Technical Approach for Structural Analysis of an Unknown Compound in Huoxiang Zhengqi Oral Liquid based on Linear Ion Trap Mass Spectrometry

Chinese herbal compounds (CHCs) play an irreplaceable role in Chinese medicine, and identifying their complex constituents has been a significant research focus in recent years. Huoxiang Zhengqi oral liquid is a classic Chinese patent medicine whose chemical composition requires further investigation at the molecular level. Traditional mass spectrometers, such as time-of-flight and Orbitrap, typically only provide secondary fragmentation information. Based on a linear ion trap mass spectrometer, compounds could be broken down more thoroughly, thereby obtaining deeper fragment information. This paper develops a structural exploration technique for unknown compounds in CHCs, encompassing sample pretreatment, ultra-performance liquid chromatography preparation, mass spectrometry preparation, full-spectrum testing, secondary mass spectrometry testing, multi-level mass spectrometry testing, and result analysis. Representative results demonstrate the derivation process of the compound structure. We discuss factors influencing the experimental technique, such as isomers, polyhydroxy compounds, and instrument resolution. Based on the derivation of the microscopic molecular structure of unknown compounds through multistage mass spectrometry fragmentation, the established experimental method is versatile and applicable for structural characterization of bioactive small molecules in traditional Chinese medicine and their linkage to pharmacological mechanisms.

Authors

Institutions

Publication Details

Journal
Journal of Visualized Experiments
Published
2026-04-03
DOI
https://doi.org/10.3791/70672
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technical Approach for Structural Analysis of an Unknown Compound in Huoxiang Zhengqi Oral Liquid based on Linear Ion Trap Mass Spectrometry

Deming Liu, Jie Peng, Lin Liu, Peng Tao et al.
Journal of Visualized Experiments
Traditional Chinese Medicine Analysis
article

Technical Approach for Structural Analysis of an Unknown Compound in Huoxiang Zhengqi Oral Liquid based on Linear Ion Trap Mass Spectrometry

Deming Liu, Jie Peng, Lin Liu, Peng Tao, Xi Chen, Chunyan Zhou, Xue Jiang
article en

Abstract

Chinese herbal compounds (CHCs) play an irreplaceable role in Chinese medicine, and identifying their complex constituents has been a significant research focus in recent years. Huoxiang Zhengqi oral liquid is a classic Chinese patent medicine whose chemical composition requires further investigation at the molecular level. Traditional mass spectrometers, such as time-of-flight and Orbitrap, typically only provide secondary fragmentation information. Based on a linear ion trap mass spectrometer, compounds could be broken down more thoroughly, thereby obtaining deeper fragment information. This paper develops a structural exploration technique for unknown compounds in CHCs, encompassing sample pretreatment, ultra-performance liquid chromatography preparation, mass spectrometry preparation, full-spectrum testing, secondary mass spectrometry testing, multi-level mass spectrometry testing, and result analysis. Representative results demonstrate the derivation process of the compound structure. We discuss factors influencing the experimental technique, such as isomers, polyhydroxy compounds, and instrument resolution. Based on the derivation of the microscopic molecular structure of unknown compounds through multistage mass spectrometry fragmentation, the established experimental method is versatile and applicable for structural characterization of bioactive small molecules in traditional Chinese medicine and their linkage to pharmacological mechanisms.

Journal of Visualized Experiments(230)
Wuxi Taiji industry (China) (CN), First People's Hospital of Chongqing (CN)
Openalex Percentile: Top 27%
Traditional Chinese Medicine Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.