食品科学 ›› 2012, Vol. 33 ›› Issue (12): 102-107.doi: 10.7506/spkx1002-6630-201212020

• 工艺技术 • 上一篇    下一篇

响应曲面法优化超临界CO2 萃取茶树花工艺及萃取物成分分析

余 锐,王 娟,黄惠华*   

  1. 华南理工大学轻工与食品学院
  • 出版日期:2012-06-25 发布日期:2012-07-27
  • 基金资助:
    广东省科技计划项目(2010B020312005);广州市科技计划项目(2010Z1-E221)

Optimization of Supercritical CO2 Extraction of Tea Flowers by Response Surface Methodology and Chemical Composition Analysis of Tea Flower Extract

YU Rui,WANG Juan,HUANG Hui-hua*   

  1. (College of Light Industry and Food Sciences, South China University of Technology, Guangzhou 510640, China)
  • Online:2012-06-25 Published:2012-07-27

摘要: 研究超临界CO2萃取茶树花工艺并分析其萃取物的化学成分。考察萃取压力、温度、时间和夹带剂(95%乙醇)添加量4因素对茶树花萃取物得率的影响,采用响应曲面法对萃取工艺进行优化,建立影响因素和得率之间的回归方程。结果表明:在萃取压力35MPa、萃取温度48℃、夹带剂用量(质量分数)43%条件下,萃取物得率最大,理论得率2.882%,实际得率(2.785±0.068)%。气相色谱-质谱联用法对萃取物的成分进行分析,结果表明:分离出67种萃取物组分,鉴定出其中的49种,占总萃取物的78.11%,其中主要成分是棕榈酸、苯乙酮、α-苯乙醇,相对含量分别为17.81%、2.19%、2.76%。

关键词: 超临界CO2萃取, 茶树花, 响应曲面法, 气相色谱-质谱联用法

Abstract: This paper reports the optimization of supercritical CO2 extraction of tea flowers by response surface methodology and the chemical composition of tea flower extract. The effects of extraction pressure, temperature, extraction time and entrainer (95% ethanol) amount on extraction efficiency were investigated. The operating parameters were optimized using response surface methodology based on the established regression model for extraction efficiency as a function of them. The highest extraction efficiency was obtained under the conditions: extraction pressure 35 MPa, temperature 48 ℃ and entrainer amount 43%, with theoretical and actual values of 2.882% and (2.785± 0.068)%, respectively. GC-MS analysis showed that 67 components were separated from the extract obtained. Of them, 49 were identified, which accounted for 78.11% of the total extract. The main components were n-hexadecanoic acid (17.81%), acetophenone (2.19%), and alpha-methyl-benzenemethanol (2.76%).

Key words: supercritical CO2 extraction, tea flower, response surface methodology, gas chromatography-mass spectroscopy (GC-MS)

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