Non-targeted metabolite fingerprinting of oriental folk medicine Angelica acutiloba roots by ultra performance liquid chromatography time-of-flight mass spectrometry

Sukanda Tianniam, Takeshi Bamba, Eiichiro Fukusaki

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

The potential of ultra-performance (UP)LC-TOF-MS based metabolite fingerprinting was explored in the attempt to establish a standard methodology for the quality control of dried angelica roots (Angelica acutiloba) in commercial markets. Accurate mass chromatographic fingerprints of positive and negative ion modes were collected simultaneously at a high-throughput manner with high resolution and sensitivity, where analysis of hydrophobic, low molecular weight compounds, which includes secondary metabolites, could be achieved. The comparison of various metabolite profiles was performed through the use of chemometric technique, in which distinct partitioning of root samples was effectively achieved by principal component analysis. The discrimination was illustrated to have been subjective to cultivation area and was reported to be an important influential factor for quality determination. Further insights to the chemical constituents in relation to quality were attained where some ion markers significantly linked to dissociation of angelica roots were tentatively identified as some secondary metabolites. Reliable classification models by partial least square discriminant analysis gave good capability in categorizing test set samples. Overall, through the utilization of UPLC-TOF-MS, analysis could be attained with great sufficiency and accuracy for angelica root discrimination.

Original languageEnglish
Pages (from-to)2233-2244
Number of pages12
JournalJournal of Separation Science
Volume32
Issue number13
DOIs
Publication statusPublished - Sep 22 2009
Externally publishedYes

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Liquid chromatography
Metabolites
Medicine
Mass spectrometry
Discriminant analysis
Principal component analysis
Sensitivity analysis
Quality control
Negative ions
Positive ions
Molecular weight
Throughput
Ions

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Filtration and Separation

Cite this

Non-targeted metabolite fingerprinting of oriental folk medicine Angelica acutiloba roots by ultra performance liquid chromatography time-of-flight mass spectrometry. / Tianniam, Sukanda; Bamba, Takeshi; Fukusaki, Eiichiro.

In: Journal of Separation Science, Vol. 32, No. 13, 22.09.2009, p. 2233-2244.

Research output: Contribution to journalArticle

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