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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
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.
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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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