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Combination of multi-model statistical analysis and quantitative fingerprinting in quality evaluation of Shuang-huang-lian oral liquid

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A Correction to this article was published on 01 October 2020

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Abstract

A model consisting of quantitative fingerprinting integrated with fundamental statistical analysis was established to carry out quality control analysis of Shuang-huang-lian (SHL) oral liquid. The quantitative fingerprinting approach was developed by systematic investigation of the chromatographic condition and optimization of a gradient using a complex sample analysis software system (CSASS). Five pivotal components from three traditional Chinese medicines of SHL oral liquid were determined at dual wavelengths, including phillyrin, baicalin, chlorogenic acid, neochlorogenic acid and cryptochlorogenic acid. Among them, neochlorogenic acid and cryptochlorogenic acid were quantified by quantitative analysis of multi-components with a single marker (QAMS) method. Further, the developed quantitative fingerprinting approach was validated. Good linearity with correlation coefficients (R2) higher than 0.9999 were achieved for phillyrin, baicalin and chlorogenic acid. Recoveries of the three analytes were between 96% and 108%. Relative standard deviation (RSD) values were below 3% regarding the stability and intra-day and inter-day precision. Besides, the feasibility of the QAMS method was verified by an external standard method (ESM) using 18 batches of SHL oral liquid. Fifty-nine batches of SHL oral liquid from nine manufacturers were then analyzed. Effective distinction was realized based on a linear principal component analysis (linear-PCA) model by the combination of the quantitative data and chromatographic fingerprinting. The linear-PCA model based on quantitative chromatographic fingerprinting exhibited great advantage over conventional similarity analysis to distinguish between different samples. The strategy provided a particularly simple and effective approach for quality evaluation of SHL oral liquid from various manufacturers.

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  • 01 October 2020

    The authors would like to call the reader���s attention to the fact that unfortunately there was a mistake in Table 1 of this contribution.

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Acknowledgements

This work was supported by the State Key Program of the National Natural Science Foundation of China (Grant No. U1508221), the National Science and Technology Major Project (2018ZX09735-002) and the funding for the construction of the DICP-CMC Innovation Institute of Medicine.

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  1. Wei Si and Yali Qiao contributed equally to this work.

Authors and Affiliations

  1. Key Lab of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, Liaoning, China

    Wei Si, Yali Qiao, Zhe Liu, Gaowa Jin, Yanfang Liu, Xingya Xue, Han Zhou, Aijin Shen & Xinmiao Liang

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Wei Si, Yali Qiao & Zhe Liu

  3. Shandong Institutes for Food and Drug Control, Jinan, 250100, Shandong, China

    Yanming Liu

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  1. Wei Si
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Si, W., Qiao, Y., Liu, Z. et al. Combination of multi-model statistical analysis and quantitative fingerprinting in quality evaluation of Shuang-huang-lian oral liquid. Anal Bioanal Chem 412, 7073–7083 (2020). https://doi.org/10.1007/s00216-020-02841-z

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