Fei Sha , Jianqing Zhang , Cuicui Wang , Huiting Ou , Yun Li , Wenlong Wei , Changliang Yao , Qirui Bi , Xiaochi Ma , De-an Guo
{"title":"核心-多组分-微组分谱分析用于从草药到制剂的多来源和掺假的紫菀根的精确鉴别","authors":"Fei Sha , Jianqing Zhang , Cuicui Wang , Huiting Ou , Yun Li , Wenlong Wei , Changliang Yao , Qirui Bi , Xiaochi Ma , De-an Guo","doi":"10.1016/j.phymed.2025.156954","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The “one-to-multiple” phenomenon and counterfeiting are prevalent in herbal medicines. Accurately identifying these issues in both crude herbs and commercial formulated products is crucial for ensuring drug safety and efficacy. However, this task remains inherently challenging due to the complex nature of the matrices involved.</div></div><div><h3>Purpose</h3><div>This study aims to develop methodologies for the precise authentication of multi-sourced herbal medicines and their counterfeits, and to trace constituent species in commercial products.</div></div><div><h3>Methods</h3><div>This paper proposes an integrated strategy termed “Core-Multiplex-Micro (CMM) component profiling for precision discrimination amid multi-sources and adulterants”, using Arnebiae Radix as a case study. The strategy begins with the comparative analysis of primary component, shikonin derivatives, across two genuine species and three adulterants, employing a single standard to determine multi-components (SSDMC) approach. It then expands to include a broader range of mid- to low-abundance metabolites through fingerprinting-based classification. Subsequently, trace-level components are explored using LTQ-Orbitrap MS combined with metabolomics to authenticate the five species. Robust chemical markers are identified, validated, and translated to a cost-effective QDa MS platform for targeted detection. This tiered methodology was applied to authenticate 15 batches of commercially available raw materials and 10 batches of formulations.</div></div><div><h3>Results</h3><div>The study successfully distinguished between two authentic Arnebiae Radix species and three adulterants simultaneously for the first time. Through cross-validation, nine diagnostic chemical markers were identified and effectively transferred from the expensive LTQ-Orbitrap MS platform to a more cost-effective QDa MS system for practical use in commercial product traceability. The research revealed that 60% of raw Arnebiae Radix materials were authentic, while 30% of the formulations matched their labeled species composition.</div></div><div><h3>Conclusion</h3><div>This study sets a precedent for precise traceability for “one-to-multiple” and counterfeit products: tracing them from raw herbs to final formulations.</div></div>","PeriodicalId":20212,"journal":{"name":"Phytomedicine","volume":"145 ","pages":"Article 156954"},"PeriodicalIF":6.7000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Core-multiplex-micro component profiling for precision discrimination of multi-sources and adulterated arnebiae radix, from herbs to formulations\",\"authors\":\"Fei Sha , Jianqing Zhang , Cuicui Wang , Huiting Ou , Yun Li , Wenlong Wei , Changliang Yao , Qirui Bi , Xiaochi Ma , De-an Guo\",\"doi\":\"10.1016/j.phymed.2025.156954\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The “one-to-multiple” phenomenon and counterfeiting are prevalent in herbal medicines. Accurately identifying these issues in both crude herbs and commercial formulated products is crucial for ensuring drug safety and efficacy. However, this task remains inherently challenging due to the complex nature of the matrices involved.</div></div><div><h3>Purpose</h3><div>This study aims to develop methodologies for the precise authentication of multi-sourced herbal medicines and their counterfeits, and to trace constituent species in commercial products.</div></div><div><h3>Methods</h3><div>This paper proposes an integrated strategy termed “Core-Multiplex-Micro (CMM) component profiling for precision discrimination amid multi-sources and adulterants”, using Arnebiae Radix as a case study. The strategy begins with the comparative analysis of primary component, shikonin derivatives, across two genuine species and three adulterants, employing a single standard to determine multi-components (SSDMC) approach. It then expands to include a broader range of mid- to low-abundance metabolites through fingerprinting-based classification. Subsequently, trace-level components are explored using LTQ-Orbitrap MS combined with metabolomics to authenticate the five species. Robust chemical markers are identified, validated, and translated to a cost-effective QDa MS platform for targeted detection. This tiered methodology was applied to authenticate 15 batches of commercially available raw materials and 10 batches of formulations.</div></div><div><h3>Results</h3><div>The study successfully distinguished between two authentic Arnebiae Radix species and three adulterants simultaneously for the first time. Through cross-validation, nine diagnostic chemical markers were identified and effectively transferred from the expensive LTQ-Orbitrap MS platform to a more cost-effective QDa MS system for practical use in commercial product traceability. The research revealed that 60% of raw Arnebiae Radix materials were authentic, while 30% of the formulations matched their labeled species composition.</div></div><div><h3>Conclusion</h3><div>This study sets a precedent for precise traceability for “one-to-multiple” and counterfeit products: tracing them from raw herbs to final formulations.</div></div>\",\"PeriodicalId\":20212,\"journal\":{\"name\":\"Phytomedicine\",\"volume\":\"145 \",\"pages\":\"Article 156954\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Phytomedicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0944711325005926\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MEDICINAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Phytomedicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0944711325005926","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
Core-multiplex-micro component profiling for precision discrimination of multi-sources and adulterated arnebiae radix, from herbs to formulations
Background
The “one-to-multiple” phenomenon and counterfeiting are prevalent in herbal medicines. Accurately identifying these issues in both crude herbs and commercial formulated products is crucial for ensuring drug safety and efficacy. However, this task remains inherently challenging due to the complex nature of the matrices involved.
Purpose
This study aims to develop methodologies for the precise authentication of multi-sourced herbal medicines and their counterfeits, and to trace constituent species in commercial products.
Methods
This paper proposes an integrated strategy termed “Core-Multiplex-Micro (CMM) component profiling for precision discrimination amid multi-sources and adulterants”, using Arnebiae Radix as a case study. The strategy begins with the comparative analysis of primary component, shikonin derivatives, across two genuine species and three adulterants, employing a single standard to determine multi-components (SSDMC) approach. It then expands to include a broader range of mid- to low-abundance metabolites through fingerprinting-based classification. Subsequently, trace-level components are explored using LTQ-Orbitrap MS combined with metabolomics to authenticate the five species. Robust chemical markers are identified, validated, and translated to a cost-effective QDa MS platform for targeted detection. This tiered methodology was applied to authenticate 15 batches of commercially available raw materials and 10 batches of formulations.
Results
The study successfully distinguished between two authentic Arnebiae Radix species and three adulterants simultaneously for the first time. Through cross-validation, nine diagnostic chemical markers were identified and effectively transferred from the expensive LTQ-Orbitrap MS platform to a more cost-effective QDa MS system for practical use in commercial product traceability. The research revealed that 60% of raw Arnebiae Radix materials were authentic, while 30% of the formulations matched their labeled species composition.
Conclusion
This study sets a precedent for precise traceability for “one-to-multiple” and counterfeit products: tracing them from raw herbs to final formulations.
期刊介绍:
Phytomedicine is a therapy-oriented journal that publishes innovative studies on the efficacy, safety, quality, and mechanisms of action of specified plant extracts, phytopharmaceuticals, and their isolated constituents. This includes clinical, pharmacological, pharmacokinetic, and toxicological studies of herbal medicinal products, preparations, and purified compounds with defined and consistent quality, ensuring reproducible pharmacological activity. Founded in 1994, Phytomedicine aims to focus and stimulate research in this field and establish internationally accepted scientific standards for pharmacological studies, proof of clinical efficacy, and safety of phytomedicines.