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Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines
Herbal drugs or herbal medicines (HMs) have a long-standing history as natural remedies for preventing and curing diseases. HMs have garnered greater interest during the past decades due to their broad, synergistic actions on the physiological systems and relatively lower incidence of adverse events...
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/PMC9201489/ https://www.ncbi.nlm.nih.gov/pubmed/35721184 http://dx.doi.org/10.3389/fphar.2022.853023 |
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author | Noviana, Eka Indrayanto, Gunawan Rohman, Abdul |
author_facet | Noviana, Eka Indrayanto, Gunawan Rohman, Abdul |
author_sort | Noviana, Eka |
collection | PubMed |
description | Herbal drugs or herbal medicines (HMs) have a long-standing history as natural remedies for preventing and curing diseases. HMs have garnered greater interest during the past decades due to their broad, synergistic actions on the physiological systems and relatively lower incidence of adverse events, compared to synthetic drugs. However, assuring reproducible quality, efficacy, and safety from herbal drugs remains a challenging task. HMs typically consist of many constituents whose presence and quantity may vary among different sources of materials. Fingerprint analysis has emerged as a very useful technique to assess the quality of herbal drug materials and formulations for establishing standardized herbal products. Rather than using a single or two marker(s), fingerprinting techniques take great consideration of the complexity of herbal drugs by evaluating the whole chemical profile and extracting a common pattern to be set as a criterion for assessing the individual material or formulation. In this review, we described and assessed various fingerprinting techniques reported to date, which are applicable to the standardization and quality control of HMs. We also evaluated the application of multivariate data analysis or chemometrics in assisting the analysis of the complex datasets from the determination of HMs. To ensure that these methods yield reliable results, we reviewed the validation status of the methods and provided perspectives on those. Finally, we concluded by highlighting major accomplishments and presenting a gap analysis between the existing techniques and what is needed to continue moving forward. |
format | Online Article Text |
id | pubmed-9201489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92014892022-06-17 Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines Noviana, Eka Indrayanto, Gunawan Rohman, Abdul Front Pharmacol Pharmacology Herbal drugs or herbal medicines (HMs) have a long-standing history as natural remedies for preventing and curing diseases. HMs have garnered greater interest during the past decades due to their broad, synergistic actions on the physiological systems and relatively lower incidence of adverse events, compared to synthetic drugs. However, assuring reproducible quality, efficacy, and safety from herbal drugs remains a challenging task. HMs typically consist of many constituents whose presence and quantity may vary among different sources of materials. Fingerprint analysis has emerged as a very useful technique to assess the quality of herbal drug materials and formulations for establishing standardized herbal products. Rather than using a single or two marker(s), fingerprinting techniques take great consideration of the complexity of herbal drugs by evaluating the whole chemical profile and extracting a common pattern to be set as a criterion for assessing the individual material or formulation. In this review, we described and assessed various fingerprinting techniques reported to date, which are applicable to the standardization and quality control of HMs. We also evaluated the application of multivariate data analysis or chemometrics in assisting the analysis of the complex datasets from the determination of HMs. To ensure that these methods yield reliable results, we reviewed the validation status of the methods and provided perspectives on those. Finally, we concluded by highlighting major accomplishments and presenting a gap analysis between the existing techniques and what is needed to continue moving forward. Frontiers Media S.A. 2022-06-02 /pmc/articles/PMC9201489/ /pubmed/35721184 http://dx.doi.org/10.3389/fphar.2022.853023 Text en Copyright © 2022 Noviana, Indrayanto and Rohman. 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 Noviana, Eka Indrayanto, Gunawan Rohman, Abdul Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines |
title | Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines |
title_full | Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines |
title_fullStr | Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines |
title_full_unstemmed | Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines |
title_short | Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines |
title_sort | advances in fingerprint analysis for standardization and quality control of herbal medicines |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201489/ https://www.ncbi.nlm.nih.gov/pubmed/35721184 http://dx.doi.org/10.3389/fphar.2022.853023 |
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