Comparison of fungal contamination between hospitals and companies food units

A descriptive study was developed to compare air and surfaces fungal contamination in ten hospitals’ food units and two food units from companies. Fifty air samples of 250 litres through impaction method were collected from hospitals’ food units and 41 swab samples from surfaces were also collected, using a 10 by 10 cm square stencil. Regarding the two companies, ten air samples and eight surface samples were collected. Air and surface samples were collected in food storage facilities, kitchen, food plating and canteen. Outdoor air was also collected since this is the place regarded as a reference. Simultaneously, temperature, relative humidity and meal numbers were registered. Concerning air from hospitals’ food units, 32 fungal species were identified, being the two most commonly isolated genera Penicillium sp.

Effect of the number of shells on the pressure and energy of two-dimensional free bubble clusters

We have performed Surface Evolver simulations of two-dimensional hexagonal bubble clusters consisting of a central bubble of area lambda surrounded by s shells or layers of bubbles of unit area. Clusters of up to twenty layers have been simulated, with lambda varying between 0.01 and 100. In monodisperse clusters (i.e., for lambda = 1) [M.A. Fortes, F Morgan, M. Fatima Vaz, Philos. Mag. Lett. 87 (2007) 561] both the average pressure of the entire Cluster and the pressure in the central bubble are decreasing functions of s and approach 0.9306 for very large s, which is the pressure in a bubble of an infinite monodisperse honeycomb foam. Here we address the effect of changing the central bubble area lambda. For small lambda the pressure in the central bubble and the average pressure were both found to decrease with s, as in monodisperse clusters. However, for large,, the pressure in the central bubble and the average pressure increase with s. The average pressure of large clusters was found to be independent of lambda and to approach 0.9306 asymptotically. We have also determined the cluster surface energies given by the equation of equilibrium for the total energy in terms of the area and the pressure in each bubble. When the pressures in the bubbles are not available, an approximate equation derived by Vaz et al. [M. Fatima Vaz, M.A. Fortes, F. Graner, Philos. Mag. Lett. 82 (2002) 575] was shown to provide good estimations for the cluster energy provided the bubble area distribution is narrow. This approach does not take cluster topology into account. Using this approximate equation, we find a good correlation between Surface Evolver Simulations and the estimated Values of energies and pressures. (C) 2008 Elsevier B.V. All rights reserved.

Assessment of fungal contamination in waste sorting and incineration: case study in Portugal

Organic waste is a rich substrate for microbial growth, and because of that, workers from waste industry are at higher risk of exposure to bioaerosols. This study aimed to assess fungal contamination in two plants handling solid waste management. Air samples from the two plants were collected through an impaction method. Surface samples were also collected by swabbing surfaces of the same indoor sites. All collected samples were incubated at 27◦C for 5 to 7 d. After lab processing and incubation of collected samples, quantitative and qualitative results were obtained with identification of the isolated fungal species. Air samples were also subjected to molecular methods by real-time polymerase chain reaction (RT PCR) using an impinger method to measure DNA of Aspergillus flavus complex and Stachybotrys chartarum. Assessment of particulate matter (PM) was also conducted with portable direct-reading equipment. Particles concentration measurement was performed at five different sizes (PM0.5; PM1; PM2.5; PM5; PM10). With respect to the waste sorting plant, three species more frequently isolated in air and surfaces were A. niger (73.9%; 66.1%), A. fumigatus (16%; 13.8%), and A. flavus (8.7%; 14.2%). In the incineration plant, the most prevalent species detected in air samples were Penicillium sp. (62.9%), A. fumigatus (18%), and A. flavus (6%), while the most frequently isolated in surface samples were Penicillium sp. (57.5%), A. fumigatus (22.3%) and A. niger (12.8%). Stachybotrys chartarum and other toxinogenic strains from A. flavus complex were not detected. The most common PM sizes obtained were the PM10 and PM5 (inhalable fraction). Since waste is the main internal fungal source in the analyzed settings, preventive and protective measures need to be maintained to avoid worker exposure to fungi and their metabolites.

