4.5 Article

Simultaneous qualitative and quantitative evaluation of Toddalia asiatica root by using HPLC-DAD and UPLC-QTOF-MS/MS

Journal

PHYTOCHEMICAL ANALYSIS
Volume 30, Issue 2, Pages 164-181

Publisher

WILEY
DOI: 10.1002/pca.2802

Keywords

chemical marker; chemometric; fingerprint; quality evaluation; Toddalia asiatica; UPLC-QTOF-MS/MS

Funding

  1. Guangzhou Science Technology and Innovation Commission [201607010334]
  2. National Natural Science Foundation of China [81270054, 81673565]
  3. Science and Technology Planning Project of Guangdong Province [2016A020226031]
  4. Educational Commission of Guangdong Province, China [2016KTSCX019]

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Introduction Coumarin and alkaloids are the major bioactive constituents of Toddalia asiatica, playing an important role in various biological activities such as anti-inflammatory, analgesic, anti-bacterial and anti-tumour. Objective To establish a method that will simultaneously determine the coumarins and alkaloids compounds in T. asiatica and identify their characteristic fragmentation patterns, while combining fingerprints and chemical identification with chemometrics for discrimination and quality assessment of T. asiatica samples. Methodology Qualitative characterisation of coumarins and alkaloids compounds in the methanol extracts of T. asiatica was determined by ultra-high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-QTOF-MS/MS). Quantitative analysis relies on high-performance liquid chromatography with a diode array detector (HPLC-DAD). Results A total of 59 components were characterised by UPLC-QTOF-MS/MS, including 29 coumarin, 25 alkaloids, one phenolic acid and four flavonoids. While the 19 characteristic components out of 23 common peaks in the chromatographic fingerprints of T. asiatica were confirmed. Quantitative analysis of seven major compounds from 18 samples were simultaneously detected by HPLC-DAD at wavelengths of 280 nm. The samples were classified into three groups by hierarchical clustering analysis (HCA) combined with principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA) which screened out the main chemical markers responsible for the samples differences. Conclusion Fingerprints combined with chemometrics and chemical identification are a simple, rapid and effective method for the quality control of T. asiatica.

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