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Analysis of gallic acid and ellagic acid in leaves of Elaeagnus angustifolia L. from different habitats and times in Xinjiang by HPLC with cluster analysis

Yun Sun, Jiajia Liu, Bayertai, Shasha Tang, Xiaoying Zhou

2020Acta Chromatographica14 citationsDOIOpen Access PDF

Abstract

Abstract Objective To determine the levels of gallic acid and ellagic acid by using high-performance liquid chromatography (HPLC) with R software hierarchical cluster analysisin Elaeagnus angustifolia L. gathered from different locations in Xinjiang. Methods A chromatographic column Diamonsil C18 with a size of 4.6 × 250 mm and 5 μm was used with methanol as A and 0.1% phosphoric acid aqueous solution as B as the mobile phase. The flow rate was 1 mL/min for the gradient elution and the injection volume was 5 μL. HPLC was performed with a detection wavelength of 260 nm and chromatographic column of 35 °C. In addition, R software hierarchical clustering method was used for studying the levels of gallic acid and ellagic acid in E. angustifolia L. from 10 areas. Results Gallic acid and ellagic acid showed a good linear relationship between 7.375 and 236 μg/mL with a correlation coefficient of 0.9999, and between 3.625 and 116 μg/mL with a correlation coefficient of 0.9999 respectively. The average recovery values were 103.98 and 101.57%, and the Relative Standard Deviation (RSD) values were 1.92 and 1.47%. Conclusion Differences in the levels of gallic acid and ellagic acid in E. angustifolia L. leaves from different areas in Xinjiang showed that both were the highest in Kuitun.

Topics & Concepts

Ellagic acidGallic acidChemistryChromatographyHigh-performance liquid chromatographyPhosphoric acidPolyphenolCorrelation coefficientBiochemistryAntioxidantOrganic chemistryStatisticsMathematicsPhytochemical and Pharmacological StudiesMedicinal plant effects and applicationsPhytochemicals and Antioxidant Activities
Analysis of gallic acid and ellagic acid in leaves of Elaeagnus angustifolia L. from different habitats and times in Xinjiang by HPLC with cluster analysis | Litcius