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Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics
In China, Codonopsis Radix (CR) is frequently consumed both as food and medicine. Here, a comprehensive strategy based on fingerprinting and chemometric approaches was created to explore the influence of origins, storage time and kneading processing on the quality of CR. Firstly, high-performance li...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10343490/ https://www.ncbi.nlm.nih.gov/pubmed/37446787 http://dx.doi.org/10.3390/molecules28135127 |
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author | Liu, Xuxia Chen, Zhengjun Wang, Xin Luo, Wenrong Yang, Fude |
author_facet | Liu, Xuxia Chen, Zhengjun Wang, Xin Luo, Wenrong Yang, Fude |
author_sort | Liu, Xuxia |
collection | PubMed |
description | In China, Codonopsis Radix (CR) is frequently consumed both as food and medicine. Here, a comprehensive strategy based on fingerprinting and chemometric approaches was created to explore the influence of origins, storage time and kneading processing on the quality of CR. Firstly, high-performance liquid chromatography with diode array detection was used to obtain the fingerprints of 35 batches of CR from six different origins and 33 batches of CR from varying storage times or kneading procedures. Secondly, chemometric methods including similarity analysis (SA), principal component analysis (PCA), hierarchical clustering analysis (HCA), and two-way orthogonal partial least square with discriminant analysis (O2PLS—DA) were used to evaluate the differences of chemical components in CR so as to identify its source and reflect its quality. Moreover, 13 and 16 major compounds were identified as marker compounds for the discrimination of CR from different origins, storage time and kneading processing, respectively. Furthermore, the relative content of the marker components and the exact content of Lobetyolin were measured, indicating that the contents of these components vary significantly between various CR samples. Meanwhile, the chemical components of CR were identified using Mass spectrometry. According to the findings of our investigation, the quality of CR from Gansu was the best, followed by Shanxi and then Sichuan. The quality of CR from Chongqing and Guizhou was poor. At the same time, the quality of CR was the best when it was kneaded and stored for 0 years, indicating that the traditional kneading process of CR is of great significance. Conclusively, HPLC fingerprint in conjunction with chemical pattern recognition and component content determination can be employed to differentiate the raw materials of different CR samples. Additionally, it is also a reliable, comprehensive and prospective method for quality control and evaluation of CR. |
format | Online Article Text |
id | pubmed-10343490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103434902023-07-14 Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics Liu, Xuxia Chen, Zhengjun Wang, Xin Luo, Wenrong Yang, Fude Molecules Article In China, Codonopsis Radix (CR) is frequently consumed both as food and medicine. Here, a comprehensive strategy based on fingerprinting and chemometric approaches was created to explore the influence of origins, storage time and kneading processing on the quality of CR. Firstly, high-performance liquid chromatography with diode array detection was used to obtain the fingerprints of 35 batches of CR from six different origins and 33 batches of CR from varying storage times or kneading procedures. Secondly, chemometric methods including similarity analysis (SA), principal component analysis (PCA), hierarchical clustering analysis (HCA), and two-way orthogonal partial least square with discriminant analysis (O2PLS—DA) were used to evaluate the differences of chemical components in CR so as to identify its source and reflect its quality. Moreover, 13 and 16 major compounds were identified as marker compounds for the discrimination of CR from different origins, storage time and kneading processing, respectively. Furthermore, the relative content of the marker components and the exact content of Lobetyolin were measured, indicating that the contents of these components vary significantly between various CR samples. Meanwhile, the chemical components of CR were identified using Mass spectrometry. According to the findings of our investigation, the quality of CR from Gansu was the best, followed by Shanxi and then Sichuan. The quality of CR from Chongqing and Guizhou was poor. At the same time, the quality of CR was the best when it was kneaded and stored for 0 years, indicating that the traditional kneading process of CR is of great significance. Conclusively, HPLC fingerprint in conjunction with chemical pattern recognition and component content determination can be employed to differentiate the raw materials of different CR samples. Additionally, it is also a reliable, comprehensive and prospective method for quality control and evaluation of CR. MDPI 2023-06-29 /pmc/articles/PMC10343490/ /pubmed/37446787 http://dx.doi.org/10.3390/molecules28135127 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Xuxia Chen, Zhengjun Wang, Xin Luo, Wenrong Yang, Fude Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics |
title | Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics |
title_full | Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics |
title_fullStr | Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics |
title_full_unstemmed | Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics |
title_short | Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics |
title_sort | quality assessment and classification of codonopsis radix based on fingerprints and chemometrics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10343490/ https://www.ncbi.nlm.nih.gov/pubmed/37446787 http://dx.doi.org/10.3390/molecules28135127 |
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