Optimization of phenolic compounds extraction conditions from lady's bedstraw (Galium verum L.) using historical data design

Aleksandar Kočović, Miroslav Sovrlić, M. Tomovic, Jovana V Bradic, A. Petkovic
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Abstract

Lady's bedstraw (Galium verum L.) are often used in the traditional medicine of the Balkan countries. In previous studies it has been shown that the main components of G. verum extracts, phenols and flavonoids are in the form of heterosides with different saccharides. Also, different types of terpenes, which are the main components of essential oil, are present. In this study, we wanted to identify the optimal conditions for the extraction of phenolic compounds from G. verum. For extraction we used methanol, 96% ethanol and 70% ethanol at five time intervals (15, 30, 60, 90 and 120 minutes). Extraction was carried out in conical flasks, on a shaker, at room temperature (25°C). The total phenolic content in the extracts was determined spectrophotometrically, using the standard method with the Folin–Ciocalteu reagent, and the results were expressed as gallic acid equivalents (GAE – mg of gallic acid/g of crude extract). The total phenolic content when 70% ethanol was used were 33.36±1.94, 64.06±1.51, 112.36±3.23, 141.40±3.06 and 142.77±3.28 GAE in 15, 30, 60, 90 and 120 minute respectively. We used historical data design (HDD) in Design Expert 7.0 software to identify optimal extraction conditions. ANOVA analysis showed that there is a statistically significant difference in the amount of extracted phenols in between all time intervals except between 90 and 120 minutes. The results of the optimization analysis showed that the highest yield of total phenols (145.78 GAE) was obtained using 70% ethanol as a solvent in a time of 107.03 minutes (desirability level = 0.996), while the lowest yield was obtained using methanol as a solvent. Equation of model when 70% ethanol is used as a solvent is: Total phenols = 0.26 + 2.30 ∗time + 4.74^−3 ∗ time^2 − 3.70^−5 ∗ time^3. The experimental values agreed with those predicted, thus indicating suitability of the model employed and the success of HDD in optimizing the extraction conditions.
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采用历史数据设计法优化妇草中酚类化合物的提取工艺
女床草(Galium verum L.)在巴尔干国家的传统医学中经常使用。以往的研究表明,羊角提取物的主要成分,酚类和黄酮类化合物以异杂体的形式与不同的糖类结合。此外,不同类型的萜烯,这是精油的主要成分,存在。在本研究中,我们想要确定从羊角中提取酚类化合物的最佳条件。我们使用甲醇、96%乙醇和70%乙醇在5个时间间隔(15、30、60、90和120分钟)进行提取。在室温(25°C)下,在摇床上的锥形烧瓶中进行提取。采用标准方法,用Folin-Ciocalteu试剂分光光度法测定提取物中总酚含量,测定结果以没食子酸当量(GAE - mg没食子酸/g粗提物)表示。70%乙醇处理15、30、60、90和120 min时,总酚含量分别为33.36±1.94、64.06±1.51、112.36±3.23、141.40±3.06和142.77±3.28 GAE。采用design Expert 7.0软件中的历史数据设计(HDD)确定最佳提取条件。方差分析表明,除90和120分钟外,各时间间隔内酚类物质的提取量差异有统计学意义。优化分析结果表明,以70%乙醇为溶剂,在107.03 min(理想水平= 0.996)的条件下,总酚得率最高,为145.78 GAE;以甲醇为溶剂,得率最低。以70%乙醇为溶剂时的模型方程为:总酚= 0.26 + 2.30 * time + 4.74^−3 * time^2−3.70^−5 * time^3。实验结果与预测结果吻合,表明模型的适用性和HDD优化提取条件的成功。
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