Potential poultry and meat products contamination by aflatoxin B1 due to fungal presence in Portuguese poultry units

The impact of mycotoxins on human and animal health is well recognized. Aflatoxin B1 (AFB1) is by far the most prevalent and the most potent natural carcinogen and is usually the major aflatoxin produced by toxigenic fungal strains. Data available, points to an increasing frequency of poultry feed contamination by aflatoxins. Since aflatoxin residues may accumulate in body tissues, this represents a high risk to human health. Samples from commercial poultry birds have already presented detectable levels of aflatoxin in liver. A descriptive study was developed in order to assess fungal contamination by species from Aspergillus flavus complex in seven Portuguese poultry units. Air fungal contamination was studied by conventional and molecular methods. Air, litter and surfaces samples were collected. To apply molecular methods, air samples of 300L were collected using the Coriolis μ air sampler (Bertin Technologies), at 300 L/min airflow rate. For conventional methodologies, all the collected samples were incubated at 27ºC for five to seven days. Through conventional methods, Aspergillus flavus was the third fungal species (7%) most frequently found in 27 indoor air samples analysed and the most commonly isolated species (75%) in air samples containing only the Aspergillus genus...

Big Bang bifurcations and allee effect in Blumberg’s dynamics

This paper concerns dynamics and bifurcations properties of a class of continuous-defined one-dimensional maps, in a three-dimensional parameter space: Blumberg's functions. This family of functions naturally incorporates a major focus of ecological research: the Allee effect. We provide a necessary condition for the occurrence of this phenomenon, associated with the stability of a fixed point. A central point of our investigation is the study of bifurcations structure for this class of functions. We verified that under some sufficient conditions, Blumberg's functions have a particular bifurcations structure: the big bang bifurcations of the so-called "box-within-a-box" type, but for different kinds of boxes. Moreover, it is verified that these bifurcation cascades converge to different big bang bifurcation curves, where for the corresponding parameter values are associated distinct attractors. This work contributes to clarify the big bang bifurcation analysis for continuous maps. To support our results, we present fold and flip bifurcations curves and surfaces, and numerical simulations of several bifurcation diagrams.

Analysis of surfaces for characterization of fungal burden: does it matter?

Objectives: Mycological contamination of occupational environments can be a result of fungal spores’ dispersion in the air and on surfaces. Therefore, it is very important to assess it in both types of the samples. In the present study we assessed fungal contamination in the air and in the surface samples to show relevance of surfaces sampling in complementing the results obtained in the air samples. Material and Methods: In total, 42 settings were assessed by the analysis of air and surfaces samples. The settings were divided into settings with a high fungal load (7 poultry farms and 7 pig farms, 3 cork industries, 3 waste management plants, 2 wastewater treatment plants and 1 horse stable) and a low fungal load (10 hospital canteens, 8 college canteens and 1 maternity hospital). In addition to culture-based methods, molecular tools were also applied to detect fungal burden in the settings with a higher fungal load. Results: From the 218 sampling sites, 140 (64.2%) presented different species in the examined surfaces when compared with the species identified in the air. A positive association in the high fungal load settings was found between the presence of different species in the air and surfaces. Wastewater treatment plants constituted the setting with the highest number of different species between the air and surface. Conclusions: We observed that surfaces sampling and application of molecular tools showed the same efficacy of species detection in high fungal load settings, corroborating the fact that surface sampling is crucial for a correct and complete analysis of occupational scenarios.

Exposure and risk assessment in occupational exposure to fungi: aspects to consider in highly contaminated settings

Although a clear correlation between levels of fungi in the air and health impacts has not been shown in epidemiological studies, fungi must be regarded as potential occupational health hazards. Fungi can have an impact on human health in four different ways: (1) they can infect humans, (2) they may act as allergens, (3) they can be toxigenic, or (4) they may cause inflammatory reactions. Fungi of concern in occupational hygiene are mostly non-pathogenic or facultative pathogenic (opportunistic) species, but are relevant as allergens and mycotoxins producers. It is known that the exclusive use of conventional methods for fungal quantification (fungal culture) may underestimate the results due to different reasons. The incubation temperature chosen will not be the most suitable for every fungal species, resulting in the inhibition of some species and the favouring of others. Differences in fungi growth rates may also result in data underestimation, since the fungal species with higher growth rates may inhibit others species’ growth. Finally, underestimated data can result from non-viable fungal particles that may have been collected or fungal species that do not grow in the culture media used, although these species may have clinical relevance in the context. Due to these constraints occupational exposure assessment, in setings with high fungal contamination levels, should follow these steps: Apply conventional methods to obtain fungal load information (air and surfaces) regarding the most critical scenario previously selected; Guideline comparation aplying or legal requirements or suggested limits by scientific and/or technical organizations. We should also compare our results with others from the same setting (if there is any); Select the most suitable indicators for each setting and apply conventional-culture methods and also molecular tools. These methodology will ensure a more real characterization of fungal burden in each setting and, consequently, permits to identify further measures regarding assessment of fungal metabolites, and also a more adequate workers health surveillance. The methodology applied to characterize fungal burden in several occupational environments, focused in Aspergillus spp. prevalence, will be present and discussed.

