| 摘要: |
| 【目的】确定雀嘴茶中6′-O-咖啡酰熊果苷（CA）超声辅助提取的最佳工艺。【方法】采用超声辅助法提取雀嘴茶中的CA，通过单因素试验考察甲醇体积分数（50%，60%，70%，80%，90%）、液（mL）料(g)比（8∶1，10∶1，12∶1，14∶1，16∶1）、超声时间（10，15，20，25，30 min）、提取次数（1，2，3，4，5次）对CA提取率的影响，并利用响应面法优化CA的超声辅助提取工艺。【结果】 超声辅助法提取CA的理论最佳工艺条件为：甲醇体积分数72.87%、液料比 15.87∶1、超声时间18.96 min、提取次数3.63次，CA提取率的理论预测值可达到23.12%。根据实际操作的需要，将提取工艺条件修正为甲醇体积分数73%、液料比16∶1、超声时间19 min、提取次数4次，在此条件下CA实际提取率为23.03%，与理论值较为接近。【结论】采用响应面法优化雀嘴茶中CA超声辅助提取的最佳工艺完全可行。 |
| 关键词: 雀嘴茶 6′-O-咖啡酰熊果苷 超声辅助提取 响应面法 |
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| 基金项目:国家自然科学基金项目（21462040，31460076）；西南林业大学科技创新基金项目（C1463） |
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| Optimizing the extraction of 6′-O-caffeoylarbutin from Vaccinium dunalianum by response surface methodology |
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LI Na,DAN Hanlong,LIU Yun,et al
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| Abstract: |
| 【Objective】This study aimed to determine the optimal ultrasonicassisted extraction of 6′-O-caffeoylarbutin (CA) from Vaccinium dunalianum buds.【Method】Ultrasonic-assisted extraction method was used to extract CA from V.dunalianum buds.The effects of methanol concentration (50%,60%,70%,80%,and 90%),liquid material ratio (8∶1,10∶1,12∶1,14∶1,and 16∶1),ultrasonic time (10,15,20,25,and 30 min),and extraction times (1,2,3,4,and 5) on the extraction rate of CA were investigated by single factor experiments and the extraction process was optimized using response surface methodology.【Result】The theoretically optimum ultrasonic assisted extraction conditions for CA were:methanol concentration 72.87%,liquid material ratio 15.87∶1,ultrasonic time 18.96 min,and extraction number 3.63 times.Under this optimal condition,the predicted extraction rate of CA was 23.12%.According to the actual experiment,the above parameters were modified to methanol concentration 73%,liquid material ratio 16∶1,ultrasonic time 19 min,and extraction number 4 times.The actual extraction rate of CA was 23.03%,which was close to the theoretical value. 【Conclusion】 It is feasible to use response surface method for optimization of ultrasonic assisted extraction of CA from V.dunalianum buds. |
| Key words: Vaccinium dunalianum 6′-O-caffeoylarbutin ultrasonic-assisted extraction response surface methodology |
