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药用蜀葵根中抗氧化多糖的提取工艺优化

The extraction process optimization of antioxidant polysaccharides from Marshmallow (Althaea officinalis L.) roots.

作者信息

Pakrokh Ghavi Peyman

机构信息

Department of Food Science & Technology, Islamic Azad University, Science and Research Branch, Faculty Street, PO Box 14515.775, Tehran, Iran.

出版信息

Int J Biol Macromol. 2015 Apr;75:51-7. doi: 10.1016/j.ijbiomac.2014.11.047. Epub 2015 Jan 17.

Abstract

Response surface methodology (RSM) with a central composite rotatable design (CCRD) based on five levels was employed to model and optimize four experimental operating conditions of extraction temperature (10-90 °C) and time (6-30 h), particle size (6-24 mm) and water to solid (W/S, 10-50) ratio, obtaining polysaccharides from Althaea officinalis roots with high yield and antioxidant activity. For each response, a second-order polynomial model with high R(2) values (> 0.966) was developed using multiple linear regression analysis. Results showed that the most significant (P < 0.05) extraction conditions that affect the yield and antioxidant activity of extracted polysaccharides were the main effect of extraction temperature and the interaction effect of the particle size and W/S ratio. The optimum conditions to maximize yield (10.80%) and antioxidant activity (84.09%) for polysaccharides extraction from A. officinalis roots were extraction temperature 60.90 °C, extraction time 12.01 h, particle size 12.0mm and W/S ratio of 40.0. The experimental values were found to be in agreement with those predicted, indicating the models suitability for optimizing the polysaccharides extraction conditions.

摘要

采用基于五个水平的中心复合旋转设计(CCRD)的响应面法(RSM),对提取温度(10 - 90°C)、时间(6 - 30 h)、粒径(6 - 24 mm)和水固比(W/S,10 - 50)这四个实验操作条件进行建模和优化,以从药蜀葵根中获得高产率和高抗氧化活性的多糖。对于每个响应,使用多元线性回归分析建立了具有高R(2)值(> 0.966)的二阶多项式模型。结果表明,影响提取多糖产率和抗氧化活性的最显著(P < 0.05)提取条件是提取温度的主效应以及粒径和W/S比的交互效应。从药蜀葵根中提取多糖以最大化产率(10.80%)和抗氧化活性(84.09%)的最佳条件是提取温度60.90°C、提取时间12.01 h、粒径12.0 mm和W/S比40.0。发现实验值与预测值一致,表明该模型适用于优化多糖提取条件。

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