Occupational exposure to particulate matter and respiratory symptoms in Portuguese swine barn workers

Certain environmental conditions in animal and plant production have been associated with increased frequency in respiratory illnesses, including asthma, chronic bronchitis, and hypersensitivity pneumonitis, in farmers occupationally exposed in swine production. The aim of this study was to characterize particulate matter (PM) contamination in seven Portuguese swine farms and determine the existence of clinical symptoms associated with asthma and other allergy diseases, utilizing the European Community Respiratory Health Survey questionnaire. Environmental assessments were performed with portable direct-reading equipment, and PM contamination including five different sizes (PM0.5, PM1.0, PM2.5, PM5.0, PM10) was determined. The distribution of particle size showed the same trend in all swine farms, with high concentrations of particles with PM5 and PM10. Results from the questionnaire indicated a trend such that subjects with diagnosis of asthma were exposed to higher concentrations of PM with larger size (PM2.5, PM5, and PM10) while subjects with sneezing, runny nose, or stuffy nose without a cold or flu were exposed to higher concentrations of PM with smaller size (PM0.5 and PM1). Data indicate that inhalation of PM in swine farm workers is associated with increased frequency of respiratory illnesses.

Qualidade do chocolate: estudo de alguns parâmetros

O chocolate é considerado uma emulsão complexa e um alimento de luxo, que durante o seu consumo provoca estímulos que activam os centros de prazer do cérebro Humano. Tendo em conta a importância deste alimento torna-se necessário estudar e avaliar a melhor forma de melhorar a qualidade do chocolate. Este trabalho teve como objectivo verificar e analisar a qualidade do processo de fabrico da massa de chocolate, no que respeita (i) a rastreabilidade das matérias-primas e do produto acabado e, por outro lado, (ii) determinar e estudar o efeito de alguns parâmetros do processo nas características da massa, através das variáveis viscosidade, tensão de corte, tensão de corte crítica (“yield value”) e granulometria. Estas variáveis foram medidas em massas de chocolate de leite com o nome de formulação CAI e provenientes das duas unidades fabris da empresa (UF1 e UF2). Os parâmetros estudados na UF1 foram a influência das conchas e dos ingredientes. Na UF2 estudou-se a influência dos inutilizados de fabrico e a influência dos inutilizados de fabrico juntamente com o efeito de um ingrediente que foi o açúcar. Os resultados da viscosidade, tensão de corte e tensão de corte crítica (“yield value”) foram analisados estatisticamente por análise de variância (ANOVA), recorrendo aos testes de Komolgorov-Smirnov, Shapiro-Wilk e de Levene para verificar as condições de aplicabilidade desta análise. Os resultados da granulometria como não aderiram a uma distribuição normal foram analisados pelo método não paramétrico de Kruskal-Wallis. Estas análises foram executadas no programa “Statistical Package for the Social Sciences” (SPSS). Pelos resultados obtidos, conclui-se que, para a UF1, a concha afecta a tensão de corte, viscosidade e a tensão de corte crítica do chocolate produzido, na medida em que existem diferenças entre as conchas estudadas. Para esta unidade conclui-se que os ingredientes também influenciam a granulometria da massa. No caso da UF2, conclui-se que a tensão de corte é afectada apenas pelo lote de açúcar, a viscosidade é afectada tanto pelo lote de açúcar como pela presença de inutilizados de fabrico e a tensão de corte crítica não é afectada por nenhum destes efeitos. A granulometria, nesta unidade é afectada pelos lotes de açúcar estudados.

Occupational exposure to particulate matter in 2 Portuguese waste-sorting units

Objectives - This study intended to characterize work environment contamination by particles in 2 waste-sorting plants. Material and Methods - Particles were measured by portable direct-reading equipment. Besides mass concentration in different sizes, data related with the number of particles concentration were also obtained. Results - Both sorting units showed the same distribution concerning the 2 exposure metrics: particulate matter 5 (PM5) and particulate matter 10 (PM10) reached the highest levels and 0.3 μm was the fraction with a higher number of particles. Unit B showed higher (p < 0.05) levels for both exposure metrics. For instance, in unit B the PM10 size is 9-fold higher than in unit A. In unit A, particulate matter values obtained in pre-sorting and in the sequential sorting cabinet were higher without ventilation working. Conclusions - Workers from both waste-sorting plants are exposed to particles. Particle counting provided additional information that is of extreme value for analyzing the health effects of particles since higher values of particles concentration were obtained in the smallest fraction.

Heterogeneous kinetics of the reduction of chromium (VI) by elemental iron

Zero valent iron (ZVI) has been extensively used as a reactive medium for the reduction of Cr(VI) to Cr(III) in reactive permeable barriers. The kinetic rate depends strongly on the superficial oxidation of the iron particles used and the preliminary washing of ZVI increases the rate. The reaction has been primarily modelled using a pseudo-first-order kinetics which is inappropriate for a heterogeneous reaction. We assumed a shrinking particle type model where the kinetic rate is proportional to the available iron surface area, to the initial volume of solution and to the chromium concentration raised to a power ˛ which is the order of the chemical reaction occurring at surface. We assumed α= 2/3 based on the likeness to the shrinking particle models with spherical symmetry. Kinetics studies were performed in order to evaluate the suitability of this approach. The influence of the following parameters was experimentally studied: initial available surface area, chromium concentration, temperature and pH. The assumed order for the reaction was confirmed. In addition, the rate constant was calculated from data obtained in different operating conditions. Digital pictures of iron balls were periodically taken and the image treatment allowed for establishing the time evolution of their size distribution.

Fractional order modelling of zero length column desorption response for adsorbents with variable particle sizes

This manuscript analyses the data generated by a Zero Length Column (ZLC) diffusion experimental set-up, for 1,3 Di-isopropyl benzene in a 100% alumina matrix with variable particle size. The time evolution of the phenomena resembles those of fractional order systems, namely those with a fast initial transient followed by long and slow tails. The experimental measurements are best fitted with the Harris model revealing a power law behavior.

Role of abrasive material on micro-abrasion wear tests

Micro-abrasion wear tests with ball-cratering configuration are widely used. Sources of variability are already studied by different authors and conditions for testing are parameterized by BS EN 1071-6: 2007 standard which refers silicon carbide as abrasive. However, the use of other abrasives is possible and allowed. In this work, ball-cratering wear tests were performed using four different abrasive particles of three dissimilar materials: diamond, alumina and silicon carbide. Tests were carried out under the same conditions on a steel plate provided with TiB2 hard coating. For each abrasive, five different test durations were used allowing understanding the initial wear phenomena. Composition and shape of abrasive particles were investigated by SEM and EDS. Scar areas were observed by optical and electronic microscopy in order to understand the wear effects caused by each of them. Scar geometry and grooves were analyzed and compared. Wear coefficient was calculated for each situation. It was observed that diamond particles produce well-defined and circular wear scars. Different silicon carbide particles presented dissimilar results as consequence of distinct particle shape and size distribution.