Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis

A principal component analysis (PCA) was used for classification of soil samples from different locations in Serbia and Montenegro. Based on activities of radionuclides ((226)Ra, (238)U, (235)U, (40)K, (134)Cs, (137)Cs, (232)Th and (7)Be) detected by gamma-ray spectrometry, the classification of soils according to their geographical origin was performed. Application of PCA to our experimental data resulted in satisfactory classification rate (86.0% correctly classified samples). The obtained results indicate that gamma-ray spectrometry in conjunction with PCA is a viable tool for soil classification.     

Implementation of Neural Networks for Classification of Moss and Lichen Samples on the Basis of Gamma-Ray Spectrometric Analysis

Mosses and lichens have an important role in biomonitoring. The objective of this study is to develop a neural network model to classify these plants according to geographical origin. A three-layer feed-forward neural network was used. The activities of radionuclides ((226)Ra, (238)U, (235)U, (40)K, (232)Th, (134)Cs, (137)Cs and (7)Be) detected in plant samples by gamma-ray spectrometry were used as inputs for neural network. Five different training algorithms with different number of samples in training sets were tested and compared, in order to find the one with the minimum root mean square error. The best predictive power for the classification of plants from 12 regions was achieved using a network with 5 hidden layer nodes and 3,000 training epochs, using the online back-propagation randomized training algorithm. Implementation of this model to experimental data resulted in satisfactory classification of moss and lichen samples in terms of their geographical origin. The average classification rate obtained in this study was (90.7 +/- 4.8)%.     

Toxic metal health risk by mussel consumption

Seafood is a major dietary food worldwide. However, seafood consumption by humans can induce health risk because seafood may be contaminated by various pollutants. The mussel Mytilus galloprovincialis is widely distributed in the coastal waters of Montenegro, SouthEast Adriatic Sea. Here, Zn, Fe, Cu, Ni, Cd, Pb, As, and Hg contents in M. galloprovincialis from ten sites were analyzed to investigate health risks associated with the consumption of wild and cultivated mussels. Since there is a lack of data on the mussel consumption rate in Montenegro, the amount of mussels that can be ingested weekly over a lifetime with no risk of negative health effects was calculated using provisional tolerable weekly intakes (PTWI). We found that Cd concentrations were the limiting factor for mussels as a food. The weekly consumptions of 0.64–1.2 kg of fresh wild and 0.84–1.2 kg of fresh cultivated mussel would be sufficient to reach the PTWI_Cd, which may result in a risky weekly intake of Cd for long-term exposure. Moreover, weekly intake of 125 g mussels was used to calculate the dietary intake of trace elements by mussel consumption and compared with the prescribed PTWIs. Here, we found that there is no risk for human health for all investigated elements. In this case, the highest Cd level obtained in wild and in cultivated mussels represents 19.8 and 14.9% of the PTWI_Cd, respectively. This is the first study in Montenegro giving an assessment of the health risk from trace elements via the consumption of wild and cultivated M. galloprovincialis.     

Detection of elements and radioactivity in pellets from long-eared owls (Asio otus) inhabiting the city of Belgrade (Serbia)

In this study, we analysed pellets from long-eared owls (Asio otus) collected from four localities in Belgrade (Serbia). The pellets contained the remains of prey, namely voles (Arvicola terrestris) and field mice (Apodemus agrarius). The concentrations of 14 elements (Ca, P, Mg, Na, K, Fe, Zn, Sr, Ba, Mn, Ti, Cu, Si, B) were evaluated in whole pellets and in samples containing only bone tissue, which were dissected from the whole pellet. The increased levels of certain elements, including Mn, Zn, Ba, Cu and radioactive ⁴⁰K, indicate contamination of the soil by various sources, such as industrial plants and agricultural practices. From the results presented in this article, we suggest that the analysis of owl pellets may indicate the quality of the local environment.     

Principal component analysis of trace elements in industrial soils

The concentrations of the elements Cr, Pb, Cd, Zn, Ni, Mn, Cu and As in soil samples from industrial areas in Serbia were studied. The complexity of the data of eight elements in fifty-nine soil samples was reduced by principal component analysis. Three significant factors, in which 78% of the total variance in the data was found, were attributed to possible pollution sources. The crude and fuel oil burning, local smelters and exhaust emissions were shown to impact heavily the soil trace element profile, whereas no distinct soil type factor was observed. This approach, evidencing spatial relationship, enabled a differentiation between the soil samples originating from different areas.Selected article from the Regional Symposium on Chemistry and Environment, Krusevac, Serbia, June 2003, organised by Dr. Branimir Jovancicevic