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采用响应面法优化莪术叶中酚类和黄酮类化合物的提取条件

Optimization of phenolics and flavonoids extraction conditions of Curcuma Zedoaria leaves using response surface methodology.

作者信息

Azahar Nur Fauwizah, Gani Siti Salwa Abd, Mohd Mokhtar Nor Fadzillah

机构信息

Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia.

Halal Products Research Institute, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia.

出版信息

Chem Cent J. 2017 Oct 2;11(1):96. doi: 10.1186/s13065-017-0324-y.

Abstract

This study focused on maximizing the extraction yield of total phenolics and flavonoids from Curcuma Zedoaria leaves as a function of time (80-120 min), temperature (60-80 °C) and ethanol concentration (70-90 v/v%). The data were subjected to response surface methodology (RSM) and the results showed that the polynomial equations for all models were significant, did not show lack of fit, and presented adjusted determination coefficients (R) above 99%, proving their suitability for prediction purposes. Using desirability function, the optimum operating conditions to attain a higher extraction of phenolics and flavonoids was found to be 75 °C, 92 min of extraction time and 90:10 of ethanol concentration ratios. Under these optimal conditions, the experimental values for total phenolics and flavonoids of Curcuma zedoaria leaves were 125.75 ± 0.17 mg of gallic acid equivalents and 6.12 ± 0.23 mg quercetin/g of extract, which closely agreed with the predicted values. Besides, in this study, the leaves from Curcuma zedoaria could be considered to have the strong antioxidative ability and can be used in various cosmeceuticals or medicinal applications.

摘要

本研究着重探讨莪术叶中总酚和黄酮类化合物的提取率最大化与时间(80 - 120分钟)、温度(60 - 80°C)和乙醇浓度(70 - 90 v/v%)之间的关系。数据采用响应面法(RSM)进行分析,结果表明所有模型的多项式方程均具有显著性,不存在失拟现象,且调整决定系数(R)高于99%,证明其适用于预测目的。通过使用期望函数,发现获得更高酚类和黄酮类化合物提取率的最佳操作条件为75°C、92分钟的提取时间和90:10的乙醇浓度比。在这些最佳条件下,莪术叶中总酚和黄酮类化合物的实验值分别为125.75±0.17毫克没食子酸当量和6.12±0.23毫克槲皮素/克提取物,与预测值非常吻合。此外,在本研究中,莪术叶可被认为具有较强的抗氧化能力,可用于各种药妆或医药应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfef/5624860/1bd2bc9aa5a6/13065_2017_324_Fig1_HTML.jpg

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