Monitoring the toxic effects of Pb, Cd and Cu on hematological parameters of Wistar rats and potential protective role of lipoic acid and glutathione.

Heavy metal pollution is a serious environmental and health problem. The negative effects of heavy metals that can enter human body can be reduced by the addition of some supplements. In this study, the effects of lead (Pb), cadmium (Cd) and copper (Cu) on the hematological parameters in Wistar rats in the absence and presence of lipoic acid and glutathione were analyzed. Pb, Cd and Cu intoxication significantly affected the hematological parameters of treated animals. The main effects in the case of Pb and Cd intoxication were decreased values of erythrocytes, hemoglobin and hematocrit (up to 30% and 20% for these two metals, respectively) compared with the control group. Cu intoxication caused decrease in hematocrit, thrombocytes, mean cell volume values (c.a. 15%) and slight decrease in the erythrocyte number, while the value of hemoglobin increased (c.a. 7%). The treatment with lipoic acid and glutathione reduced the toxic effects of these metals in all cases.

Metals and organic compounds in the biosynthesis of cannabinoids: a chemometric approach to the analysis of Cannabis sativa samples.

Illicit production and trade of Cannabis sativa affect many societies. This drug is the most popular and easy to produce. Important information for the authorities is the production locality and the indicators of a particular production. This work is an attempt to recognise correlations between the metal content in the different parts of C. sativa L., in soils where plants were cultivated and the cannabinoids content, as a potential indicator. The organic fraction of the leaves of Cannabis plants was investigated by GC-FID analysis. In addition, the determination of Cu, Fe, Cr, Mn, Zn, Ca and Mg was realised by spectroscopic techniques (FAAS and GFAAS). In this study, numerous correlations between metal content in plants and soil, already confirmed in previous publications, were analysed applying chemometric unsupervised methods, that is, principal component analysis, factor analysis and cluster analysis, in order to highlight their role in the biosynthesis of cannabinoids.