Assessment of fungal contamination in a group of Lisbon's gymnasiums with a swimming pool

The study’s main purpose was the assessment of the environmental fungal contamination, the exploration of possible associations between related environmental variables and the study of the relationship between fungal contamination of air and surfaces. A descriptive study was developed based upon air and surfaces monitoring for fungal contamination in ten indoor gymnasiums with a swimming pool located in Lisbon’s urban area. Fifty 200 litres air samples and 120 surface swabs were collected. Surfaces samples were collected before and after cleaning and disinfection and temperature and relative humidity values were registered during the collection period. Twenty five different species of fungi were identified in the air samples, being the three most commonly isolated genera the following: Cladosporium (36.6%), Penicillium (19.0%) and Aspergillus (10.2%). Thirty-seven different species of fungi were identified in the surface samples. Fusarium sp. was the most frequent genera before (19.1%) and after (17.2%) cleaning and disinfection. There was a significant association between the numbers of visitors and the fungal contamination determined in the surface samples (p<0.05). There was no significant association (p>0.05) between the contamination encountered in the air samples and the one registered in the surface samples and between the fungal contamination and the temperature or relative humidity measured on location. The data obtained enabled the assessment of the establishment’s fungal contamination and led the authors to conclude, consequently, that physical activity, which generally promotes health, can in fact be challenged by this factor.

Possíveis implicações da contaminação fúngica num aviário

Introdução – Apesar de em Portugal se verificar o aumento da indústria da produção de aves para consumo humano, apenas alguns estudos incidem sobre a qualidade do ar interior e as implicações da sua degradação. Objectivos – Descrever a contaminação fúngica num aviário, analisar possíveis associações com a temperatura ambiente e a humidade relativa e o possível impacto na saúde dos consumidores e trabalhadores desta unidade. Métodos – Foi desenvolvido um estudo descritivo para avaliar a contaminação fúngica num aviário. Colheram‑se 5 amostras de ar de 100 litros através do método de compactação e 4 amostras de superfícies, utilizando a técnica da zaragatoa e um quadrado de 10 cm de lado de metal. Simultaneamente, os parâmetros ambientais – temperatura ambiente e humidade relativa – também foram medidos. Resultados – Foram identificadas vinte espécies de fungos no ar, sendo os seguintes os quatro géneros mais comummente isolados: Cladosporium (40,5%), Alternaria (10,8%), Chrysosporium e Aspergillus (6,8%). Nas superfícies, 21 espécies de fungos foram identificadas, sendo os 4 géneros mais identificados Penicillium (51,8%), Cladosporium (25,4%), Alternaria (6,1%) e Aspergillus (4,2%). Importa referir o facto de Aspergillus flavus, também isolado no ar, ser reconhecido como produtor de micotoxinas (aflatoxina) e Aspergillus fumigatus, uma das espécies isoladas no ar e superfícies, ser capaz de causar aspergilose grave ou fatal. Não se verificou relação significativa (p> 0,05) entre a contaminação fúngica e as variáveis ambientais. Conclusão – Caracterizou‑se a distribuição fúngica no ar e superfícies do aviário e analisou‑se a possível influência das variáveis ambientais. Foi reconhecido um potencial problema de Saúde Pública devido à contaminação fúngica e à possível produção de micotoxinas com a eventual contaminação dos produtos alimentares. A contaminação fúngica, particularmente causada pelo Aspergillus fumigatus, e a possível presença de micotoxinas no ar, devem ser encaradas também como fatores de risco neste contexto ocupacional. ABSTRACT - Background – Although there is an increasingly industry that produce whole chickens for domestic consumption in Portugal, only few investigations have reported on the indoor air of these plants and the consequences of their degradation. Objectives – Describe one poultry environmental fungal contamination analyse possible associations between temperature and relative humidity and its possible impact on the health of consumers and of the poultry workers. Methods – A descriptive study was developed to monitor one poultry fungal contamination. Five air samples of 100 litres through impaction method were collected and 4 swab samples from surfaces were also collected using a 10 cm square of metal. Simultaneously, environmental parameters – temperature and relative humidity – were also measured. Results – Twenty species of fungi in air were identified, being the 4 most commonly isolated the following genera: Cladosporium (40.5%), Alternaria (10.8%), Chrysosporium and Aspergillus (6.8%). In surfaces, 21 species of fungi were identified, being the 4 genera more identified Penicillium (51.8%), Cladosporium (25.4%), Alternaria (6.1%) and Aspergillus (4.2%). In addition, Aspergillus flavus also isolated in the poultry air is a well‑known producer of potent mycotoxins (aflatoxin), and Aspergillus fumigatus, one of the species isolated in air and surfaces, is capable of causing severe or fatal aspergillosis. There was no significant relationship (p>0,05) between fungal contamination and environmental variables. Conclusions – Was characterized fungal distribution in poultry air and surfaces and analyzed the association of environmental variables. It was recognized the Public Health problem because of fungal contamination and also due to probable mycotoxins production with the possible contamination of food products. Fungal contamination, particularly due to the presence of Aspergillus fumigatus and also the possible presence of mycotoxins in the air, should be seen as risk factor in this occupational setting.

