, the soild liquid ratio was 1:15(m/V). Under these condition, the polysaccharide content increased to 17.42%, and relative standard deviation was 0.27%. Conclusions The parameters obtained by response surface optimization method are accurate and reliable, and have practical application value.
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