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Study on the Fingerprints and Quality Evaluation of Angelica Sinensis Radix by HPLC Coupled With Chemometrics Based on Traditional Decoction Process of ACPTCM.
Dose Response. 2020 Jul-Sep; 18(3):1559325820951730.DR

Abstract

OBJECTIVE

To establish a HPLC fingerprints evaluation method for Angelica Sinensis Radix (ASR) based on traditional decoction process of Ancient Classical Prescriptions of Traditional Chinese Medicine (ACPTCM).

METHODS

The fingerprints of 10 batches of ASR were further evaluated by chemometrics methods. The similarity analyzed with "Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine 2004A," and hierarchical clustering analysis (HCA) and principal component analysis (PCA) were performed by SPSS (version 22.0, SPSS Inc., Chicago, IL, USA).

RESULTS

There were 12 common peaks, and the similarity degrees of 10 batches of samples were more than 0.923 and showed that all the samples from different origins were of good consistency. The samples were divided into 4 clusters by HCA. The results of PCA showed that the 3 factors were chosen, the quality of samples could be evaluated basically. The comprehensive score results show that the ASR with Lot.Nos.DG-18007, DG-18008 in Weiyuan County, Gansu and DG-18009 produced in Minle County, Gansu Province rank among the top 3 in all samples.

CONCLUSIONS

These results demonstrated that the combination of HPLC chromatographic fingerprint and chemometrics offers an efficient and reliable approach for quality evaluation of ASR from different sources as Ancient Classical Prescriptions ingredients.

Authors+Show Affiliations

School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, USA.Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, USA.School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33013250

Citation

Qian, Zhang, et al. "Study On the Fingerprints and Quality Evaluation of Angelica Sinensis Radix By HPLC Coupled With Chemometrics Based On Traditional Decoction Process of ACPTCM." Dose-response : a Publication of International Hormesis Society, vol. 18, no. 3, 2020, p. 1559325820951730.
Qian Z, Yiyang C, Lixia M, et al. Study on the Fingerprints and Quality Evaluation of Angelica Sinensis Radix by HPLC Coupled With Chemometrics Based on Traditional Decoction Process of ACPTCM. Dose Response. 2020;18(3):1559325820951730.
Qian, Z., Yiyang, C., Lixia, M., Yue, J., Jun, C., Jie, D., Yifan, M., Jingjing, Z., & Guojun, Y. (2020). Study on the Fingerprints and Quality Evaluation of Angelica Sinensis Radix by HPLC Coupled With Chemometrics Based on Traditional Decoction Process of ACPTCM. Dose-response : a Publication of International Hormesis Society, 18(3), 1559325820951730. https://doi.org/10.1177/1559325820951730
Qian Z, et al. Study On the Fingerprints and Quality Evaluation of Angelica Sinensis Radix By HPLC Coupled With Chemometrics Based On Traditional Decoction Process of ACPTCM. Dose Response. 2020 Jul-Sep;18(3):1559325820951730. PubMed PMID: 33013250.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Study on the Fingerprints and Quality Evaluation of Angelica Sinensis Radix by HPLC Coupled With Chemometrics Based on Traditional Decoction Process of ACPTCM. AU - Qian,Zhang, AU - Yiyang,Chen, AU - Lixia,Ma, AU - Yue,Jiang, AU - Jun,Chen, AU - Jie,Dong, AU - Yifan,Ma, AU - Jingjing,Zhang, AU - Guojun,Yan, Y1 - 2020/09/22/ PY - 2020/05/22/received PY - 2020/07/23/revised PY - 2020/07/28/accepted PY - 2020/10/5/entrez PY - 2020/10/6/pubmed PY - 2020/10/6/medline KW - HPLC KW - angelica sinensis radix KW - chemometrics KW - fingerprint KW - quality evaluation SP - 1559325820951730 EP - 1559325820951730 JF - Dose-response : a publication of International Hormesis Society JO - Dose Response VL - 18 IS - 3 N2 - OBJECTIVE: To establish a HPLC fingerprints evaluation method for Angelica Sinensis Radix (ASR) based on traditional decoction process of Ancient Classical Prescriptions of Traditional Chinese Medicine (ACPTCM). METHODS: The fingerprints of 10 batches of ASR were further evaluated by chemometrics methods. The similarity analyzed with "Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine 2004A," and hierarchical clustering analysis (HCA) and principal component analysis (PCA) were performed by SPSS (version 22.0, SPSS Inc., Chicago, IL, USA). RESULTS: There were 12 common peaks, and the similarity degrees of 10 batches of samples were more than 0.923 and showed that all the samples from different origins were of good consistency. The samples were divided into 4 clusters by HCA. The results of PCA showed that the 3 factors were chosen, the quality of samples could be evaluated basically. The comprehensive score results show that the ASR with Lot.Nos.DG-18007, DG-18008 in Weiyuan County, Gansu and DG-18009 produced in Minle County, Gansu Province rank among the top 3 in all samples. CONCLUSIONS: These results demonstrated that the combination of HPLC chromatographic fingerprint and chemometrics offers an efficient and reliable approach for quality evaluation of ASR from different sources as Ancient Classical Prescriptions ingredients. SN - 1559-3258 UR - https://www.unboundmedicine.com/medline/citation/33013250/Study_on_the_Fingerprints_and_Quality_Evaluation_of_Angelica_Sinensis_Radix_by_HPLC_Coupled_With_Chemometrics_Based_on_Traditional_Decoction_Process_of_ACPTCM. L2 - https://journals.sagepub.com/doi/10.1177/1559325820951730?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -
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