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响应面法优化酶-水连续提取西洋参须根人参皂苷

王海燕 俞萍 王鑫 于红霞 周洁 方磊

山东科学2025,Vol.38Issue(5):10-21,12.
山东科学2025,Vol.38Issue(5):10-21,12.DOI:10.3976/j.issn.1002-4026.20240113

响应面法优化酶-水连续提取西洋参须根人参皂苷

Optimization of enzyme-water continuous extraction of ginsenosides from fibrous roots of American ginseng using response surface methodology

王海燕 1俞萍 1王鑫 1于红霞 2周洁 1方磊3

作者信息

  • 1. 济南大学生物科学与技术学院,山东济南 250012
  • 2. 威海市文登区道地参业发展有限公司,山东威海 264400
  • 3. 济南大学生物科学与技术学院,山东济南 250012||金银花全产业链高值高效关键技术山东省工程研究中心,山东临沂 273399
  • 折叠

摘要

Abstract

To optimize the extraction process for ginsenosides from the fibrous roots of American ginseng,the enzyme-water method was used for continuous extraction of ginsenosides from American ginseng.The total ginsenosides extraction yield was used as the evaluation index,and the extraction process was optimized using the response surface methodology.The results showed that the optimal enzymatic extraction conditions were as follows:α-amylase with an enzyme concentration of 7.3%,a liquid/solid ratio of 30 mL/g,and an enzymatic hydrolysis time of 1.2 h.After enzymatic hydrolysis,a secondary water extraction was performed,and the optimal conditions were as follows:a liquid/solid ratio of 27 mL/g,an extraction temperature of 89 ℃,and an extraction time of 1.3 h.Under these conditions,the total ginsenosides extraction yield reached 16.61%.Since it is stable,simple,and efficient,this method has significantly improved the extraction yield and avoided the waste of resources.It partially fills a gap in the extraction process of total ginsenosides from the fibrous roots of American ginseng and provides a reference for further purification,refinement,and activity studies of total ginsenosides.

关键词

西洋参/须根/人参皂苷/提取工艺/响应面法/单因素试验/紫外分光光度法

Key words

American ginseng/fibrous roots/ginsenosides/extraction process/response surface methodology/single factor experiment/ultraviolet spectrophotometry

分类

医药卫生

引用本文复制引用

王海燕,俞萍,王鑫,于红霞,周洁,方磊..响应面法优化酶-水连续提取西洋参须根人参皂苷[J].山东科学,2025,38(5):10-21,12.

基金项目

"十四五"国家重点研发计划子课题(2023YFC3503802) (2023YFC3503802)

山东科学

1002-4026

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