食品科学 ›› 2012, Vol. 33 ›› Issue (12): 1-7.doi: 10.7506/spkx1002-6630-201212001

• 工艺技术 •    下一篇

响应曲面优化超声辅助提取山茱萸籽油工艺及其成分分析

刘瑞林,詹汉英,陈 钿,牟朝丽,贾晓萌,张志琪*   

  1. 陕西师范大学化学化工学院,药用资源与天然药物化学教育部重点实验室
  • 出版日期:2012-06-25 发布日期:2012-07-27
  • 基金资助:
    国家自然科学基金面上项目(20875060);陕西师范大学2012 年学生暑期社会实践项目

Optimization of Ultrasound-Assisted Extraction of Cornus officinalis Seed Oil by Response Surface Methodology and Chemical Composition Analysis

LIU Rui-lin,ZHAN Han-ying,CHEN Tian,MOU Zhao-li,JIA Xiao-meng,ZHANG Zhi-qi*   

  1. (Key Laboratory of Medicinal Resource and Natural Pharmaceutical Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi’an 710062, China)
  • Online:2012-06-25 Published:2012-07-27

摘要: 研究以正己烷为溶剂超声辅助提取山茱萸籽油的工艺,并对其成分进行分析。采用响应曲面优化法(RSM)优化山茱萸籽油的提取工艺,确定最佳提取工艺参数为提取温度40℃、提取时间40min、液料比10:1(mL/g),在此条件下,山茱萸籽油的一次提取率为97.08%(出油率7.90%)。利用GC-MS对山茱萸籽油中脂肪酸成分进行分析,结果表明:山茱萸籽油的主要脂肪酸成分为油酸(61.89%)、硬脂酸(19.99%)、棕榈酸(7.63%)和亚油酸(6.33%)等,不饱和脂肪酸占脂肪酸总量的69.45%;采用高效液相色谱法测定,山茱萸籽油中VE含量为76.0mg/100g。

关键词: 超声辅助提取, 山茱萸籽油, 响应曲面法(RSM), 成分分析

Abstract: Response surface methdology was employed to optimize the ultrasound-assisted extraction of Cornus officinalis seed oil. Meanwhile, its chemical composition was analyzed by GC-MS. The optimal extraction conditions were determined as 40 ℃ of extracion temperatrure, 40 min of extraction time, and 10:1 of liquid-to-solid raio (mL/g). Under these conditions, the extraction yield of Cornus officinalis seed oil based on the dry weight of Cornus officinalis kernels was 7.90%, accounting for 97.08% of that obtained from Soxhlet extraction. The predominant fatty acids in Cornus officinalis seed oil were oleic acid (61.89%), stearic acid (19.99%), palmitic acid (7.63%), linoleic acids (6.33%), and so on. The percentage of unsaturated fatty acids relative to total fatty acids was 69.45%. In addition, the vitamin E content in Cornus officinalis seed oil, as determined by HPLC, was 76.0 mg/100 g.

Key words: Cornus officinalis seed oil, ultrasound-assisted extraction, chemical composition analysis, response surface methodology (RSM)

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