Literature DB >> 27510737

Development and validation of an ultra-performance convergence chromatography method for the quality control of Angelica gigas Nakai.

Hyo Seon Kim1, Jin Mi Chun1, Bo-In Kwon1, A-Reum Lee1, Ho Kyoung Kim2, A Yeong Lee3.   

Abstract

Ultra-performance convergence chromatography, which integrates the advantages of supercritical fluid chromatography and ultra high performance liquid chromatography technologies, is an environmentally friendly analytical method that uses dramatically reduced amounts of organic solvents. An ultra-performance convergence chromatography method was developed and validated for the quantification of decursinol angelate and decursin in Angelica gigas using a CSH Fluoro-Phenyl column (2.1 mm × 150 mm, 1.7 μm) with a run time of 4 min. The method had an improved resolution and a shorter analysis time in comparison to the conventional high-performance liquid chromatography method. This method was validated in terms of linearity, precision, and accuracy. The limits of detection were 0.005 and 0.004 μg/mL for decursinol angelate and decursin, respectively, while the limits of quantitation were 0.014 and 0.012 μg/mL, respectively. The two components showed good regression (correlation coefficient (r2 ) > 0.999), excellent precision (RSD < 2.28%), and acceptable recoveries (99.75-102.62%). The proposed method can be used to efficiently separate, characterize, and quantify decursinol angelate and decursin in Angelica gigas and its related medicinal materials or preparations, with the advantages of a shorter analysis time, greater sensitivity, and better environmental compatibility.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Angelica gigas Nakai; Green chemistry; Supercritical fluid chromatography; Ultra-performance convergence chromatography

Mesh:

Substances:

Year:  2016        PMID: 27510737     DOI: 10.1002/jssc.201600275

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  2 in total

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Authors:  Min Chen; Shan-Shan Wen; Rui Wang; Qing-Xuan Ren; Chen-Wan Guo; Ping Li; Wen Gao
Journal:  Molecules       Date:  2022-06-29       Impact factor: 4.927

2.  Residue and Dietary Risk Assessment of Chiral Cyflumetofen in Apple.

Authors:  Jing Guo; Minmin Li; Yongguo Liu; Fengzhong Wang; Zhiqiang Kong; Yufeng Sun; Jia Lu; Nuo Jin; Yatao Huang; Jiameng Liu; Frédéric Francis; Bei Fan
Journal:  Molecules       Date:  2018-05-02       Impact factor: 4.411

  2 in total

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