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Nurpida·ABLAJAN, Gulqiman·ABLIZ, Dilnur·MALIK. Optimization of ultrasonic-microwave synergistic extraction technology for volatile oil from the root of Rosa multiflora Thunb and GC-MS analysis[J]. Journal of Yunnan University: Natural Sciences Edition, 2015, 37(2): 285-294. DOI: 10.7540/j.ynu.20140285
Citation: Nurpida·ABLAJAN, Gulqiman·ABLIZ, Dilnur·MALIK. Optimization of ultrasonic-microwave synergistic extraction technology for volatile oil from the root of Rosa multiflora Thunb and GC-MS analysis[J]. Journal of Yunnan University: Natural Sciences Edition, 2015, 37(2): 285-294. DOI: 10.7540/j.ynu.20140285

Optimization of ultrasonic-microwave synergistic extraction technology for volatile oil from the root of Rosa multiflora Thunb and GC-MS analysis

  • 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 mL/g,microwave power 276 W and extraction time156 s.Under the optimized extraction conditions,the extraction yield is 3.88%,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.
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