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Cited by 310

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Chemical markers for the quality control of herbal medicines: an overview

Open access
Li, Songlin, Han, Quanbin, Qiao, Chunfeng, Song, Jingzheng, Lung Cheng, Chuen, Xu, Hongxi·2008·Chinese Medicine

Abstract

Selection of chemical markers is crucial for the quality control of herbal medicines, including authentication of genuine species, harvesting the best quality raw materials, evaluation of post-harvesting handling, assessment of intermediates and finished products, and detection of harmful or toxic ingredients. Ideal chemical markers should be the therapeutic components of herbal medicines. However, for most herbal medicines, the therapeutic components have not been fully elucidated or easily monitored. Bioactive, characteristic, main, synergistic, correlative, toxic and general components may be selected. This article reviews the effective use of chemical markers in the quality control of herbal medicines including the selection criteria considering the roles and physicochemical factors which may affect the effective use of chemical markers.

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Crossref · 10.1186/1749-8546-3-7

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Metadata

Authors
Li, S., Han, Q., Qiao, C., Song, J., Lung Cheng, C., & Xu, H.
Venue
Chinese Medicine
Published
2008-06-28
Volume
3
Issue
1
Pages
7-7
ISSN
1749-8546 (ISSN-L)
OpenAlex
W2076515304
Cited by
310
References
45
FWCI
17.58
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Chemical markers for the quality control of herbal medicines: an overview. https://app.cochat.ai/papers/10.1186/1749-8546-3-7
The paper
Li, S., Han, Q., Qiao, C., Song, J., Lung Cheng, C., & Xu, H. (2008). Chemical markers for the quality control of herbal medicines: an overview. Chinese Medicine. https://doi.org/10.1186/1749-8546-3-7

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.