Detection of Change in Fluorescence Between Reactive Cyan and the Yellow Fluorophores Using a-SiC:H Multilayer Transducers

The transducer consists of a semiconductor device based on two stacked -i-n heterostructures that were designed to detect the emissions of the fluorescence resonance energy transfer between fluorophores in the cyan (470 nm) and yellow (588 nm) range of the spectrum. This research represents a preliminary study on the use of such wavelength-sensitive devices as photodetectors for this kind of application. The device was characterized through optoelectronic measurements concerning spectral response measurements under different electrical and optical biasing conditions. To simulate the fluorescence resonance energy transfer (FRET) pairs, a chromatic time-dependent combination of cyan and yellow wavelengths was applied to the device. The generated photocurrent was measured under reverse and forward bias to read out the output photocurrent signal. A different wavelength-biasing light was also superimposed. Results show that under reverse bias, the photocurrent signal presents four separate levels, each one assigned to the different wavelength combinations of the FRET pairs. If a blue background is superimposed, the yellow channel is enhanced and the cyan suppressed, while under red irradiation, the opposite behavior occurs. So, under suitable biasing light, the transducer is able to detect separately the cyan and yellow fluorescence pairs. An electrical model, supported by a numerical simulation, supports the transduction mechanism of the device.

Detection of FRET signals with a wavelength sensitive device based on a-SiC:H

Glucose sensing is an issue with great interest in medical and biological applications. One possible approach to glucose detection takes advantage of measuring changes in fluorescence resonance energy transfer (FRET) between a fluorescent donor and an acceptor within a protein which undergoes glucose-induced changes in conformation. This demands the detection of fluorescent signals in the visible spectrum. In this paper we analyzed the emission spectrum obtained from fluorescent labels attached to a protein which changes its conformation in the presence of glucose using a commercial spectrofluorometer. Different glucose nanosensors were used to measure the output spectra with fluorescent signals located at the cyan and yellow bands of the spectrum. A new device is presented based on multilayered a-SiC:H heterostructures to detect identical transient visible signals. The transducer consists of a p-i'(a-SiC:H)-n/p-i(a-Si:H)-n heterostructure optimized for the detection of the fluorescence resonance energy transfer between fluorophores with excitation in the violet (400 nm) and emissions in the cyan (470 nm) and yellow (588 nm) range of the spectrum. Results show that the device photocurrent signal measured under reverse bias and using appropriate steady state optical bias, allows the separate detection of the cyan and yellow fluorescence signals. (C) 2013 Elsevier B.V. All rights reserved.

Accessing indoor fungal contamination using conventional and molecular methods in Portuguese poultries

Epidemiological studies showed increased prevalence of respiratory symptoms and adverse changes in pulmonary function parameters in poultry workers, corroborating the increased exposure to risk factors, such as fungal load and their metabolites. This study aimed to determine the occupational exposure threat due to fungal contamination caused by the toxigenic isolates belonging to the complex of the species of Aspergillus flavus and also isolates fromAspergillus fumigatus species complex. The study was carried out in seven Portuguese poultries, using cultural and molecularmethodologies. For conventional/cultural methods, air, surfaces, and litter samples were collected by impaction method using the Millipore Air Sampler. For the molecular analysis, air samples were collected by impinger method using the Coriolis μ air sampler. After DNA extraction, samples were analyzed by real-time PCR using specific primers and probes for toxigenic strains of the Aspergillus flavus complex and for detection of isolates from Aspergillus fumigatus complex. Through conventional methods, and among the Aspergillus genus, different prevalences were detected regarding the presence of Aspergillus flavus and Aspergillus fumigatus species complexes, namely: 74.5 versus 1.0% in the air samples, 24.0 versus 16.0% in the surfaces, 0 versus 32.6% in new litter, and 9.9 versus 15.9%in used litter. Through molecular biology, we were able to detect the presence of aflatoxigenic strains in pavilions in which Aspergillus flavus did not grow in culture. Aspergillus fumigatus was only found in one indoor air sample by conventional methods. Using molecular methodologies, however, Aspergillus fumigatus complex was detected in seven indoor samples from three different poultry units. The characterization of fungal contamination caused by Aspergillus flavus and Aspergillus fumigatus raises the concern of occupational threat not only due to the detected fungal load but also because of the toxigenic potential of these species.