Validação da eficácia dos procedimentos de limpeza, no equipamento de fabrico e embalagem, na indústria farmacêutica

Na indústria farmacêutica, a limpeza dos equipamentos e superfícies é muito importante no processo de fabrico/embalagem dos produtos farmacêuticos. Possíveis resíduos contaminantes devem ser removidos dos equipamentos e das superfícies envolvidas no processo. De acordo com as Boas Práticas de Fabrico (GMP), os procedimentos de limpeza e os métodos analíticos usados para determinar as quantidades de resíduos devem ser validados. O método analítico combinado com o método de amostragem utilizado na colheita de amostras deve ser sujeito a um ensaio de “recovery”. Neste trabalho apresenta-se uma estratégia inovadora para a validação de limpeza de formas farmacêuticas semi-sólidas. Propõe-se o uso de um método de amostragem que consiste na colheita direta de amostra após o seu fabrico, sendo a análise de resíduos feita directamente nesta amostra. Os produtos escolhidos para a avaliação da estratégia foram dois medicamentos dermatológicos, apresentados na forma de pomada e produzidos numa unidade de fabrico de vários produtos, pela Schering Plough Farma/ Merck Sharp & Dohme (Cacém, Portugal). Como métodos analíticos para a quantificação dos resíduos, utilizaram-se métodos validados por via espectrofotométrica (HPLC), usados na análise do produto acabado. A validação de limpeza foi avaliada através da análise de uma quantidade conhecida de pomada (produto B (*)), usando o método de análise da pomada fabricada anteriormente (produto A (*)), de modo a verificar-se a existência ou não de agente de limpeza e substâncias ativas deixadas após a limpeza do produto A, e vice-versa. As concentrações residuais das substâncias ativas e do agente de limpeza encontradas após a limpeza foram nulas, ou seja, inferiores ao limite de deteção (LOD), sendo que o critério de aceitação da limpeza utilizado foi de 6,4 x 10-4 mg/g para a substância ativa 1 (*); 1,0 x 10-2 mg/g para a substância ativa 2 (*); 1,0 x 10-3 mg/g para a substância ativa 3 (*) e de 10 ppm para o agente de limpeza. No ensaio de “recovery”, obtiveram-se resultados acima de 70% para todas as substâncias ativas e para o agente de limpeza nas duas pomadas. Antes de se proceder a este ensaio de “recovery”, houve a necessidade de ajustar as condições cromatográficas dos métodos analíticos de ambos os produtos e do agente de limpeza, por forma a obter-se valores da conformidade do sistema (fator de tailling e de resolução) de acordo com as especificações. A precisão dos resultados, reportada como desvio padrão relativo (RSD), deu abaixo de 2,0%, excepto nos ensaios que envolvem a substância ativa 3, cuja especificação é inferior a 10,0%. Os resultados obtidos demonstraram que os procedimentos de limpeza usados na unidade de fabrico em causa são eficazes, eliminando assim a existência de contaminação cruzada.

