Derivative Spectrophotometric Methods for Simultaneous Determination of Quercetin and Gentisic acid in Capparis spinosa L.

IF 1.2 Q3 MULTIDISCIPLINARY SCIENCES
Dlgash Hamad Maruf, Rizgar Hassan Mohammad
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引用次数: 0

Abstract

Capparis spinosa L. is one of the medicinal plants used in traditional medicine which contains numerous phytochemicals including polyphenolic compounds. Quercetin and gentisic acid are two important phenolic compounds found in plants which display many medicinal properties such as anti-inflammatory, antimicrobial, antioxidant and anticancer. Determination of both compounds together in a binary mixture is not achieved yet with spectrophotometric methods. In this study, two simple, rapid and accurate derivative spectrophotometric methods were developed and used for simultaneous quantification of quercetin and gentisic acid in binary mixtures of Capparis spinosa L. methanolic leaves extract. The first technique relies on the zero-crossing approach (first and fourth order derivatives), while the second approach is based on using ratio spectra and first-order derivative spectrophotometry. The calibration curves of the two derivative spectrophotometric techniques are linear in the concentration ranges of 2.0-30 µg/mL and 4.0-80 µg/mL for quercetin and gentisic acid, respectively, whereas the recovery percentages ranged from 94.06% - 105.98% (quercetin) and 94.29% - 113.37% (gentisic acid). The developed methods were effectively used for the quantitative determination of both phenolic compounds in Capparis spinosa L. leaves.
导数分光光度法同时测定辣椒中槲皮素和龙胆酸的含量。
刺毛椒是一种传统药用植物,含有多种植物化学物质,包括多酚类化合物。槲皮素和龙胆酸是植物中发现的两种重要的酚类化合物,具有抗炎、抗菌、抗氧化和抗癌等药理作用。用分光光度法还不能同时测定二元混合物中的这两种化合物。本研究建立了两种简便、快速、准确的导数分光光度法,用于同时测定刺毛柑甲醇叶提取物二元混合物中槲皮素和龙胆酸的含量。第一种技术依赖于零交叉方法(一阶和四阶导数),而第二种方法是基于使用比例光谱和一阶导数分光光度法。槲皮素和龙胆酸在2.0 ~ 30µg/mL和4.0 ~ 80µg/mL范围内均呈良好的线性关系,回收率分别为94.06% ~ 105.98%(槲皮素)和94.29% ~ 113.37%(龙胆酸)。所建立的方法可有效地用于辣椒叶中两种酚类物质的定量测定。
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来源期刊
Baghdad Science Journal
Baghdad Science Journal MULTIDISCIPLINARY SCIENCES-
CiteScore
2.00
自引率
50.00%
发文量
102
审稿时长
24 weeks
期刊介绍: The journal publishes academic and applied papers dealing with recent topics and scientific concepts. Papers considered for publication in biology, chemistry, computer sciences, physics, and mathematics. Accepted papers will be freely downloaded by professors, researchers, instructors, students, and interested workers. ( Open Access) Published Papers are registered and indexed in the universal libraries.
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