Avaliação da tonopaquimetria como exame de rastreio de glaucoma primário de ângulo aberto

Mestrado em Gestão e Avaliação de Tecnologias em Saúde

Analysis and simulation of a-Si Ha-SiC HPINIP structures for color image detection

It is presented in this paper a study on the photo-electronic properties of multi layer a-Si: H/a-SiC: H p-i-n-i-p structures. This study is aimed to give an insight into the internal electrical characteristics of such a structure in thermal equilibrium, under applied Was and under different illumination condition. Taking advantage of this insight it is possible to establish a relation among-the electrical behavior of the structure the structure geometry (i.e. thickness of the light absorbing intrinsic layers and of the internal n-layer) and the composition of the layers (i.e. optical bandgap controlled through percentage of carbon dilution in the a-Si1-xCx: H layers). Showing an optical gain for low incident light power controllable by means of externally applied bias or structure composition, these structures are quite attractive for photo-sensing device applications, like color sensors and large area color image detector. An analysis based on numerical ASCA simulations is presented for describing the behavior of different configurations of the device and compared with experimental measurements (spectral response and current-voltage characteristic). (c) 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Automatic vehicle detection and classification

This paper presents a proposal for an automatic vehicle detection and classification (AVDC) system. The proposed AVDC should classify vehicles accordingly to the Portuguese legislation (vehicle height over the first axel and number of axels), and should also support profile based classification. The AVDC should also fulfill the needs of the Portuguese motorway operator, Brisa. For the classification based on the profile we propose:he use of Eigenprofiles, a technique based on Principal Components Analysis. The system should also support multi-lane free flow for future integration in this kind of environments.

An ultrasound based computer-aided diagnosis tool for steatosis detection

Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. In this paper, a new computer-aided diagnosis (CAD) system for steatosis classification, in a local and global basis, is presented. Bayes factor is computed from objective ultrasound textural features extracted from the liver parenchyma. The goal is to develop a CAD screening tool, to help in the steatosis detection. Results showed an accuracy of 93.33%, with a sensitivity of 94.59% and specificity of 92.11%, using the Bayes classifier. The proposed CAD system is a suitable graphical display for steatosis classification.

Simulação, em software adequado, da sintomatologia vibracional de avarias mecânicas de máquinas rotativas

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica na Área de Manutenção e Produção

Implementação de WDM com 4 canais no espetro do visível

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia de Electrónica e Telecomunicações

Validação de um método de cromatografia líquida de alta resolução (HPLC) para doseamento da vitamina D em géneros alimentícios: aplicação do método em diferentes matrizes alimentares

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Química e Biológica

Diagnóstico de avarias em motores elétricos

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

Fungal contamination in two Portuguese wastewater treatment plants

The presence of filamentous fungi was detected in wastewater and air collected at wastewater treatment plants (WWTP) from several European countries. The aim of the present study was to assess fungal contamination in two WWTP operating in Lisbon. In addition, particulate matter (PM) contamination data was analyzed. To apply conventional methods, air samples from the two plants were collected through impaction using an air sampler with a velocity air rate of 140 L/min. Surfaces samples were collected by swabbing the 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. For molecular methods, air samples of 250 L were also collected using the impinger method at 300 L/min airflow rate. Samples were collected into 10 ml sterile phosphate-buffered saline with 0.05% Triton X-100, and the collection liquid was subsequently used for DNA extraction. Molecular identification of Aspergillus fumigatus and Stachybotrys chartarum was achieved by real-time polymerase chain reaction (RT-PCR) using the Rotor-Gene 6000 qPCR Detection System (Corbett). Assessment of PM was also conducted with portable direct-reading equipment (Lighthouse, model 3016 IAQ). Particles concentration measurement was performed at five different sizes: PM0.5, PM1, PM2.5, PM5, and PM10. Sixteen different fungal species were detected in indoor air in a total of 5400 isolates in both plants. Penicillium sp. was the most frequently isolated fungal genus (58.9%), followed by Aspergillus sp. (21.2%) and Acremonium sp. (8.2%), in the total underground area. In a partially underground plant, Penicillium sp. (39.5%) was also the most frequently isolated, also followed by Aspergillus sp. (38.7%) and Acremonium sp. (9.7%). Using RT-PCR, only A. fumigatus was detected in air samples collected, and only from partial underground plant. Stachybotrys chartarum was not detected in any of the samples analyzed. The distribution of particle sizes showed the same tendency in both plants; however, the partially underground plant presented higher levels of contamination, except for PM2.5. Fungal contamination assessment is crucial to evaluating the potential health risks to exposed workers in these settings. In order to achieve an evaluation of potential health risks to exposed workers, it is essential to combine conventional and molecular methods for fungal detection. Protective measures to minimize worker exposure to fungi need to be adopted since wastewater is the predominant internal fungal source in this setting.

