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目的:研究用超临界CO2萃取白果油的最佳工艺条件及其成分的GC-MS鉴定。方法:首次采用响应曲面法优化白果油超临界CO2萃取工艺,并采用GC-MS对白果油成分进行分析。结果:建立了一个较好预测试验结果的模型方程,根据该方程对白果油的超临界萃取工艺参数进行了优选,确定了其最佳工艺为:萃取压力29.01Mpa,萃取温度40.38℃,萃取时间120min,得率为4.46%;并采用GC-MS法鉴定出18种化学成分,其中不饱和脂肪酸含量为76.8%,首次从白果中鉴定出双环[10.1.0]十三碳-1-烯(5.52%)。结论:该工艺具有萃取率高、速度快、操作简便等优点,可用于白果油的提取。
OBJECTIVE: To study the optimum conditions for the extraction of ginkgo oil by supercritical CO2 and GC-MS identification of its components. Methods: The supercritical CO2 extraction process of Ginkgo biloba oil was optimized by response surface methodology for the first time, and the composition of ginkgo oil was analyzed by GC-MS. Results: A model equation of better predicting test was established. Based on this equation, the optimum technological parameters of supercritical CO2 extraction of ginkgo oil were determined. The optimum conditions were: extraction pressure 29.01Mpa, extraction temperature 40.38 ℃, extraction time 120 min with a yield of 4.46%. 18 chemical constituents were identified by GC-MS, in which the content of unsaturated fatty acids was 76.8%. For the first time, bicyclo [10.1.0] tridec-1-ene 5.52%). Conclusion: The process has the advantages of high extraction rate, fast speed and easy operation, which can be used for the extraction of ginkgo oil.