中文摘要：

研究野蔷薇根挥发油超声-微波协同提取的最佳工艺和挥发油的化学成分.在单因素试验的基础上,采用Box-Behnken设计对野蔷薇根挥发油超声波协同微波提取工艺中的液料比、微波时间和微波功率3因素的最优化组合进行了定量研究,建立并分析了各因素与得率关系的数学模型,并通过气相色谱-质谱联用技术对其成分进行了分析.最佳的工艺条件为液料比9.88 m L/g,提取时间156 s和微波功率276 W,经试验验证此条件下得率为3.88%,与理论计算值3.82%基本一致.说明回归模型能较好地预测野蔷薇根挥发油的提取得率.从野蔷薇根挥发油中共分离出104个峰,鉴定出49个化学成分,采用峰面积归一化法确定了各成分的相对含量.

英文摘要：

To study the optimization of ultrasonic-microwave synergistic extraction technology for volatile oil from the root of Rosa multiflora Thunb and analyze its chemical composition by gas chromatography-mass spectrometry（ GC-MS）.The influences of solvent to material ratio,microwave power and extraction time on the extraction yield of volatile oil from Rosa multiflora Thunb with the ultrasonic-microwave synergistic extraction（ UM SE） technique were studied.Box-Behnken experimental design was based on the single factor experiments. One mathematical model established and analyzed by response surface methodology（ RSM） was adequate to describe the relationships between the studied factors and the response of volatile oil extraction yield.Based on the canonical analysis,the optimum extraction conditions were obtained as follows： solvent to material ratio 9.88 m L / g,microwave power 276 W and extraction time156 s.Under the optimized extraction conditions,the extraction yield is3.88%,which is close to the estimated value 3.82% attained by using regression mode.This model can well predict the extraction ratio of volatile oil from Rosa multiflora Thunb.Then the chemical components of the volatile oil were examined by GC-MS.Finally 104 kinds of compounds were separated,49 kinds of compounds were identified,and the relative contents of these components were determined by peak area normalization method.