食品科学

• 工艺技术 • 上一篇    下一篇

可视化优化超临界CO2萃取茶树花精油工艺

许 静1,孙益民1,*,邹 莉1,方追追1,纵 看1,王 举2   

  1. 1.安徽师范大学化学与材料科学学院,功能性分子固体教育部重点实验室,安徽 芜湖 241000;
    2.安徽瑞研新材料技术研究院,安徽 芜湖 241000
  • 出版日期:2015-06-25 发布日期:2015-06-12
  • 通讯作者: 孙益民

Visual Optimization of Extraction Process of Tea Flower Oil with Supercritical Carbon Dioxide

XU Jing1, SUN Yimin1,*, ZOU Li1, FANG Zhuizhui1, ZONG Kan1, WANG Ju2   

  1. 1. Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science,
    Anhui Normal University, Wuhu 241000, China; 2. Anhui Rereasearch Institute of New Materials Technology, Wuhu 241000, China
  • Online:2015-06-25 Published:2015-06-12
  • Contact: SUN Yimin

摘要:

采用超临界CO2技术对茶树花精油的萃取进行较为系统研究。选择萃取压力、萃取温度、静态萃取时间、动态萃取时间及分离温度5 个影响因素,以萃取量为试验指标,运用多因素多水平可视化设计法安排试验,以多因素多水平可视化优化法对试验数据进行分析优化,得到优化的工艺范围:萃取压力19~22 MPa、萃取温度50~60 ℃、静态萃取时间30~50 min、动态萃取时间80~100 min、分离温度40~50 ℃。3 组验证实验得到的萃取物质量在优化区内8 g以上,研究证明多因素多水平可视化优化方法可以实际应用。

关键词: 超临界CO2萃取, 茶树花, 多因素多水平可视化优化

Abstract:

This paper reports a systematic investigation of the supercritical carbon dioxide extraction of essential oil from
tea flower. Extraction pressure, temperature, static extraction time, dynamic extraction time and separation temperature were
chosen as main variables influencing extraction efficiency. The multifactor and multilevel visual design method (m2VD)
was applied to design the experiments and the experimental data were analyzed by the multifactor and multilevel visual
optimization method (m2VO) to optimize the extraction conditions. Over 8 g of the essential oil was obtained when three
parallel experiments were conducted under the following conditions: extraction pressure 19–22 MPa, extraction temperature
50–60 ℃,static extraction time 30–50 min, dynamic extraction time 80–100 min and separation temperature 40–50 ℃. The
present study indicates that the m2VO method holds promise for practical application.

Key words: supercritical carbon dioxide extraction, tea flower, multifactor and multilevel visual optimization

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