Quantitative and chemical fingerprint analysis for quality control of Rhizoma Coptidischinensis based on UPLC-PAD combined with chemometrics methods

Kong, Weijun; Yan, Zhao; Xiao, Xiaohe; Jin, Cheng; Li, Zu-Lun

doi:10.1016/j.phymed.2009.03.016

Cited by 149 publications

(118 citation statements)

References 19 publications

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“…Recovery data are given in Table 3. PCA (Kannel et al, 2007) is widely used for reducing the dimensions of multivariate problems. It reduces the dimensionality of the original dataset by explaining the correlation among a large number of variables in terms of a smaller number of underlying factors (principal components, PCs) with minimum loss of information (Kong et al, 2009a). In this study, each PC consists of a set of values-scores which define the position of each sample in the new coordinate space, and the other set of values-loadings that give the relative contributions of each variable in calculating the scores.…”

Section: Hplc Dad Fingerprint Analysismentioning

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: Hplc Dad Fingerprint Analysismentioning

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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“…Some works have reported the differences in antibacterial activities of different sources of R. coptidis (Kong et al, 2009b (China Pharmacopoeia Committee, 2005). In the present study, a biologyassessment method, microcalorimetry, was employed to evaluate the antibacterial activities of various R. coptidis.…”

Section: Original Articlementioning

confidence: 99%

Applications of microcalorimetry in the antibacterial activity evaluation of variousRhizoma coptidis

Feng¹,

Yan²,

Zhao³

et al. 2011

Pharmaceutical Biology

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“…Linearity, LOD, LOQ, inter-and intra-day precisions, repeatability, stability, and recovery were all carried out to validate the HPLC method, following the International Conference on Harmonization (ICH) guideline and some reports on determination analysis [22,23].…”

Section: Methods Validationmentioning

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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Quantitative and chemical fingerprint analysis for quality control of Rhizoma Coptidischinensis based on UPLC-PAD combined with chemometrics methods

Cited by 149 publications

References 19 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

Applications of microcalorimetry in the antibacterial activity evaluation of variousRhizoma coptidis

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

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