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Investigation of market herbal products regulated under different categories: How can HPTLC help to detect quality problems?
Background: Herbal products regulated under different categories were found to be of different quality. This has been demonstrated by the increasing number of reports on the quality of herbal products in the scientific literature. Proper identification is an effective way to address this concerning...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393483/ https://www.ncbi.nlm.nih.gov/pubmed/36003516 http://dx.doi.org/10.3389/fphar.2022.925298 |
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author | Frommenwiler, Débora A. Reich, Eike Sharaf, Maged H. M. Cañigueral, Salvador Etheridge, Christopher J. |
author_facet | Frommenwiler, Débora A. Reich, Eike Sharaf, Maged H. M. Cañigueral, Salvador Etheridge, Christopher J. |
author_sort | Frommenwiler, Débora A. |
collection | PubMed |
description | Background: Herbal products regulated under different categories were found to be of different quality. This has been demonstrated by the increasing number of reports on the quality of herbal products in the scientific literature. Proper identification is an effective way to address this concerning issue early on in a products’ manufacturing process. Objectives: To assess the quality of milk thistle, coneflower and black cohosh herbal drugs, preparations and products commercialized under different regulatory categories, and to illustrate the usefulness of HPTLC as a tool for evaluating quality. Methods: HPTLC methods were adapted from the European Pharmacopeia’s monographs for milk thistle fruits, black cohosh and purple coneflower. Additional detection modes beyond those described in the monographs were employed, and the entire HPTLC fingerprints were used for examination of identity and purity of the investigated samples. Results: All products regulated as Traditional Herbal Medicinal Products were shown to be of high quality: their fingerprints were consistent and without unexpected zones. A significant number of food supplements show quality issues (mainly adulterations): 52.4% of milk thistle, 33.3% of coneflower, and 45.5% of black cohosh products. The same was observed in 66.6% of black cohosh herbal drugs and preparations. |
format | Online Article Text |
id | pubmed-9393483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93934832022-08-23 Investigation of market herbal products regulated under different categories: How can HPTLC help to detect quality problems? Frommenwiler, Débora A. Reich, Eike Sharaf, Maged H. M. Cañigueral, Salvador Etheridge, Christopher J. Front Pharmacol Pharmacology Background: Herbal products regulated under different categories were found to be of different quality. This has been demonstrated by the increasing number of reports on the quality of herbal products in the scientific literature. Proper identification is an effective way to address this concerning issue early on in a products’ manufacturing process. Objectives: To assess the quality of milk thistle, coneflower and black cohosh herbal drugs, preparations and products commercialized under different regulatory categories, and to illustrate the usefulness of HPTLC as a tool for evaluating quality. Methods: HPTLC methods were adapted from the European Pharmacopeia’s monographs for milk thistle fruits, black cohosh and purple coneflower. Additional detection modes beyond those described in the monographs were employed, and the entire HPTLC fingerprints were used for examination of identity and purity of the investigated samples. Results: All products regulated as Traditional Herbal Medicinal Products were shown to be of high quality: their fingerprints were consistent and without unexpected zones. A significant number of food supplements show quality issues (mainly adulterations): 52.4% of milk thistle, 33.3% of coneflower, and 45.5% of black cohosh products. The same was observed in 66.6% of black cohosh herbal drugs and preparations. Frontiers Media S.A. 2022-08-08 /pmc/articles/PMC9393483/ /pubmed/36003516 http://dx.doi.org/10.3389/fphar.2022.925298 Text en Copyright © 2022 Frommenwiler, Reich, Sharaf, Cañigueral and Etheridge. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Frommenwiler, Débora A. Reich, Eike Sharaf, Maged H. M. Cañigueral, Salvador Etheridge, Christopher J. Investigation of market herbal products regulated under different categories: How can HPTLC help to detect quality problems? |
title | Investigation of market herbal products regulated under different categories: How can HPTLC help to detect quality problems? |
title_full | Investigation of market herbal products regulated under different categories: How can HPTLC help to detect quality problems? |
title_fullStr | Investigation of market herbal products regulated under different categories: How can HPTLC help to detect quality problems? |
title_full_unstemmed | Investigation of market herbal products regulated under different categories: How can HPTLC help to detect quality problems? |
title_short | Investigation of market herbal products regulated under different categories: How can HPTLC help to detect quality problems? |
title_sort | investigation of market herbal products regulated under different categories: how can hptlc help to detect quality problems? |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393483/ https://www.ncbi.nlm.nih.gov/pubmed/36003516 http://dx.doi.org/10.3389/fphar.2022.925298 |
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