Aspergillus genera fungal contamination in a Portuguese composting plant

Fungal contamination in composting facilities has been associated with increased respiratory and skin pathologies among compost workers. In this study we aim to characterize the fungal contamination caused by Aspergillus genera within a totally indoor composting plant located in Portugal. Air samples of 50L were collected from 6 sampling sites through an impaction method. Surfaces samples were collected by swabbing the surfaces of the same indoor sites. Pre-treatment and waste screw were the sampling sites of the analyzed composting plant with the highest Aspergillus load in the air. Globally, the genus Aspergillus presented the highest prevalence both in the air from (90.6%), and surfaces from the same sampling sites (60.8%). The results obtained in this study claim the attention to the need of further research regarding the fungal contamination dur to Aspergillus genus in composting plants.

Fungal contamination assessment in Portuguese elderly care centers

Individuals spend 80-90% of their day indoors and elderly subjects are likely to spend even a greater amount of time indoors. Thus, indoor air pollutants such as bioaerosols may exert a significant impact on this age group. The aim of this study was to characterize fungal contamination within Portuguese elderly care centers. Fungi were measured using conventional as well as molecular methods in bedrooms, living rooms, canteens, storage areas, and outdoors. Bioaerosols were evaluated before and after the microenvironments' occupancy in order to understand the role played by occupancy in fungal contamination. Fungal load results varied from 32 colony-forming units CFU m(-3) in bedrooms to 228 CFU m(-3) in storage areas. Penicillium sp. was the most frequently isolated (38.1%), followed by Aspergillus sp. (16.3%) and Chrysonilia sp. (4.2%). With respect to Aspergillus genus, three different fungal species in indoor air were detected, with A. candidus (62.5%) the most prevalent. On surfaces, 40 different fungal species were isolated and the most frequent was Penicillium sp. (22.2%), followed by Aspergillus sp. (17.3%). Real-time polymerase chain reaction did not detect the presence of A. fumigatus complex. Species from Penicillium and Aspergillus genera were the most abundant in air and surfaces. The species A. fumigatus was present in 12.5% of all indoor microenvironments assessed. The living room was the indoor microenvironment with lowest fungal concentration and the storage area was highest.

Volatilidade implícita: estudo de caso

Mestrado em Controlo de Gestão dos Negócios

Cluster de volatilidade no mercado de taxas de câmbio USD/GBP

Mestrado em Controlo de Gestão e dos Negócios

Microbiota assessment in optical shops: an ignored concern to public health

The presence of microorganisms in ophthalmic instruments and surfaces can lead to the exposure of patients to several infections. However, there is no information regarding fungal and bacteria contamination in optical shops. This study aims to characterize fungi and bacteria contamination in air and surfaces from 10 optical shops covering also ophthalmic instruments. Air samples were collected through an impaction method onto malt extract agar (MEA) supplemented with chloramphenicol (0.05%) used for fungi and Tryptic Soy Agar (TSA) supplemented with nystatin (0.2%) used for bacteria. Outdoor samples were also performed to be used as reference. Surface and equipment’s swab samples were also collected side-by-side. All the collected samples were incubated at 27ºC for 5 to 7 days (fungi) or at 30º for 7 days (bacteria). Regarding fungal distribution, thirteen different species/genera were found in the air, being the most common Alternaria sp. (62.0%). Eight different species/genera were identified in the surfaces, ranging from 2 to 5x104 CFU/m2, being the most common A. versicolor complex and Penicillium sp. (40.0%). The trial frames were the most contaminated equipment, since 50.0% of the collected samples were with countless colonies. The airborne bacterial population indicated higher concentrations in the contactology office (average: 133 CFU/m3) than in the client’s waiting rooms (average: 126 CFU/m3). The surface samples indicated bacterial concentrations ranging from 2x104 to 1x106 CFU/m2, pointing out the automatic refractometer as the surface with higher bacterial load.