Evidence map›Paper›PMID 41840690›Full record

ArticleChinese medicine2026

Online real-time mass spectrometry-driven dynamic monitoring and optimal endpoint prediction schema development for herbal medicine decoction process.

Junxian Wu, Liping Kang, Yutong Hua, Xiang Li, Zidong Qiu, Luqi Huang

Abstract read
In one paragraph

Article in Chinese medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Junxian WuSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Liping KangState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Yutong HuaState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Xiang LiState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Zidong QiuState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China. qiuzidong@126.com.
Luqi HuangSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China. huangluqi01@126.com.

Funding

National Natural Science Foundation of China 82104380National Natural Science Foundation of China No. 82574569
6 · The paper itself

Abstract

backgroundThe decoction process of compound formulae is a critical procedure in traditional herbal medicine for reducing toxicity and preserving efficacy. However, due to the high complexity of herb ingredients and chemical constituents in the formulae, precise real-time monitoring of the dynamic changes in the decoction system and accurately predicting its optimal endpoint remain significant challenges that current technologies struggle to address. PURPOSE: To develop an online real-time mass spectrometry (ORT-MS)-driven strategy for real-time monitoring complex components during the decoction of compound formulae, and to establish a validated schema for predicting the optimal decoction endpoint, using Zhenwu Decoction as a case study.

resultsA novel ORT-MS monitoring device was established successfully, enabling continuous long-term (> 240 min) MS monitoring of various compounds in Zhenwu Decoction. By quantitatively tracking the decoction profiles of key toxic (e.g., hypaconitine) and bioactive (e.g., benzoylhypaconitine) compounds, a method for evaluating overall toxicity/bioactivity of the decoction was built. Furthermore, a comprehensive schema for determining the optimal decoction endpoint was proposed, integrating five-dimension: safety, bioactivity, time, energy consumption, and financial cost (SBTEF). The results demonstrated, under the experimental conditions and dosage adopted in this study, that the optimal decoction endpoint for Zhenwu Decoction is about 150 min when all factors are considered.

conclusionThis study proposes a universal MS-driven real-time analysis strategy and endpoint prediction schema for herbal medicine decoction process, providing a novel scientific tool for decoction quality evaluation (especially toxicity attenuation/efficacy preservation) to promote herbal medicine quality and rational clinical use.

Indexed as

Decoction endpointDynamic monitoringOnline real-time mass spectrometryToxicity attenuation and efficacy preservationZhenwu Decoction

Identifiers

PMID41840690
PMCPMC12990406

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