响应面法优化丹参醇沉工艺的研究

Optimizing Process of Radix Salvia Miltiorrhiza Ethanol Precipitation by Response Surface Methodology

关键词:  丹参  醇沉  响应面法

Key words:  Radix Salviae Miltiorrhizae  ethanol precipitation  response surface methodology

摘要:

目的 以原儿茶醛为指标优化丹参醇沉工艺。方法 首先采用Plackett-Burman设计对影响丹参醇沉操作的因素进行筛选，所选取的8个相关因素为：丹参水提浓缩液密度、一次醇沉加醇速度、一次醇沉液乙醇终浓度、一次醇沉浓缩液密度、二次醇沉加醇速度、二次醇沉液乙醇终浓度、氢氧化钠溶液的浓度和二次醇沉液的pH值。在此基础上，采用响应面法在线性范围内对影响醇沉操作的关键因素(丹参水提浓缩液密度、一次醇沉浓缩液密度和pH值)作了进一步的研究与探讨。结果 通过对二次项回归方程求解得知，上述自变量中丹参水提浓缩液密度为1.15 mg·mL^-1、一次醇沉浓缩液密度为1.26 mg·mL^-1和pH值为7.68时，原儿茶醛含量达到最佳值为0.512 mg·mL^-1。结论 优化工艺的原儿茶醛提取含量高，可用于丹参醇沉过程中原儿茶醛的含量控制。

Abstract:

OBJECTIVE To optimize the process of ethanol precipitation of extraction of protocatechua-ldehyde. METHODS An effective two-phase statistical approach to enhance extracting rate. In the first phase, Plackett-Burman design was undertaken to evaluate the effects of the eight factors: namely density of Radix Salvia Miltiorrhiza extract, first ethanol precipitation rate, ethanol concentration of first alcohol precipitation, density of condensed alcohol precipitation, second ethanol precipitation rate, ethanol concentration of second alcohol precipitation, concentration of sodium hydroxide solution and pH. By regression analysis, density of Radix Salvia Miltiorrhiza extract, density of condensed alcohol precipitation and pH were found to be important for extraction of protocatechualdehyde. In the second phase of the optimization process, a three-level three-factor Box-Behnken design was used to optimize the above critical internal factors. RESULTS The results showed that the maximum experimental value of protocatechualdehyde (0.487 mg·mL^-1) can be obtained. CONCLUSION This extraction technology could be used for the extraction of protocatechualdehyde in the process of Radix Salvia Miltiorrhiza ethanol precipitation.