可视化优化超临界CO_2萃取茶树花精油工艺

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

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。

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 m2 VO method holds promise for practical application.