Autori: Enache, M.

Editorial: Proceedings of the 1st International Conference: „Environment – Natural Sciences – Food Industry in European Context”, November 16-17 2007, Baia Mare, p.119-124, 2007.

Rezumat:

Following our previous studies [1, 2] we present here the application of the parameters Wi of Turner et al. [3] in the correlation of metal ion toxicity in plants. The experimental toxicity data set was determined in vivo and contains 17 metal ions, of which 8 metal ions are in group (1) (Al3+, Ba2+, Ca2+, K1+, La3+, Li1+, Mg2+, Na1+), 8 metal ions are in group (2) (Ag1+, Cd2+, Co2+, Cu2+, Fe3+, Mn2+, Ni2+, Zn2+), and one metal ion (Pb2+) belongs to group (3) according to Kaiser’s classification [4]. The relationship between the multiparameters Wi (calculated following the 3-step method of Turner et al. [3]) and the EC50 values determined in sunflower “Sunspot” were analysed using multiple regression analysis in the Minitab statistical package. The analysis has produced a significant predictive model for the metal ions in Kaiser’s group (2). For the toxicity data of the metal ions in Kaiser’s group (1) there is a good fit if the lithium ion is excluded from the analysis. Because Turner’s multiparameters Wi led to the production of significant models in both cases, it can be concluded that the current analysis confirm their potential in the prediction of metal ion toxicity. Therefore the calculated values of the multiparameters Wi given in this work were considered useful for their application to further related studies.

Cuvinte cheie: metal ions, toxicity, correlation, plants // ioni de metale, toxicitate, corelatii, plante