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响应面优化—超声辅助提取丹参多糖工艺 被引量:9

Optimization of ultrasound-assisted extraction of polysaccharides from salvia miltiorrhiza bunge roots using response surface analysis
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摘要 响应面优化超声波法提取丹参多糖工艺;方法:在单因素试验的基础上,采用三因素三水平响应面分析法,利用软件Design Expert试验设计原理得到二次线性回归方程,以多糖产率为响应面值作响应面图;结果:确定超声提取丹参多糖最佳工艺条件为:超声功率90 W、超声温度50℃、提取时间30 min、液固比为55:1,提取次数为2次,丹参多糖产率为8.23%。统计结果表明,模型相关系数R^2=0.8398。变异系数C.V值较低,说明实验有较好的稳定性;超声功率的二次项和液料比的二次项均达到极显著水平(P<0.01)。验证实验表明,所得模型方程能较好地预测实验结果,拟合度较好。结论:超声提取法与传统水煮法相比,不仅能耗低、产率高,且提取时间缩短16倍。 Aim. Response surface methodology with three factors and three levels was used to optimize the ultrasound-assisted extraction of polysaccharides from salvia miltiorrhiza bunge roots. Method. On the basis of a series of one-factor experiments, second linear regression equation was gained with polysaccharid yield as a response surface value by the Design-expert software. Result. The optimum extraction conditions of polysaccharides from salvia miltiorrhiza bunge roots were determined as follows: 90 W of extraction power, 30 min of extraction time, 50℃ of extraction temperature and 55:1 (mL/g) of liquid-to-solid ratio, 2 of extraction grades, and the extraction efficiency of polysaeeharides was up to 8.23 % under the optimized conditions. Statistical results shown that the model correlation coefficient R2 = 0.8398. A low CV values of variation coefficient indicated that the time had a good stability; quadratic quadratic of ultrasonic power, and liquid-solid ratio had reached a significant level (P 〈0.01). Confirmative test indicated the good prediction ability of the established model. Conclusion. Ultrasonic extraction method was not only low energy consumption, high yield, and the extraction time was shortened by 16 times compared with the traditional water-boiling method.
出处 《计算机与应用化学》 CAS 2015年第5期596-600,共5页 Computers and Applied Chemistry
基金 山西省教育厅国际交流项目(2011-63) 忻州师范学院重点学科建设项目资助计划(xk201402) 山西省高等学校教学改革项目(2015-100) 山西省教育厅重点建设学科项目(20141010)资助
关键词 丹参 多糖 超声波提取 响应面法 Salvia miltiorrhiza bunge polysaeeharides ultrasonic extraction response surface methodology
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