JOURNAL ARTICLE

Analysis of 12 Chemical Compounds And Pattern Recognition of Different Parts of Angelicae Sinensis Radix by Liquid Chromatography–Tandem Mass Spectrometry And Chemometrics Methods.

  • Published In: Journal of Chromatographic Science, 2023, v. 61, n. 2. P. 103 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zhao, Shuang-Li; Fu, Fei; Yu, Bo-Yang; Li, Ren-Shi 3 of 3

Abstract

This article focuses on the development and application of a high-performance liquid chromatography coupled with triple quadrupole mass spectrometry (HPLC-QqQ-MS/MS) method to quantitatively analyze 12 bioactive compounds in different parts of Angelicae Sinensis Radix (ASR), a traditional Chinese medicine known as "women ginseng." The study found that hydrophilic compounds, including amino acids, were predominantly concentrated in the head of ASR, while medium and weakly polar compounds such as organic acids and volatile oils were mainly found in the tail, correlating with their traditional medicinal uses. Principal component analysis (PCA) based on hydrophilic compounds effectively distinguished the different medicinal parts of ASR, supporting their chemical and pharmacological differentiation. These findings provide a scientific basis for the clinical selection and quality control of ASR parts and demonstrate the utility of HPLC-QqQ-MS/MS combined with PCA as a reliable tool for evaluating multi-part herbal medicines.

Additional Information

  • Source:Journal of Chromatographic Science. 2023/02, Vol. 61, Issue 2, p103
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2023
  • ISSN:0021-9665
  • DOI:10.1093/chromsci/bmac098
  • Accession Number:161742921
  • Copyright Statement:Copyright of Journal of Chromatographic Science is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.