The impact of swine welfare on some qualitative traits of meat and long cured animal derived products

The present dissertation collects the results of three different research trials which have the common aim to understand the effects of swine welfare (both at farm level and during transport) on the main fresh and dry-cured meat characteristics. The first trial was carried out in order to compare the effects of illumination regimes differing in light duration or light intensity on meat and ham quality of Italian heavy pigs. The results of this trial support the conclusion that, within a moderate range of light intensity and given an appropriate dark period for animal rest, an increase of light duration or intensity above the minimum mandatory levels has no negative impact on carcass composition, meat or long-cured hams quality. The second trial was designed with the aim to investigate the effects of water restriction on growth traits, animal welfare and meat and ham quality of liquid-fed heavy pigs. Overall, the parameters analyzed as concerns growth rate, behavioural traits, blood, as well as carcass, fresh meat and cured hams quality were not affected by the absence of fresh drinking water. However, since liquid feeding did not suppress drinker use or drinker manipulation in the experimental groups, water restriction does not appear to be an applicable method to obtain a reduction of water waste. The third trial, which was carried out in Canada, tested the effectiveness of water sprinkling market-weight pigs (115±10Kg BW) before and after transport in reducing the heat stress experienced under commercial transport conditions. Our results show that the water sprinkling protocol proposed may reduce heat stress during transport and improve pork quality, particularly in specific trailer compartments. This body of research supports the general conclusion that swine welfare could be improved in different scenarios through simple and cost-effective means, without negatively affecting the quality of the main animal-derived products.

Analysis and modelling of the performance of technologies for flue gas treatment in Waste-to-Energy processes

Waste management represents an important issue in our society and Waste-to-Energy incineration plants have been playing a significant role in the last decades, showing an increased importance in Europe. One of the main issues posed by waste combustion is the generation of air contaminants. Particular concern is present about acid gases, mainly hydrogen chloride and sulfur oxides, due to their potential impact on the environment and on human health. Therefore, in the present study the main available technological options for flue gas treatment were analyzed, focusing on dry treatment systems, which are increasingly applied in Municipal Solid Wastes (MSW) incinerators. An operational model was proposed to describe and optimize acid gas removal process. It was applied to an existing MSW incineration plant, where acid gases are neutralized in a two-stage dry treatment system. This process is based on the injection of powdered calcium hydroxide and sodium bicarbonate in reactors followed by fabric filters. HCl and SO2 conversions were expressed as a function of reactants flow rates, calculating model parameters from literature and plant data. The implementation in a software for process simulation allowed the identification of optimal operating conditions, taking into account the reactant feed rates, the amount of solid products and the recycle of the sorbent. Alternative configurations of the reference plant were also assessed. The applicability of the operational model was extended developing also a fundamental approach to the issue. A predictive model was developed, describing mass transfer and kinetic phenomena governing the acid gas neutralization with solid sorbents. The rate controlling steps were identified through the reproduction of literature data, allowing the description of acid gas removal in the case study analyzed. A laboratory device was also designed and started up to assess the required model parameters.