title: Metabolic profiling of Angelica acutiloba roots utilizing gas chromatography-time-of-flight-mass spectrometry for quality assessment based on cultivation area and cultivar via multivariate pattern recognition.
abstract: Gas chromatography time-of-flight mass spectrometry was applied to elucidate the profiling of primary metabolites and to evaluate the differences between quality differences in Angelica acutiloba (or Yamato-toki) roots through the utilization of multivariate pattern recognition-principal component analysis (PCA). Twenty-two metabolites consisting of sugars, amino and organic acids were identified. PCA analysis successfully discriminated the good, the moderate and the bad quality Yamato-toki roots in accordance to their cultivation areas. The results signified two reducing sugars, fructose and glucose being the most accumulated in the bad quality, whereas higher quantity of phosphoric acid, proline, malic acid and citric acid were found in the good and the moderate quality toki roots. PCA was also effective in discriminating samples derive from different cultivars. Yamato-toki roots with the moderate quality were compared by means of PCA, and the results illustrated good discrimination which was influenced most by malic acid. Overall, this study demonstrated that metabolomics technique is accurate and efficient in determining the quality differences in Yamato-toki roots, and has a potential to be a superior and suitable method to assess the quality of this medicinal plant.
authors.affiliation: Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Osaka, Japan.
authors.forename: Sukanda
authors.initials: S
authors.lastname: Tianniam
authors.forename: Lucksanaporn
authors.initials: L
authors.lastname: Tarachiwin
authors.forename: Takeshi
authors.initials: T
authors.lastname: Bamba
authors.forename: Akio
authors.initials: A
authors.lastname: Kobayashi
authors.forename: Eiichiro
authors.initials: E
authors.lastname: Fukusaki
mesh_terms: D000465:Algorithms; D000596:Amino Acids / Q000032:analysis / Q000737:chemistry*; D029969:Angelica / Q000378:metabolism*; D001185:Artificial Intelligence; D002241:Carbohydrates / Q000032:analysis / Q000737:chemistry*; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods*; D015999:Multivariate Analysis; D009930:Organic Chemicals / Q000032:analysis / Q000737:chemistry; D010363:Pattern Recognition, Automated / Q000379:methods*; D018517:Plant Roots / Q000378:metabolism*; D025341:Principal Component Analysis; D011786:Quality Control
chemical_list: D000596:Amino Acids; D002241:Carbohydrates; D009930:Organic Chemicals