Trace element analysis in some Salvia species by inductively coupled plasma-mass spectrometry (ICP-MS) and chemometric approach


Tunay Z., Yener I., VARHAN ORAL E., Demirkoz A. B., Tokul-Olmez O., Fırat M., ...Daha Fazla

JOURNAL OF RESEARCH IN PHARMACY, cilt.24, sa.2, ss.297-309, 2020 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 2
  • Basım Tarihi: 2020
  • Doi Numarası: 10.35333/jrp.2020.146
  • Dergi Adı: JOURNAL OF RESEARCH IN PHARMACY
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.297-309
  • Anahtar Kelimeler: Salvia, trace element, ICP-MS, PCA, MEDICINAL HERBS, MULTIELEMENT ANALYSIS, ANTIOXIDANT ACTIVITY, ESSENTIAL OIL, HEAVY-METALS, SPICES, PLANTS, IONS, FAAS, L.
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

Özet

In this study, the sterns, leaves, flowers, roots and mixed all parts of five Salvia species were analyzed for their trace element (Li, Be, V, Cr, Co, Ni, Cu, Zn, As, Se, Rh, Sr, Ag, Cd, Cs, Ba, Hg, TI, Pb, and U) contents using ICP-MS. The seeds, roots leaves, flowers, and mixed parts of each species were digested by concentrated nitric acid and hydrogen peroxide in a microwave by before ICP-MS the analysis. The accuracy and precision of the method were evaluated by CRM 1573a Tomato Leaves. Trace element contents in different parts of each sample were compared. Concentration of toxic elements (As, Cd, Hg and Pb) were lower than those declared by WHO, except Cr content. Cr content in the root sections of Salvia suffruticosa (SFR), S. hydrangea (SHR), S. trichoclada (STR), S. xanthocheila (SXR), leaf samples of S. kronenburgii (SKL) and S. xanthocheila (SXL). also the Cr content in the leaf sections of Salvia kronenburgii (SKL) Salvia xanthocheila (SXL) was found high. When consider the daily metal (Zn, Cu, Sr, Ba and Ni) needs It was concluded that these Salvia species can be nutritive sources. In addition, Salvia samples were classified by utilizing chemometric techniques such as Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA). While the first two main components explained 55.30% of the total variance, the first six main components explained 89.60% of total variance