Multivariate characterization of herbal drugs and rhizosphere soil samples according to their metallic content
Samo za registrovane korisnike
2006
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Seven herbal drugs and corresponding rhizosphere soil samples from the plantation near Belgrade were analyzed for mineral content. Eleven metals (Cu, Zn, Mn, Fe, Cr, Ni, Pb, Cd, Ca, K and Mg) were selected as chemical features/descriptors and analyzed by FAAS/FAES and ETAAS. In a chemometrics evaluation of investigated plants-soil system, univariate, as well as multivariate statistics methods were applied. Principal component analysis (PCA) allowed considerable reduction in a number of variables and the detection of structure in the relationships between metals that give complementary information about the relations and elemental patterns within plants-soil system. The power of chemometrics was also used in exploring the potential natural and/or anthropogenic sources responsible for metal content in both medicinal plants and soil samples. Hierarchical cluster analysis (HCA) was used to explore herbal drugs grouping according to corresponding soil samples as additional information to th...e output obtained by PCA.
Ključne reči:
herbal drugs / rhizosphere soil / metallic content / multivariate characterizationIzvor:
Microchemical Journal, 2006, 84, 1-2, 93-101Izdavač:
- Elsevier Science BV, Amsterdam
DOI: 10.1016/j.microc.2006.05.008
ISSN: 0026-265X
WoS: 000240428800016
Scopus: 2-s2.0-33747144242
Institucija/grupa
PharmacyTY - JOUR AU - Ražić, Slavica AU - Đogo-Mračević, Svetlana AU - Slavković, Latinka PY - 2006 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/686 AB - Seven herbal drugs and corresponding rhizosphere soil samples from the plantation near Belgrade were analyzed for mineral content. Eleven metals (Cu, Zn, Mn, Fe, Cr, Ni, Pb, Cd, Ca, K and Mg) were selected as chemical features/descriptors and analyzed by FAAS/FAES and ETAAS. In a chemometrics evaluation of investigated plants-soil system, univariate, as well as multivariate statistics methods were applied. Principal component analysis (PCA) allowed considerable reduction in a number of variables and the detection of structure in the relationships between metals that give complementary information about the relations and elemental patterns within plants-soil system. The power of chemometrics was also used in exploring the potential natural and/or anthropogenic sources responsible for metal content in both medicinal plants and soil samples. Hierarchical cluster analysis (HCA) was used to explore herbal drugs grouping according to corresponding soil samples as additional information to the output obtained by PCA. PB - Elsevier Science BV, Amsterdam T2 - Microchemical Journal T1 - Multivariate characterization of herbal drugs and rhizosphere soil samples according to their metallic content VL - 84 IS - 1-2 SP - 93 EP - 101 DO - 10.1016/j.microc.2006.05.008 ER -
@article{ author = "Ražić, Slavica and Đogo-Mračević, Svetlana and Slavković, Latinka", year = "2006", abstract = "Seven herbal drugs and corresponding rhizosphere soil samples from the plantation near Belgrade were analyzed for mineral content. Eleven metals (Cu, Zn, Mn, Fe, Cr, Ni, Pb, Cd, Ca, K and Mg) were selected as chemical features/descriptors and analyzed by FAAS/FAES and ETAAS. In a chemometrics evaluation of investigated plants-soil system, univariate, as well as multivariate statistics methods were applied. Principal component analysis (PCA) allowed considerable reduction in a number of variables and the detection of structure in the relationships between metals that give complementary information about the relations and elemental patterns within plants-soil system. The power of chemometrics was also used in exploring the potential natural and/or anthropogenic sources responsible for metal content in both medicinal plants and soil samples. Hierarchical cluster analysis (HCA) was used to explore herbal drugs grouping according to corresponding soil samples as additional information to the output obtained by PCA.", publisher = "Elsevier Science BV, Amsterdam", journal = "Microchemical Journal", title = "Multivariate characterization of herbal drugs and rhizosphere soil samples according to their metallic content", volume = "84", number = "1-2", pages = "93-101", doi = "10.1016/j.microc.2006.05.008" }
Ražić, S., Đogo-Mračević, S.,& Slavković, L.. (2006). Multivariate characterization of herbal drugs and rhizosphere soil samples according to their metallic content. in Microchemical Journal Elsevier Science BV, Amsterdam., 84(1-2), 93-101. https://doi.org/10.1016/j.microc.2006.05.008
Ražić S, Đogo-Mračević S, Slavković L. Multivariate characterization of herbal drugs and rhizosphere soil samples according to their metallic content. in Microchemical Journal. 2006;84(1-2):93-101. doi:10.1016/j.microc.2006.05.008 .
Ražić, Slavica, Đogo-Mračević, Svetlana, Slavković, Latinka, "Multivariate characterization of herbal drugs and rhizosphere soil samples according to their metallic content" in Microchemical Journal, 84, no. 1-2 (2006):93-101, https://doi.org/10.1016/j.microc.2006.05.008 . .