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Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS)
Panax notoginseng is an important functional health product, and has been used worldwide because of a wide range of pharmacological activities, of which the taproot is the main edible or medicinal part. However, the technologies for origin discrimination still need to be further studied. In this stu...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105934/ https://www.ncbi.nlm.nih.gov/pubmed/35566332 http://dx.doi.org/10.3390/molecules27092982 |
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author | Ji, Chao Liu, Jinyu Zhang, Qin Li, Juan Wu, Zhiqiang Wang, Xingyu Xie, Yuxin Zhao, Jiangchao Shi, Rui Ma, Xing Khan, Mohammad Rizwan Busquets, Rosa He, Xiahong Zhu, Youyong Zhu, Shusheng Zheng, Wenjie |
author_facet | Ji, Chao Liu, Jinyu Zhang, Qin Li, Juan Wu, Zhiqiang Wang, Xingyu Xie, Yuxin Zhao, Jiangchao Shi, Rui Ma, Xing Khan, Mohammad Rizwan Busquets, Rosa He, Xiahong Zhu, Youyong Zhu, Shusheng Zheng, Wenjie |
author_sort | Ji, Chao |
collection | PubMed |
description | Panax notoginseng is an important functional health product, and has been used worldwide because of a wide range of pharmacological activities, of which the taproot is the main edible or medicinal part. However, the technologies for origin discrimination still need to be further studied. In this study, an ICP-MS/MS method for the accurate determination of 49 elements was established, whereby the instrumental detection limits (LODs) were between 0.0003 and 7.716 mg/kg, whereas the quantification limits (LOQs) were between 0.0011 and 25.7202 mg/kg, recovery of the method was in the range of 85.82% to 104.98%, and the relative standard deviations (RSDs) were lower than 10%. Based on the content of multi-element in P. notoginseng (total of 89 mixed samples), the discriminant models of origins and cultivation models were accurately determined by the neural networks (prediction accuracy was 0.9259 and area under ROC curve was 0.9750) and the support vector machine algorithm (both 1.0000), respectively. The discriminant models established in this study could be used to support transparency and traceability of supply chains of P. notoginseng and thus avoid the fraud of geographic identification. |
format | Online Article Text |
id | pubmed-9105934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91059342022-05-14 Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS) Ji, Chao Liu, Jinyu Zhang, Qin Li, Juan Wu, Zhiqiang Wang, Xingyu Xie, Yuxin Zhao, Jiangchao Shi, Rui Ma, Xing Khan, Mohammad Rizwan Busquets, Rosa He, Xiahong Zhu, Youyong Zhu, Shusheng Zheng, Wenjie Molecules Article Panax notoginseng is an important functional health product, and has been used worldwide because of a wide range of pharmacological activities, of which the taproot is the main edible or medicinal part. However, the technologies for origin discrimination still need to be further studied. In this study, an ICP-MS/MS method for the accurate determination of 49 elements was established, whereby the instrumental detection limits (LODs) were between 0.0003 and 7.716 mg/kg, whereas the quantification limits (LOQs) were between 0.0011 and 25.7202 mg/kg, recovery of the method was in the range of 85.82% to 104.98%, and the relative standard deviations (RSDs) were lower than 10%. Based on the content of multi-element in P. notoginseng (total of 89 mixed samples), the discriminant models of origins and cultivation models were accurately determined by the neural networks (prediction accuracy was 0.9259 and area under ROC curve was 0.9750) and the support vector machine algorithm (both 1.0000), respectively. The discriminant models established in this study could be used to support transparency and traceability of supply chains of P. notoginseng and thus avoid the fraud of geographic identification. MDPI 2022-05-06 /pmc/articles/PMC9105934/ /pubmed/35566332 http://dx.doi.org/10.3390/molecules27092982 Text en © 2022 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 Ji, Chao Liu, Jinyu Zhang, Qin Li, Juan Wu, Zhiqiang Wang, Xingyu Xie, Yuxin Zhao, Jiangchao Shi, Rui Ma, Xing Khan, Mohammad Rizwan Busquets, Rosa He, Xiahong Zhu, Youyong Zhu, Shusheng Zheng, Wenjie Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS) |
title | Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS) |
title_full | Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS) |
title_fullStr | Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS) |
title_full_unstemmed | Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS) |
title_short | Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS) |
title_sort | multi-element analysis and origin discrimination of panax notoginseng based on inductively coupled plasma tandem mass spectrometry (icp-ms/ms) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105934/ https://www.ncbi.nlm.nih.gov/pubmed/35566332 http://dx.doi.org/10.3390/molecules27092982 |
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