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.
TY - JOUR
AU - Ražić, Slavica
AU - Đogo-Mračević, Svetlana
AU - Slavković, Latinka
PY - 2006
UR - http://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
UR - conv_1777
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",
url = "conv_1777"
}
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
conv_1777
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
conv_1777 .
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 .,
conv_1777 .
