Practical implications of aflatoxin contamination in corn

Aflatoxin (AFL) contamination of corn is a serious economic and food security issue. Although a variety of technical solutions for reducing AFL contamination of corn have been proposed, only a few have produced satisfactory results. A successful approach is a biocontrol strategy consisting of using non-flatoxigenic strains of Aspergillus flavus to replace indigenous AFL-producing isolates. The main objective of the present thesis was to investigate the dynamic and contamination of AFL/A. flavus in corn in Northern Italy. The study also investigated the role of the key-pest of corn, the European Corn Borer (ECB), on AFL contamination and dispersal of A. flavus propagules in corn. Finally, the study evaluated the feasibility of bioplastic-based granules entrapping a non-aflatoxigenic A. flavus strain for the biocontrol of this fungus in corn. The 2-year field study demonstrated the efficacy of the bioplastic formulation to reduce AFL contamination in corn. More precisely, although AFL contamination varied among the two years, application of 15 and 30 kg ha-1 of granules reduced AFL contamination to up 60 and 85% in 2009 and 2010 respectively. Microbiological analysis showed that the relative abundance of non-aflatoxigenic soil isolates significantly increased after 1 month from granules application (mid-May) and throughout the corn-growing season. These findings were consistent with data obtained using a bioplastic-based bait specifically developed to selectively isolate Aspergilli from soil and other environmental samples. In addition, field and laboratory evaluations showed that the level of damages produced by ECB larvae were not significantly correlated to A. flavus infestation and AFL contamination. Taking together, these findings demonstrated that AFL contamination of corn in Northern Italy was variable, but above the EU limit for human consumption. First proposed in the USA, this study showed the practical possibility of this formulation to be use for reducing AFL contamination in corn in the EU.

Application of innovative methods of source apportionment in air contamination assessment

In this work, new tools in atmospheric pollutant sampling and analysis were applied in order to go deeper in source apportionment study. The project was developed mainly by the study of atmospheric emission sources in a suburban area influenced by a municipal solid waste incinerator (MSWI), a medium-sized coastal tourist town and a motorway. Two main research lines were followed. For what concerns the first line, the potentiality of the use of PM samplers coupled with a wind select sensor was assessed. Results showed that they may be a valid support in source apportionment studies. However, meteorological and territorial conditions could strongly affect the results. Moreover, new markers were investigated, particularly focusing on the processes of biomass burning. OC revealed a good biomass combustion process indicator, as well as all determined organic compounds. Among metals, lead and aluminium are well related to the biomass combustion. Surprisingly PM was not enriched of potassium during bonfire event. The second research line consists on the application of Positive Matrix factorization (PMF), a new statistical tool in data analysis. This new technique was applied to datasets which refer to different time resolution data. PMF application to atmospheric deposition fluxes identified six main sources affecting the area. The incinerator’s relative contribution seemed to be negligible. PMF analysis was then applied to PM2.5 collected with samplers coupled with a wind select sensor. The higher number of determined environmental indicators allowed to obtain more detailed results on the sources affecting the area. Vehicular traffic revealed the source of greatest concern for the study area. Also in this case, incinerator’s relative contribution seemed to be negligible. Finally, the application of PMF analysis to hourly aerosol data demonstrated that the higher the temporal resolution of the data was, the more the source profiles were close to the real one.

Stream sediments analysis for geochemical mapping of Romagna Apennines (Northern Italy): monitoring and management tool of environmental resources at various scales

Geochemical mapping is a valuable tool for the control of territory that can be used not only in the identification of mineral resources and geological, agricultural and forestry studies but also in the monitoring of natural resources by giving solutions to environmental and economic problems. Stream sediments are widely used in the sampling campaigns carried out by the world's governments and research groups for their characteristics of broad representativeness of rocks and soils, for ease of sampling and for the possibility to conduct very detailed sampling In this context, the environmental role of stream sediments provides a good basis for the implementation of environmental management measures, in fact the composition of river sediments is an important factor in understanding the complex dynamics that develop within catchment basins therefore they represent a critical environmental compartment: they can persistently incorporate pollutants after a process of contamination and release into the biosphere if the environmental conditions change. It is essential to determine whether the concentrations of certain elements, in particular heavy metals, can be the result of natural erosion of rocks containing high concentrations of specific elements or are generated as residues of human activities related to a certain study area. This PhD thesis aims to extract from an extensive database on stream sediments of the Romagna rivers the widest spectrum of informations. The study involved low and high order stream in the mountain and hilly area, but also the sediments of the floodplain area, where intensive agriculture is active. The geochemical signals recorded by the stream sediments will be interpreted in order to reconstruct the natural variability related to bedrock and soil contribution, the effects of the river dynamics, the anomalous sites, and with the calculation of background values be able to evaluate their level of degradation and predict the environmental risk.