Advances in research on novel technologies for the detection of exogenous contaminants in traditional Chinese medicine
Exogenous contaminants in traditional Chinese medicine (TCM), including pesticide residues, heavy metals, mycotoxins, and sulfur dioxide residues, pose significant risks to human health and environmental safety. Conventional detection methods are limited by insufficient sensitivity, complex sample p...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Pharmacology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2025.1658241/full |
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| author | Ziyu Guo Junyao Li Lina Zeng Ping Wang Meifang Li Chang Su Shuhong Wang |
| author_facet | Ziyu Guo Junyao Li Lina Zeng Ping Wang Meifang Li Chang Su Shuhong Wang |
| author_sort | Ziyu Guo |
| collection | DOAJ |
| description | Exogenous contaminants in traditional Chinese medicine (TCM), including pesticide residues, heavy metals, mycotoxins, and sulfur dioxide residues, pose significant risks to human health and environmental safety. Conventional detection methods are limited by insufficient sensitivity, complex sample preparation, and challenges in multi-residue analysis, compromising accuracy and efficiency. To address these critical bottlenecks—particularly the escalating regulatory demands and trade barriers due to contamination incidents—this review establishes the first integrated ‘dual track’ quality control framework for TCM contaminants. We propose a novel risk stratified strategy synergizing laboratory grade accuracy with field deployable screening, overcoming the sensitivity portability trade-off. This work provides a roadmap for establishing globally harmonized standards. Future research should prioritize high-throughput methods, intelligent analytics, and green detection technologies. Integrating AI-driven automation with data traceability could establish unified systems for contaminant detection and degradation, enhancing TCM quality control and global competitiveness. |
| format | Article |
| id | doaj-art-85e0995a7de24be3a24a50733c19b331 |
| institution | DOAJ |
| issn | 1663-9812 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pharmacology |
| spelling | doaj-art-85e0995a7de24be3a24a50733c19b3312025-08-20T03:02:52ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122025-08-011610.3389/fphar.2025.16582411658241Advances in research on novel technologies for the detection of exogenous contaminants in traditional Chinese medicineZiyu GuoJunyao LiLina ZengPing WangMeifang LiChang SuShuhong WangExogenous contaminants in traditional Chinese medicine (TCM), including pesticide residues, heavy metals, mycotoxins, and sulfur dioxide residues, pose significant risks to human health and environmental safety. Conventional detection methods are limited by insufficient sensitivity, complex sample preparation, and challenges in multi-residue analysis, compromising accuracy and efficiency. To address these critical bottlenecks—particularly the escalating regulatory demands and trade barriers due to contamination incidents—this review establishes the first integrated ‘dual track’ quality control framework for TCM contaminants. We propose a novel risk stratified strategy synergizing laboratory grade accuracy with field deployable screening, overcoming the sensitivity portability trade-off. This work provides a roadmap for establishing globally harmonized standards. Future research should prioritize high-throughput methods, intelligent analytics, and green detection technologies. Integrating AI-driven automation with data traceability could establish unified systems for contaminant detection and degradation, enhancing TCM quality control and global competitiveness.https://www.frontiersin.org/articles/10.3389/fphar.2025.1658241/fullChinese materia medicaexogenous contaminantsnovel technologies and methodsbiosensorquality of traditional Chinese medicine |
| spellingShingle | Ziyu Guo Junyao Li Lina Zeng Ping Wang Meifang Li Chang Su Shuhong Wang Advances in research on novel technologies for the detection of exogenous contaminants in traditional Chinese medicine Frontiers in Pharmacology Chinese materia medica exogenous contaminants novel technologies and methods biosensor quality of traditional Chinese medicine |
| title | Advances in research on novel technologies for the detection of exogenous contaminants in traditional Chinese medicine |
| title_full | Advances in research on novel technologies for the detection of exogenous contaminants in traditional Chinese medicine |
| title_fullStr | Advances in research on novel technologies for the detection of exogenous contaminants in traditional Chinese medicine |
| title_full_unstemmed | Advances in research on novel technologies for the detection of exogenous contaminants in traditional Chinese medicine |
| title_short | Advances in research on novel technologies for the detection of exogenous contaminants in traditional Chinese medicine |
| title_sort | advances in research on novel technologies for the detection of exogenous contaminants in traditional chinese medicine |
| topic | Chinese materia medica exogenous contaminants novel technologies and methods biosensor quality of traditional Chinese medicine |
| url | https://www.frontiersin.org/articles/10.3389/fphar.2025.1658241/full |
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