Towards the detection of deception in interactive multimedia environments

A classical application of biosignal analysis has been the psychophysiological detection of deception, also known as the polygraph test, which is currently a part of standard practices of law enforcement agencies and several other institutions worldwide. Although its validity is far from gathering consensus, the underlying psychophysiological principles are still an interesting add-on for more informal applications. In this paper we present an experimental off-the-person hardware setup, propose a set of feature extraction criteria and provide a comparison of two classification approaches, targeting the detection of deception in the context of a role-playing interactive multimedia environment. Our work is primarily targeted at recreational use in the context of a science exhibition, where the main goal is to present basic concepts related with knowledge discovery, biosignal analysis and psychophysiology in an educational way, using techniques that are simple enough to be understood by children of different ages. Nonetheless, this setting will also allow us to build a significant data corpus, annotated with ground-truth information, and collected with non-intrusive sensors, enabling more advanced research on the topic. Experimental results have shown interesting findings and provided useful guidelines for future work. Pattern Recognition

A fraude no Fundo Social Europeu

Mestrado em Auditoria

Avaliação da exposição a fungos e partículas em explorações avícolas e suinícolas: estudo

O projeto “Avaliação da Exposição a Fungos e Partículas em Explorações Avícolas e Suinícolas” contemplou um elevado número de colheitas ambientais e biológicas e respectivo processamento laboratorial, sendo apenas possível a sua concretização graças ao financiamento disponibilizado pela Autoridade para as Condições de Trabalho. Foi realizado um estudo transversal para avaliar a contaminação causada por fungos e partículas em 7 explorações avícolas e 7 explorações suinícolas. No que concerne à monitorização biológica, foram medidos os parâmetros espirométricos, utilizando o espirómetro MK8 Microlab, avaliada a existência de sintomas clínicos associados com a asma e outras doenças alérgicas, através de questionário adaptado European Community Respiratory Health Survey e, ainda, avaliada a sensibilização aos agentes fúngicos (IgE). Foram ainda adicionados dois objetivos ao estudo, designadamente: aferir a existência de três espécies/estirpes potencialmente patogénicas/toxinogénicas com recurso à biologia molecular e avaliar a exposição dos trabalhadores à micotoxina aflatoxina B1 por recurso a indicador biológico de exposição. Foram colhidas 27 amostras de ar de 25 litros nas explorações avícolas e 56 de 50 litros nas explorações suinícolas através do método de impacto. As colheitas de ar e a medição da concentração das partículas foram realizadas no interior e no exterior dos pavilhões, sendo este último considerado como local de referência. Simultaneamente, a temperatura e a humidade relativa também foram registadas. As colheitas das superfícies foram realizadas através da técnica de zaragatoa, tendo sido utilizado um quadrado de metal inoxidável de 10 cm de lado, de acordo com a International Standard ISO 18593 – 2004. As zaragatoas obtidas (20 das explorações avícolas e 48 das explorações suinícolas) foram inoculadas em malte de extract agar (2%) com cloranfenicol (0,05 g/L). Além das colheitas de ar e de superfícies, foram também obtidas colheitas da cama das explorações avícolas (7 novas e 14 usadas) e da cobertura do pavimento das explorações suinícolas (3 novas e 4 usadas) e embaladas em sacos esterilizados. Cada amostra foi diluída e inoculada em placas contendo malte extract agar. Todas as amostras foram incubadas a 27,5ºC durante 5 a 7 dias e obtidos resultados quantitativos (UFC/m3; UFC/m2; UFC/g) e qualitativos com a identificação das espécies fúngicas. Para a aplicação