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引用本文:李永春,李晓兰,赵美荣,赵艳,张智.响应面法优化椿皮中铁屎米-6-酮生物碱超声辅助提取工艺[J].中国现代应用药学,2018,35(5):628-632.
LI Yongchun,LI Xiaolan,ZHAO Meirong,ZHAO Yan,ZHANG Zhi.Optimization of Ultrasound-assisted Extraction Technology of Canthin-6-one from Bark of Ailanthus Altissima by Response Surface Methodology[J].Chin J Mod Appl Pharm(中国现代应用药学),2018,35(5):628-632.
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响应面法优化椿皮中铁屎米-6-酮生物碱超声辅助提取工艺
李永春1,2, 李晓兰2, 赵美荣2, 赵艳2, 张智1
1.东北林业大学林学院, 哈尔滨 150040;2.赤峰学院生命科学学院, 内蒙古 赤峰 024000
摘要:
目的 应用响应面法优化超声辅助提取椿皮中铁屎米-6-酮生物碱的工艺条件。方法 以铁屎米-6-酮生物碱提取量为指标,在单因素考察乙醇提取铁屎米-6-酮的基础上,采用中心组合试验设计和响应面分析法优选提取工艺参数。结果 最佳提取工艺条件为乙醇浓度68%,液固比32 mL·g-1,超声温度54℃,超声时间38 min,铁屎米-6-酮生物碱提取量为26.19 μg·g-1,接近于模型预测值(26.31 μg·g-1)。结论 优选的超声提取工艺合理可靠,可为臭椿的开发应用提供实验依据。
关键词:  椿皮  铁屎米-6-酮  超声辅助提取  响应面法
DOI:10.13748/j.cnki.issn1007-7693.2018.05.002
分类号:R284.1
基金项目:国家自然科学基金项目(31400459)
Optimization of Ultrasound-assisted Extraction Technology of Canthin-6-one from Bark of Ailanthus Altissima by Response Surface Methodology
LI Yongchun1,2, LI Xiaolan2, ZHAO Meirong2, ZHAO Yan2, ZHANG Zhi1
1.College of Forestry, Northeast Forestry University, Harbin 150040, China;2.College of Life Science, Chifeng University, Chifeng 024000, China
Abstract:
OBJECTIVE To optimize ultrasonic-assisted extraction technology of canthin-6-one from bark of Ailanthus altissima.METHODS With yield of canthin-6-one as index, extraction technology parameters were optimized by central composite design-response surface methodology on the basis of the single factor investigation of conditions for extracting canthin-6-one by ethanol.RESULTS Optimum extraction conditions were as follows:ethanol concentration 68%, liquid-solid ratio 32 mL·g-1, ultrasound temperature 54℃, extraction time 38 min. Under these conditions, yield of canthin-6-one was 26.19 μg·g-1, which was close to the predicted value(26.31 μg·g-1).CONCLUSION This optimized technology is reasonable and reliable to provide a basis for development and application of Ailanthus altissima.
Key words:  bark of Ailanthus altissima  canthin-6-one  ultrasound-assisted extraction  response surface methodology
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