Combinative method using HPLC fingerprint and quantitative analyses for quality consistency evaluation of an herbal medicinal preparation produced by different manufacturers

Li, Yan; Wu, Tao; Zhu, Jinghui; Wan, Lili; Yu, Qi; Li, Xingxia; Cheng, Zhihong; Guo, Cheng

doi:10.1016/j.jpba.2010.01.018

Cited by 91 publications

(60 citation statements)

References 15 publications

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“…This technique emphasizes the systematic characterization of compositions of samples and focuses on the identification and assessment of the stability of the components in complex systems (Drasar et al, 2004;Liu et al, 2007;World Health Organization, 2007). This may not be sufficient to control the overall quality of herbal preparations because of the lack of quantitative information of active compounds (Li et al, 2010). For this reason, it would be better to determine the main bioactive constituents simultaneously, and the use of high-performance liquid chromatography (HPLC) fingerprinting is particularly advised (Lu et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Coptidis Rhizoma–Euodiae Fructus couple and Zuojin products based on HPLC fingerprint chromatogram and simultaneous determination of main bioactive constituents

Gào

Yang

Marriott

2013

Pharmaceutical Biology

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Context: Coptidis Rhizoma-Euodiae Fructus couple (CEC) is a classic traditional Chinese medicine preparation consisting of Coptidis Rhizoma and Euodiae Fructus at the ratio of 6:1, and used to treat gastro-intestinal disorders. Alkaloids are the main bioactive component. This research provides comprehensive analysis information for the quality control of CEC. Objective: To develop a high-performance liquid chromatography-diode array detection fingerprint for chemical composition characteristics of CEC and its products. Materials and methods: The samples were separated with a Gemini C 18 column by using gradient elution with water-formic acid (100:0.03) and acetonitrile as mobile phase. Flow rate was 1.0 mL/ min and detection wavelength was 250 nm. Similarity analysis and principal component analysis (PCA) were employed to evaluate quality consistencies of analytes. Mean chromatograms and correlation coefficients of analytes were calculated by the software ''Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine''. Results: Fingerprint chromatogram comparison determined 20 representative general fingerprint peaks, and the fingerprint chromatogram resemblances are all better than 0.988. Consistent results were obtained to show that CEC and its related samples could be successfully divided into three groups. Contribution plots generated by PCA were performed to interpret differences among the sample groups while peaks which significantly contributed to classification were identified. Seven bioactive constituents in the samples were verified by quantitative analysis. Discussion and conclusion: The chromatographic fingerprint with similarity evaluation and PCA assay combined with quantification of seven compounds could be utilized as a quality control method for the herbal couple.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Coptidis Rhizoma–Euodiae Fructus couple and Zuojin products based on HPLC fingerprint chromatogram and simultaneous determination of main bioactive constituents

Gào

Yang

Marriott

2013

Pharmaceutical Biology

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“…Reflux extraction was not suitable for the extraction because of the time waste, solvent consuming, and low extraction efficiency. UAE has been widely used in the extraction of chemicals from medicinal plants for HPLC analysis [25][26][27]. In our work, the extraction time (30, 40, 50, and 60 min) and sample-solvent ratio (1:10, 1:20, 1:40, and 1:60, w/v) were investigated, and the results showed that the best extraction was produced when 1.0 g sample was extracted with 20 mL methanol by UAE for 40 min.…”

Section: Optimization Sample Extraction Methodsmentioning

confidence: 99%

Multiple compounds determination and fingerprint analysis ofAgrimonia pilosaLedeb by high-performance liquid chromatography

Wang

Yin

et al. 2014

Acta Chromatographica

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Summary. In the present paper, a simple and reliable high-performance liquid chromatography-diode array detection (HPLC-DAD) method was developed both for quantitative determination and fingerprint analysis of Agrimonia pilosa Ledeb for quality control. Under the optimized HPLC conditions, seven bioactive compounds including rutin, quercetin-3-rhamnoside, luteoloside, tiliroside, apigenin, kaempferol, and agrimonolide were determined simultaneously. For fingerprint analysis, 11 common peaks were selected as the characteristic peaks to evaluate the similarities of 16 different samples collected from different origins in China. Besides, hierarchical cluster analysis (HCA) was also performed to evaluate the variation of the raw materials. This is the first report of using a simple method for quality control of A. pilosa Ledeb through multi-component determination and chromatographic fingerprint analysis to the best of our knowledge.

