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响应面法优化紫斑牡丹花粉总黄酮的提取工艺 被引量:4

Optimization of the Extraction Technology of Total Flavonoids from Paeonia rockii Pollen by Response Surface Methodology
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摘要 目的:优选紫斑牡丹花粉中总黄酮的最佳提取工艺。方法:通过单因素试验遴选影响紫斑牡丹花粉总黄酮提取工艺的因素和水平,并采用Box-Behnken试验设计法,以总黄酮含量及其3种黄酮类化合物(槲皮素、木犀草素、异鼠李素)总含量的综合评分为评价指标,以乙醇浓度、料液比、提取时间为考察因素,利用响应面法对其总黄酮提取工艺进行优化。结果:优选得到的最佳提取工艺参数为:乙醇浓度73%,料液比1∶22 g/m L,回流提取2次,每次100 min;在此条件下,理论值与实际值接近,偏差为1.60%。结论:优选的紫斑牡丹花粉总黄酮的提取工艺合理可行。 Objective : To optimize the extraction technology of total flavonoids from Paeonia rockii pollen. Methods : Based on single factor experiment to select the extraction condition of total flavonoids from Paeonia rockii pollen. The comprehensive scores of the content of total flavonoids and total contents of three flavonoids (luteolin, quercetin, isorhamnetin) were used as indexes. The Box-Behnken test design were used to optimize three factors( ethanol concentration, solid-liquid ratio and extraction time). Response surface methodology was used to optimize the extraction technology of total flavonoids from Paeonia rockii pollen. Results:The optimal parameters were as follows,reflux extraction two times, ethanol concentration was 73%,the material-liquid ratio was 1:22 g/mL, the extraction time was 100 min. Under these conditions,the observed value and predicted value was very close,and the deviation was 1.60%. Conclusion :The optimized extraction technology of total flavonoids from Paeonia rockii pollen is reasonable and feasible.
作者 王斌利 张莉霞 石晓峰 刘东彦 王新娣 李运 邱国玉 WANG Bin-li;ZHANG Li-xia;SHI Xiao-feng;LIU Dong-yan;WANG Xin-di;LI Yun;QIU Guo-yu(Gansu Academy of Medical Science, Lanzhou 730050, China;Gansu University of Chinese Medicine, Lanzhou 730030, China;Lanzhou Institutes for Food and Drug Control,Lanzhou 730030, China)
出处 《中药材》 CAS 北大核心 2017年第10期2396-2400,共5页 Journal of Chinese Medicinal Materials
基金 兰州市2016年第三批科技计划项目(2016-3-17)
关键词 紫斑牡丹花粉 总黄酮 提取工艺 BOX-BEHNKEN设计 响应面法 Pollen of Paeonia suffruticosa Andr. var. papaveracea (Andr.) Kerner Total flavonoids Extraction technology Box- Behnken design Response surface methodology
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