Qualitative and Quantitative Estimation or Chemical Constituents from Leaves and Roots of Iraqi Agave Attenuata by GC-MS and RP-HPLC(Conference Paper) #

Sherine Majeed Shah, Thukaa Z. Abdul-Jalil
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Abstract

This research concentrate on cultivated Iraqi Agave attenuata dried leaves and roots, because of little studies on this plant especially on the root that lead to the eager of study and comparison of phytochemical constituents between leaves and root. Extraction of bioactive constituents was carried out using several solvents with increasing polarity (n-hexane, ethyl acetate and methanol) by soxhlet apparatus. Steroidal saponins in Agave genus is well documented in many species, lightening the minds in this research on extraction method which is specific for steroidal saponins. Phytochemical screening was done by GC/MS for n-hexane fraction, qualitative and quantitative estimation of several bioactive constituents (caffeic acid, p-coumaric acid, and quercetin) for ethyl acetate and methanol fractions while for steroidal saponins (sarsasapogenin, hecogenin and tigogenin) in both leaves and root by using reverse phase-high performance liquid chromatography (RP-HPLC). Among those identified phytochemical constituents, several constituents have not been detected in Agave attenuata leaves and roots before. This study is the first to describe the results in which the highest concentration of caffeic acid was found in leaves ethyl acetate fraction, p-coumaric acid and quercetin in root ethyl acetate fractions. While for steroidal saponins, the hecogenin, tigogenin and sarsasapogenin highest concentrations were found in leaves.        
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用GC-MS和RP-HPLC对伊拉克龙舌兰叶和根的化学成分进行定性和定量评价(会议论文)#
由于对伊拉克龙舌兰的研究较少,特别是对其根的研究较少,因此迫切需要对其叶和根的化学成分进行研究和比较。采用索氏装置,采用极性递增的溶剂(正己烷、乙酸乙酯和甲醇)提取活性成分。龙舌兰属甾体皂苷在许多物种中都有丰富的文献记载,这为研究甾体皂苷的提取方法提供了新的思路。采用GC/MS对正己烷部分进行了植物化学筛选,乙酸乙酯和甲醇部分对咖啡酸、对香豆酸和槲皮素等生物活性成分进行了定性和定量分析,对叶和根中的甾体皂苷类成分进行了反相高效液相色谱(RP-HPLC)分析。在这些鉴定的植物化学成分中,有一些成分是以前未在龙舌兰叶和根中检测到的。本研究首次报道了咖啡酸在叶片乙酸乙酯部位含量最高,对香豆酸和槲皮素在根乙酸乙酯部位含量最高的结果。而甾体皂苷中,黄豆素、虎皮素和菝葜皂苷在叶片中含量最高。
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