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“…For the extraction solvents, six solutions (30% EtOH, 60% EtOH, 95% EtOH, 30% MeOH, 60% MeOH, and 100% MeOH) were evaluated, and other extrac- In order to obtain a reliable detection wavelength, HPLC-DAD coupled with three dimensional plots (3D-plots) was used [13] [14]. With the satisfactory resolution, more peaks with high response were observed at 310 nm; hence the monitoring wavelength was maintained at 310 nm.…”

Section: Optimization Of the Extraction And Chromatographic Conditionsmentioning

confidence: 99%

Development and Distinction of <i>Rhizoma rodgersiae</i> with HPLC-DAD Fingerprint Analysis Combined with Chemical Pattern Recognition Techniques

Yan¹,

Yang²

2017

AJAC

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In this paper, the feasibility and advantages of employing high performance liquid chromatographic-photodiode array detection (HPLC-DAD) fingerprint combined with chemical pattern recognition for quality consistency evaluation of widely used Rhizoma rodgersiae (RR) were investigated and demonstrated for the first time. The Similarity Evaluation System was employed to evaluate the similarities of 10 batches of RR sample; moreover, hierarchical clustering analysis (HCA) and principal component analysis (PCA) were also successfully applied to discriminate RR samples of different regions and seasons. Our results indicated that the seasonal variation had some influence on the chemical fingerprints of this herbal drug. This approach allowed the discrimination of RR samples from different sources. The current study demonstrated that fingerprint profiling coupled with chemical pattern recognition offered a reliable and efficient way to comprehensively assess the quality consistency of the tested samples.

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Combinative method using HPLC fingerprint and quantitative analyses for quality consistency evaluation of an herbal medicinal preparation produced by different manufacturers

Cited by 91 publications

References 15 publications

Evaluation of Coptidis Rhizoma–Euodiae Fructus couple and Zuojin products based on HPLC fingerprint chromatogram and simultaneous determination of main bioactive constituents

Evaluation of Coptidis Rhizoma–Euodiae Fructus couple and Zuojin products based on HPLC fingerprint chromatogram and simultaneous determination of main bioactive constituents

Multiple compounds determination and fingerprint analysis ofAgrimonia pilosaLedeb by high-performance liquid chromatography

Development and Distinction of <i>Rhizoma rodgersiae</i> with HPLC-DAD Fingerprint Analysis Combined with Chemical Pattern Recognition Techniques

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Combinative method using HPLC fingerprint and quantitative analyses for quality consistency evaluation of an herbal medicinal preparation produced by different manufacturers

Cited by 91 publications

References 15 publications

Evaluation of Coptidis Rhizoma–Euodiae Fructus couple and Zuojin products based on HPLC fingerprint chromatogram and simultaneous determination of main bioactive constituents

Evaluation of Coptidis Rhizoma–Euodiae Fructus couple and Zuojin products based on HPLC fingerprint chromatogram and simultaneous determination of main bioactive constituents

Multiple compounds determination and fingerprint analysis ofAgrimonia pilosaLedeb by high-performance liquid chromatography

Development and Distinction of &lt;i&gt;Rhizoma rodgersiae&lt;/i&gt; with HPLC-DAD Fingerprint Analysis Combined with Chemical Pattern Recognition Techniques

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Development and Distinction of <i>Rhizoma rodgersiae</i> with HPLC-DAD Fingerprint Analysis Combined with Chemical Pattern Recognition Techniques