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Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials
Geographical origin and authenticity are two core factors to promote the development of traditional Chinese medicine (TCM) herbs perception in terms of quality and price. Therefore, they are important to both sellers and consumers. Herein, we propose an efficient, accurate method for discrimination...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171747/ https://www.ncbi.nlm.nih.gov/pubmed/35754890 http://dx.doi.org/10.1039/d2ra02040h |
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author | Fang, Huan Chen, Yue Wu, Hai-Long Chen, Yao Wang, Tong Yang, Jian Fu, Hai-Yan Yang, Xiao-Long Li, Xu-Fu Yu, Ru-Qin |
author_facet | Fang, Huan Chen, Yue Wu, Hai-Long Chen, Yao Wang, Tong Yang, Jian Fu, Hai-Yan Yang, Xiao-Long Li, Xu-Fu Yu, Ru-Qin |
author_sort | Fang, Huan |
collection | PubMed |
description | Geographical origin and authenticity are two core factors to promote the development of traditional Chinese medicine (TCM) herbs perception in terms of quality and price. Therefore, they are important to both sellers and consumers. Herein, we propose an efficient, accurate method for discrimination of genuine and non-authentic producing areas of TCM by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Take Atractylodes macrocephala Koidz (AMK) of compositae as an example, the MALDI-TOF MS spectra data of 120 AMK samples aided by principal component analysis-linear discriminant analysis (PCA-LDA), partial least squares discriminant analysis (PLS-DA) and random forest (RF) successfully differentiated Zhejiang province, Anhui province and Hunan province AMK according to their geographical location of origin. The correct classification rates of test set were above 93.3%. Furthermore, 5 recollected AMK samples were used to verify the performance of the classification models. The outcome of this study can be a good resource in building a database for AMK. The combined utility of MALDI-TOF MS and chemometrics is expected to be expanded and applied to the origin traceability of other TCMs. |
format | Online Article Text |
id | pubmed-9171747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-91717472022-06-23 Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials Fang, Huan Chen, Yue Wu, Hai-Long Chen, Yao Wang, Tong Yang, Jian Fu, Hai-Yan Yang, Xiao-Long Li, Xu-Fu Yu, Ru-Qin RSC Adv Chemistry Geographical origin and authenticity are two core factors to promote the development of traditional Chinese medicine (TCM) herbs perception in terms of quality and price. Therefore, they are important to both sellers and consumers. Herein, we propose an efficient, accurate method for discrimination of genuine and non-authentic producing areas of TCM by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Take Atractylodes macrocephala Koidz (AMK) of compositae as an example, the MALDI-TOF MS spectra data of 120 AMK samples aided by principal component analysis-linear discriminant analysis (PCA-LDA), partial least squares discriminant analysis (PLS-DA) and random forest (RF) successfully differentiated Zhejiang province, Anhui province and Hunan province AMK according to their geographical location of origin. The correct classification rates of test set were above 93.3%. Furthermore, 5 recollected AMK samples were used to verify the performance of the classification models. The outcome of this study can be a good resource in building a database for AMK. The combined utility of MALDI-TOF MS and chemometrics is expected to be expanded and applied to the origin traceability of other TCMs. The Royal Society of Chemistry 2022-06-07 /pmc/articles/PMC9171747/ /pubmed/35754890 http://dx.doi.org/10.1039/d2ra02040h Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Chemistry Fang, Huan Chen, Yue Wu, Hai-Long Chen, Yao Wang, Tong Yang, Jian Fu, Hai-Yan Yang, Xiao-Long Li, Xu-Fu Yu, Ru-Qin Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials |
title | Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials |
title_full | Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials |
title_fullStr | Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials |
title_full_unstemmed | Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials |
title_short | Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials |
title_sort | matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of chinese medicinal materials |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171747/ https://www.ncbi.nlm.nih.gov/pubmed/35754890 http://dx.doi.org/10.1039/d2ra02040h |
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