Determination of Five Coumarins in Angelicae Pubescentis Radix from Different Origins by HPTLC-Scanning
The HPTLC method is widely used in the field of quality evaluation and component analysis of traditional Chinese medicine (TCM). This work developed an HPTLC method to determine the five effective components of osthole, columbianadin, isoimperatorin, oxypeucedanin, and imperatorin in Angelicae Pubes...
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Published in | Journal of analytical methods in chemistry Vol. 2022; pp. 1 - 7 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Hindawi
29.08.2022
John Wiley & Sons, Inc Hindawi Limited |
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Abstract | The HPTLC method is widely used in the field of quality evaluation and component analysis of traditional Chinese medicine (TCM). This work developed an HPTLC method to determine the five effective components of osthole, columbianadin, isoimperatorin, oxypeucedanin, and imperatorin in Angelicae Pubescentis Radix (APR) from twelve different origins, and the quality difference was analyzed by comprehensive factor analysis and cluster analysis. The results showed that the calibration curves of five components exhibited good linearity within the linear ranges (0.8–4.0 μg). The RSD of precision was 1.06%–1.21%, and the repeatability and stability tests were good. The results of cluster analysis showed that the APR from 12 different areas was divided into two categories, and at the same time, it was found that the quality of Dazhou in Sichuan and Huating in Gansu was better than in other areas. In this study, a simple, rapid, and efficient method for quality evaluation of TCM was established by the HPTLC method. |
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AbstractList | The HPTLC method is widely used in the field of quality evaluation and component analysis of traditional Chinese medicine (TCM). This work developed an HPTLC method to determine the five effective components of osthole, columbianadin, isoimperatorin, oxypeucedanin, and imperatorin in
Angelicae Pubescentis
Radix (APR) from twelve different origins, and the quality difference was analyzed by comprehensive factor analysis and cluster analysis. The results showed that the calibration curves of five components exhibited good linearity within the linear ranges (0.8–4.0
μ
g). The RSD of precision was 1.06%–1.21%, and the repeatability and stability tests were good. The results of cluster analysis showed that the APR from 12 different areas was divided into two categories, and at the same time, it was found that the quality of Dazhou in Sichuan and Huating in Gansu was better than in other areas. In this study, a simple, rapid, and efficient method for quality evaluation of TCM was established by the HPTLC method. The HPTLC method is widely used in the field of quality evaluation and component analysis of traditional Chinese medicine (TCM). This work developed an HPTLC method to determine the five effective components of osthole, columbianadin, isoimperatorin, oxypeucedanin, and imperatorin in Angelicae Pubescentis Radix (APR) from twelve different origins, and the quality difference was analyzed by comprehensive factor analysis and cluster analysis. The results showed that the calibration curves of five components exhibited good linearity within the linear ranges (0.8–4.0 μg). The RSD of precision was 1.06%–1.21%, and the repeatability and stability tests were good. The results of cluster analysis showed that the APR from 12 different areas was divided into two categories, and at the same time, it was found that the quality of Dazhou in Sichuan and Huating in Gansu was better than in other areas. In this study, a simple, rapid, and efficient method for quality evaluation of TCM was established by the HPTLC method. The HPTLC method is widely used in the field of quality evaluation and component analysis of traditional Chinese medicine (TCM). This work developed an HPTLC method to determine the five effective components of osthole, columbianadin, isoimperatorin, oxypeucedanin, and imperatorin in Angelicae Pubescentis Radix (APR) from twelve different origins, and the quality difference was analyzed by comprehensive factor analysis and cluster analysis. The results showed that the calibration curves of five components exhibited good linearity within the linear ranges (0.8-4.0μ g). The RSD of precision was 1.06%-1.21%, and the repeatability and stability tests were good. The results of cluster analysis showed that the APR from 12 different areas was divided into two categories, and at the same time, it was found that the quality of Dazhou in Sichuan and Huating in Gansu was better than in other areas. In this study, a simple, rapid, and efficient method for quality evaluation of TCM was established by the HPTLC method. |
Audience | Academic |
Author | Li, Qian Ji, Dangtong Wang, Ting Yang, Hanting Chen, Yuying Fan, Yue |
AuthorAffiliation | State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China |
AuthorAffiliation_xml | – name: State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China |
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Cites_doi | 10.1016/j.ejmech.2020.112832 10.1080/10826070802353247 10.1016/j.carbpol.2020.116047 10.3390/ijms21134618 10.1080/14786419.2019.1591398 10.5740/jaoacint.19-0231 10.1093/jaocint/qsz004 10.3389/fphar.2020.00335 10.1093/chromsci/bmt057 10.1093/chromsci/bmz007 10.3390/molecules25143251 10.1016/j.foodchem.2019.126070 10.1016/j.jpba.2017.07.038 10.1016/j.arabjc.2011.01.021 10.1016/j.arabjc.2013.10.006 10.3390/molecules25204762 10.1093/chromsci/bmz009 10.1002/jssc.201400289 10.1002/bmc.4850 |
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Copyright | Copyright © 2022 Dangtong Ji et al. COPYRIGHT 2022 John Wiley & Sons, Inc. Copyright © 2022 Dangtong Ji et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 Copyright © 2022 Dangtong Ji et al. 2022 |
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References | 11 22 12 23 13 16 Committee for the Pharmacopoeia of PR China (1) 2020 17 18 Y. R. Cai (24) 2019; 33 19 L. L. Zhou (4) 2019; 21 3 5 6 7 8 9 Q. Yuan (2) 2020; 236 B. X. Gao (14) 2015; 38 B. Wang (15) 2019; 38 20 10 21 |
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SubjectTerms | Cluster analysis Coumarins Factor analysis Herbal medicine Linearity Origins Quality assessment Quality control Quantitative analysis Regression analysis Sample size Stability analysis Stability tests Traditional Chinese medicine |
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Title | Determination of Five Coumarins in Angelicae Pubescentis Radix from Different Origins by HPTLC-Scanning |
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