Department of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran.
Phytochem Anal. 2010 Nov-Dec;21(6):544-9. doi: 10.1002/pca.1230.
Recently, there have been growing attention on the modification and optimisation of new extraction and quantification methods, caused by the lack of environmentally friendly methodologies for the extraction of phytochemicals from complex matrices. In the case of pharmaceutical compounds, not only the extraction procedure but also the analysis method should be efficient, precise, fast and easy.
The essential pharmaceutical characteristics and trace concentration of withanolides led us to modify and optimise the previously reported extraction and quantification procedure for withaferin A (WA) as a candidate for withanolides.
The WA from the air-dried aerial part of Withania somnifera Dunal. was extracted using a microwave-assisted extraction (MAE) technique. Four variables affecting the extraction procedure were optimised using the central composite design approach. The method of high-performance thin-layer chromatography assay was validated and applied for the quantification of each experiment.
The optimum values of factors were: extraction time (150 s), extraction temperature (68°C) and 17 mL of methanol : water in the ratio 25 : 75 as extracting solvent. The solvent system consisted of ethyl acetate : toluene : formic acid : 2-propanol (7.0 : 2.0 : 0.5 : 0.5, v/v/v/v), and densitometric scanning at 220 nm was applied for the analysis. The dynamic linear range, LOD, LOQ and recovery with the inter-day, and intra-day RSDs of the developed method indicated the validity of the method.
A pressurised MAE method for extracting WA from the plant's aerial part was optimised using factorial-based design. The net effect of time, temperature, solvent volume and its ratio suggests that the yield of WA increases until each factor reaches its optimum value, and decreases with further increase in temperature or solvent ratio.
最近,由于缺乏从复杂基质中提取植物化学物质的环保方法,人们越来越关注新的提取和定量方法的改进和优化。对于药物化合物,不仅提取程序,而且分析方法都应该高效、精确、快速且易于操作。
鉴于生物堿类物质的药学特性和痕量浓度,我们对之前报道的提取和定量方法进行了修改和优化,该方法以羽扇豆醇为候选药物。
从干燥的睡茄地上部分用微波辅助提取(MAE)技术提取羽扇豆醇 A(WA)。使用中心复合设计方法优化了影响提取程序的四个变量。高效薄层色谱分析方法进行了验证,并应用于每个实验的定量。
最佳因素值为:提取时间(150 s)、提取温度(68°C)和 17 mL 甲醇:水比 25:75 作为提取溶剂。溶剂系统由乙酸乙酯:甲苯:甲酸:异丙醇(7.0:2.0:0.5:0.5,v/v/v/v)组成,采用 220nm 下的分光光度法进行分析。该方法的动态线性范围、LOD、LOQ 和回收率以及日内和日间 RSD 表明该方法有效。
使用基于因子的设计优化了从植物地上部分提取 WA 的加压 MAE 方法。时间、温度、溶剂体积及其比值的综合效应表明,WA 的产率在每个因素达到最佳值之前增加,而在温度或溶剂比例进一步增加时降低。