Literature DB >> 26456358

High-performance liquid chromatography with photodiode array detection and chemometrics method for the analysis of multiple components in the traditional Chinese medicine Shuanghuanglian oral liquid.

Bao Qiong Li1, Jing Chen1, Jiao Jiao Li1, Xue Wang1, Hong Lin Zhai1, Xiao Yun Zhang1.   

Abstract

Shuanghuanlian oral liquid, a traditional Chinese medicine preparation, is a mixture of three herbs (Flos Lonicerae, Radix Scutellariae and Fructus Forsythiae). In this study, the quantitative analysis of three main active compounds, chlorogenic acid, forsythin and baicalin in samples from different manufacturers was performed rapidly by high-performance liquid chromatography coupled with photodiode array detection followed by Contour Projection coupled to stepwise regression treatment of the obtained three-dimensional spectra in which the partial overlap between adjacent target components existed. The method was validated for linearity (R>0.9940), precision (RSD<1.25%), recovery (92.20-102.50%), limit of detection (0.01-0.02 μg/mL) and limit of quantification (0.03-0.07 μg/mL). The results indicated that the combination of the three-dimensional spectra of traditional Chinese medicine and Contour Projection-stepwise regression offered an accurate, simple, low-cost and eco-friendly way for the rapid quantitative analysis of Shuanghuanlian oral liquid samples.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Chemometrics; Contour projection; High-performance liquid chromatography; Quantitative analysis; Three-dimensional spectroscopy

Mesh:

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Year:  2015        PMID: 26456358     DOI: 10.1002/jssc.201500712

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


  3 in total

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2.  Qualitative and Quantitative Evaluation of Chemical Constituents from Shuanghuanglian Injection Using Nuclear Magnetic Resonance Spectroscopy.

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Journal:  J Anal Methods Chem       Date:  2022-03-09       Impact factor: 2.193

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Authors:  Ze Ying Li; Xin Kang Li; Yuan Lin; Na Feng; Xiang-Zhi Zhang; Qing-Lin Li; Bao Qiong Li
Journal:  Front Chem       Date:  2022-09-07       Impact factor: 5.545

  3 in total

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