Biomaterials for Clinical Application in Endodontics

Endodontic therapy consists in the management of several tissues such as pulp tissue, periodontal tissue, periapical bone and dentine. These tissues are often contaminated by blood, periapical exudates and biological fluids. An ideal orthograde or retrograde filling material should be non toxic, noncarcinogenic, nongenotoxic, biocompatible with the host tissues, insoluble in tissue fluids, and dimensionally stable. Calcium-silicate MTA based cements own many of these ideal characteristics, but the long setting time, the non-easy handling and the lack of mechanical properties at early times are few drawbacks which may complicate the clinical application. The aim of this study was to investigate the chemical, physical and biological properties of calcium-silicate MTA cements in order to improve the mechanical properties and the handling keeping the biological characteristics unchanged. Chemical and physical properties such as setting time, solubility, water-uptake, ion release, sealing ability were investigated according the ISO and ADA specifications. The bioactivity (ability to produce apatite nano-sferulities) of MTA cements were evaluated using ESEM/EDX, micro-Raman and ATR/FTIR spettroscopy.

Advanced modelling of time domain electromagnetic data with updated hydrogeological interpretations

Several countries have acquired, over the past decades, large amounts of area covering Airborne Electromagnetic data. Contribution of airborne geophysics has dramatically increased for both groundwater resource mapping and management proving how those systems are appropriate for large-scale and efficient groundwater surveying. We start with processing and inversion of two AEM dataset from two different systems collected over the Spiritwood Valley Aquifer area, Manitoba, Canada respectively, the AeroTEM III (commissioned by the Geological Survey of Canada in 2010) and the “Full waveform VTEM” dataset, collected and tested over the same survey area, during the fall 2011. We demonstrate that in the presence of multiple datasets, either AEM and ground data, due processing, inversion, post-processing, data integration and data calibration is the proper approach capable of providing reliable and consistent resistivity models. Our approach can be of interest to many end users, ranging from Geological Surveys, Universities to Private Companies, which are often proprietary of large geophysical databases to be interpreted for geological and\or hydrogeological purposes. In this study we deeply investigate the role of integration of several complimentary types of geophysical data collected over the same survey area. We show that data integration can improve inversions, reduce ambiguity and deliver high resolution results. We further attempt to use the final, most reliable output resistivity models as a solid basis for building a knowledge-driven 3D geological voxel-based model. A voxel approach allows a quantitative understanding of the hydrogeological setting of the area, and it can be further used to estimate the aquifers volumes (i.e. potential amount of groundwater resources) as well as hydrogeological flow model prediction. In addition, we investigated the impact of an AEM dataset towards hydrogeological mapping and 3D hydrogeological modeling, comparing it to having only a ground based TEM dataset and\or to having only boreholes data.