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从黄蜀葵中提取多糖:响应面法的优化。

Polysaccharide extraction from Abelmoschus esculentus: optimization by response surface methodology.

机构信息

Department of Food Science & Technology, Ramin Agricultural & Natural Resources University, Ahvaz, Iran.

出版信息

Carbohydr Polym. 2013 Jun 5;95(1):588-97. doi: 10.1016/j.carbpol.2013.02.041. Epub 2013 Mar 4.

Abstract

Crude polysaccharide extraction from the Iranian Abelmoschus esculentus was performed using water decoction. Response surface methodology (RSM), based on a five level, four variable central composite rotatable design (CCRD), was employed to obtain the best possible combination of extraction time (X1: 0.5-6.5 h), extraction temperature (X2: 80-100 °C), number of extraction (X3: 1-5), and water to the raw material ratio (X4: 4-28) for maximum polysaccharide extraction. The experimental data obtained were fitted to a second-order polynomial equation using multiple regression analysis and also analyzed by appropriate statistical methods (ANOVA). The optimum extraction conditions were as follows: extraction time of 4.94 h, extraction temperature of 94.97 °C, number of extraction of 4, and the ratio of water to raw material of 21.74. Under these conditions, the experimental yield was 16.895±0.29%, which is well in close agreement with the value predicted by the model 16.916%.

摘要

采用水煮法从伊朗的黄蜀葵中提取粗多糖。响应面法(RSM)基于五水平、四变量的中心复合旋转设计(CCRD),旨在获得提取时间(X1:0.5-6.5 h)、提取温度(X2:80-100°C)、提取次数(X3:1-5)和水与原料比(X4:4-28)的最佳组合,以实现最大多糖提取。使用多元回归分析对实验数据进行拟合,并采用适当的统计方法(ANOVA)进行分析。最佳提取条件为:提取时间 4.94 h、提取温度 94.97°C、提取次数 4 次、水与原料比 21.74。在此条件下,实验产率为 16.895±0.29%,与模型预测值 16.916%非常吻合。

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