Multivariate analysis of pyrolysis mass spectra of Scutellaria baicalensis to identify its origin

Jin Gyun Lee, Min Seok Park, Johan Lim, Jeong Hill Park, Sung Won Kwon

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


To overcome the limit of morphological method for classification of herbal drug, a novel method to discriminate its origin using pyrolysis mass spectrometry-multivariate analysis was developed. This method was applied successfully to Scutellaria baicalensis Georgi, one of the most popular herbal drug in oriental countries. The ethylacetate soluble fractions were prepared by sonication from pulverized roots of S. baicalensis which were collected from various regions including Korea and China, and subjected to direct insertion probe (DIP) mass spectrometry to achieve mass spectra of pyrolizates of extracts. The probe temperature was elevated from 30 °C to 320 °C at increasing rate 64 °C/min, and the average mass spectrum calculated from total ion chromatography (TIC) was obtained. The relative peak intensities versus m/z were subjected to SAS program, and the training set (9 from Korea origin and 22 from China origin) was clustered two groups as its origin. In the test set, 11 samples among total 13 test sample were successfully classified according to their origin by developed method with accuracy of 85%.

Original languageEnglish (US)
Pages (from-to)303-307
Number of pages5
JournalKorean Journal of Pharmacognosy
Issue number4
StatePublished - Dec 2010


  • Multivariate analysis
  • Pyrolysis mass spectrometry
  • Scutellaria baicalensis

ASJC Scopus subject areas

  • Pharmacology
  • Pharmaceutical Science
  • Drug Discovery


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