Literature DB >> 32023361

Analysis of astragalosides I, II and IV in some Egyptian Astragalus species and Astragalus dietary supplements using high-performance liquid chromatography/evaporative light scattering detector and non-parametric regression.

Mohamed A Korany1, Marwa S Moneeb1, Aya M Asaad2, Nadia A El-Sebakhy2, Alaa A El-Banna2.   

Abstract

INTRODUCTION: GenuTs Astragalus L. is characterised by the presence of cycloartane saponins which have wide biological activities such as antioxidant, immunomodulating' hepatoprotective and anti-inflammatory activities. From these cycloartane saponins are astragalosides I, II and IV which have been regarded as the most important active constituents in Astragalus species.
OBJECTIVES: This work describes the quantitative analysis of astragalosides I, II and IV in some Egyptian Astragalus species and Astragalus dietary supplements in a single run by high-performance liquid chromatography/evaporative light scattering detector (HPLC/ELSD) using gradient elution.
METHODOLOGY: The method of quantitation adopted in this study is the standard addition method. First and second derivative treatment of the data was performed, and the study presents comparison between two statistical regression methods for handling data; parametric and non-parametric regression methods.
RESULTS: Derivative treatment of the chromatographic response data gives improved quantitation of the chromatographic signals. Non-parametric regression of the data using Theil's method is advantageous over the usual least squares method as it assumes that errors could occur in both x- and y-directions and they might not be normally distributed. In addition, it could effectively circumvent any outlier data points.
CONCLUSION: Due to the simplicity and the good accuracy and reproducibility of the suggested methods, they could be used for analysis and quality control of Astragalus species and Astragalus dietary supplements.
© 2020 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Astragalus; Theil's method; evaporative light scattering detector; high-performance liquid chromatography; non-parametric regression

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Year:  2020        PMID: 32023361     DOI: 10.1002/pca.2925

Source DB:  PubMed          Journal:  Phytochem Anal        ISSN: 0958-0344            Impact factor:   3.373


  2 in total

1.  Alleviation of liver cirrhosis and associated portal-hypertension by Astragalus species in relation to their UPLC-MS/MS metabolic profiles: a mechanistic study.

Authors:  Reham S Ibrahim; Nesrine S El-Mezayen; Alaa A El-Banna
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

2.  Extraction Optimization of Astragaloside IV by Response Surface Methodology and Evaluation of Its Stability during Sterilization and Storage.

Authors:  Lin Xu; Kongjiong Wei; Jiaolong Jiang; Lianfu Zhang
Journal:  Molecules       Date:  2021-04-20       Impact factor: 4.411

  2 in total

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