Identification of quality markers of Xiaojin Pills using a combination of high-performance liquid chromatographtandem mass spectrometry and multivariate analysis
Open accessAbstract
Purpose: To establish an appropriate quality control method for Xiaojin pills using high-performance liquid chromatograph-tandem mass spectrometry combined with multivariate analysis.Methods: High-performance liquid chromatograph-tandem mass spectrometry was established to detect and quantify 13 chemical components of Xiaojin Pills. In order to evaluate the quality difference between diverse specimens of Xiaojin Pills, several multivariate statistical techniques were applied to analyze the dissimilarity between different batches of samples, including principal composition analysis method and clustering methodology.Results: Five chemical components were identified as primary quality markers, which can be used to accurately distinguish various samples and command the quality of Xiaojin Pills.Conclusion: The results afford a professionally scientific basis for the quality monitoring of Xiaojin Pills and also furnishes reasonable ideas and suggestions for the quality control of other traditional drugs.Keywords: Xiaojin Pills, HPLC-MS/MS, Quality control, Chemometrics, Quality markers
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Chemometrics has been applied to a wide variety of data matrices including water, fungicidal, pharmaceutical, food science, fruits and vegetables processing, Parkinson's disease, plant composition and polymer analysis studies.
“Chemometrics has been applied to a wide variety of data matrices including those collected for water [58], fungicidal [62], pharmaceutical [63], food science [64], fruits and vegetables processing [65], Parkinson’s disease [66], plant composition [67] and polymer analysis [68] studies.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [63]
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Musa, M., Ayoko, G. A., Ward, A., Rösch, C., Brown, R. J., & Rainey, T. J. (2019) · Cells · doi:10.3390/cells8080851 · Cited by 97 · see citing works
- Authors
- Xiong, X., He, Y.-N., Feng, B., Pan, Y., Ke, X.-M., Han, L., Zhang, D.-K., & Zhang, Y.
- Affiliations
- Chengdu University of Traditional Chinese Medicine (CN)
- Venue
- Tropical Journal of Pharmaceutical Research
- Publisher
- African Journals Online (AJOL)
- Published
- 2018-10-05
- Volume
- 17
- Issue
- 8
- Pages
- 1663
- ISSN
- 1596-5996 (ISSN-L)
- 1596-9827
- OpenAlex
- W2895830223
- Cited by
- 5
- References
- 8
- Citations by year
- 2022: 2 · 2021: 2 · 2019: 1
- FWCI
- 1.03
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Tropical Journal of Pharmaceutical Research (publishedVersion, cc-by)
- Funders
- National Natural Science Foundation of China (81873232, 81274098)
- Chengdu University of Traditional Chinese Medicine
- Jiangxi University of Traditional Chinese Medicine
- Chengdu University
- Topics
- Health Sciences › Medicine › Complementary and alternative medicine › Traditional Chinese Medicine Analysis
- Physical Sciences › Chemistry › Analytical Chemistry › Analytical Methods in Pharmaceuticals
- Health Sciences › Medicine › Complementary and alternative medicine › Traditional Chinese Medicine Studies
- Keywords
- quality markers, quality control, traditional Chinese medicine, HPLC-MS/MS, chemometrics, principal component analysis, clustering, batch-to-batch variation
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