响应面法优化机械砂磨辅助提取婆枣中原花青素工艺

为了优化深州婆枣中原花青素提取工艺。以深州婆枣为研究对象,利用机械砂磨辅助提取婆枣中原花青素,通过单因素实验和响应面实验优化提取工艺。研究结果表明,机械砂磨辅助提取婆枣中原花青素优化工艺条件为:研料粒径3 mm、研磨时间16 min、研料用量(体积比)30%、研磨温度62 ℃,液料比25 mL/g、乙醇体积分数61%,在优化工艺条件下婆枣中原花青素得率为1.942%±0.001%。实际验证实验表明,预测回归方程模型预测最大得率与验证试验得率相对误差为0.052%,拟合函数模型是可用的。实验证明机械砂磨波提取深州婆枣中原花青素的工艺是可行的。

Optimization of Mechanical Grinding Assisted Extraction of Proanthocyanidins from Shenzhou Jujube By Response Surface Methodology

This study was aimed to optimize the mechanical grinding assisted extraction(MGAE)of proanthocyanidins from Shenzhou jujube. The optimization was performed using one-factor-at-a-time(OFAT)method and response surface methodology(RSM). The results showed that the optimum conditions were as follows:grinding material particle size 3 mm,grinding time 16 min,grinding material dosage(volume ratio)30%,grinding temperature 62 ℃,liquid material ratio 25 mL/g,the volume fraction of ethanol 61%. Under the optimized process conditions,the yield of proanthocyanidins in the leaves was 1.942%±0.001%.The actual verification experiment showed that the relative error between the predicted maximum regression rate and the verification test yield of the regression equation model was 0.052%,and the fitted function model was available. Experiments proved that the process of mechanical grinding extraction of proanthocyanidins from Shenzhou jujube was feasible.