dos métodos de biologia molecular foram realizadas colheitas de ar de 300 litros utilizando o método de impinger com a velocidade de recolha de 300 L/min. A identificação molecular de três espécies potencialmente patogénicas e/ou toxinogénicas (Aspergillus flavus, Aspergillus fumigatus e Stachybotrys chartarum) foram obtidas por PCR em tempo real (PCR TR) utilizando o Rotor-Gene 6000 qPCR Detection System. As medições de partículas foram realizadas por recurso a equipamento de leitura direta (modelo Lighthouse, 2016 IAQ). Este recurso permitiu medir a concentração (mg/m3) de partículas em 5 dimensões distintas (PM 0.5; PM 1.0; PM 2.5; PM 5.0; PM10). Nas explorações avícolas, 28 espécies/géneros de fungos foram isolados no ar, tendo Aspergillus versicolor sido a espécie mais frequente (20.9%), seguida por Scopulariopsis brevicaulis (17.0%) e Penicillium sp. (14.1%). Entre o género Aspergillus, Aspergillus flavus apresentou o maior número de esporos (>2000 UFC/m3). Em relação às superfícies, A. versicolor foi detetada em maior número (>3 × 10−2 UFC/m2). Na cama nova, Penicillium foi o género mais frequente (59,9%), seguido por Alternaria (17,8%), Cladosporium (7,1%) e Aspergillus (5,7%). Na cama usada, Penicillium sp. foi o mais frequente (42,3%), seguido por Scopulariopsis sp. (38,3%), Trichosporon sp. (8,8%) e Aspergillus sp. (5,5%). Em relação à contaminação por partículas, as partículas com maior dimensão foram detectadas em maiores concentrações, designadamente as PM5.0 (partículas com a dimensão de 5.0 bm ou menos) e PM10 (partículas com a dimensão de 10 bm ou menos). Neste setting a prevalência da alteração ventilatória obstrutiva foi superior nos indivíduos com maior tempo de exposição (31,7%) independentemente de serem fumadores (17,1%) ou não fumadores (14,6%). Relativamente à avaliação do IgE específico, foi apenas realizado em trabalhadores das explorações avícolas (14 mulheres e 33 homens), não tendo sido encontrada associação positiva (p<0.05%) entre a contaminação fúngica e a sensibilização a antigénios fúngicos. No caso das explorações suinícolas, Aspergillus versicolor foi a espécie mais frequente (20,9%), seguida por Scopulariopsis brevicaulis (17,0%) e Penicillium sp. (14,1%). No género Aspergillus, A. versicolor apresentou o maior isolamento no ar (>2000 UFC/m3) e a maior prevalência (41,9%), seguida por A. flavus e A. fumigatus (8,1%). Em relação às superfícies analisadas, A. versicolor foi detetada em maior número (>3 ×10−2 UFC/m2). No caso da cobertura do pavimento das explorações suinícolas, o género Thicoderma foi o mais frequente na cobertura nova (28,0%) seguida por A. versicolor e Acremonium sp. (14,0%). O género Mucor foi o mais frequente na cobertura usada (25,1%), seguido por Trichoderma sp. (18,3%) e Acremonium sp. (11,2%). Relativamente às partículas, foram evidenciados também valores mais elevados na dimensão PM5 e, predominantes nas PM10. Neste contexto, apenas 4 participantes (22,2%) apresentaram uma alteração ventilatória obstrutiva. Destes, as obstruções mais graves encontraram-se nos que também apresentavam maior tempo de exposição. A prevalência de asma na amostra de trabalhadores em estudo, pertencentes aos 2 contextos em estudo, foi de 8,75%, tendo-se verificado também uma prevalência elevada de sintomatologia respiratória em profissionais não asmáticos. Em relação à utilização complementar dos métodos convencionais e moleculares, é recomendável que a avaliação da contaminação fúngica nestes settings, e, consequentemente, a exposição profissional a fungos, seja suportada pelas duas metodologias e, ainda, que ocorre exposição ocupacional à micotoxina aflatoxina B1 em ambos os contextos profissionais. Face aos resultados obtidos, é importante salientar que os settings alvo de estudo carecem de uma intervenção integrada em Saúde Ocupacional no âmbito da vigilância ambiental e da vigilância da saúde, com o objetivo de diminuir a exposição aos dois factores de risco estudados (fungos e partículas).