Host-Tailored Sensors for Carnitine Potentiometric Measurements based on Surface Molecular Imprinting

Graduate Student Symposium on Molecular Imprinting 2013, na Queen’s University, Belfast, United Kingdom, 15 a 17 de Agosto de 2013

A framework for using real data with distributed low cost sensors

Currently, due to the widespread use of computers and the internet, students are trading libraries for the World Wide Web and laboratories with simulation programs. In most courses, simulators are made available to students and can be used to proof theoretical results or to test a developing hardware/product. Although this is an interesting solution: low cost, easy and fast way to perform some courses work, it has indeed major disadvantages. As everything is currently being done with/in a computer, the students are loosing the “feel” of the real values of the magnitudes. For instance in engineering studies, and mainly in the first years, students need to learn electronics, algorithmic, mathematics and physics. All of these areas can use numerical analysis software, simulation software or spreadsheets and in the majority of the cases data used is either simulated or random numbers, but real data could be used instead. For example, if a course uses numerical analysis software and needs a dataset, the students can learn to manipulate arrays. Also, when using the spreadsheets to build graphics, instead of using a random table, students could use a real dataset based, for instance, in the room temperature and its variation across the day. In this work we present a framework which uses a simple interface allowing it to be used by different courses where the computers are the teaching/learning process in order to give a more realistic feeling to students by using real data. A framework is proposed based on a set of low cost sensors for different physical magnitudes, e.g. temperature, light, wind speed, which are connected to a central server, that the students have access with an Ethernet protocol or are connected directly to the student computer/laptop. These sensors use the communication ports available such as: serial ports, parallel ports, Ethernet or Universal Serial Bus (USB). Since a central server is used, the students are encouraged to use sensor values results in their different courses and consequently in different types of software such as: numerical analysis tools, spreadsheets or simply inside any programming language when a dataset is needed. In order to do this, small pieces of hardware were developed containing at least one sensor using different types of computer communication. As long as the sensors are attached in a server connected to the internet, these tools can also be shared between different schools. This allows sensors that aren't available in a determined school to be used by getting the values from other places that are sharing them. Another remark is that students in the more advanced years and (theoretically) more know how, can use the courses that have some affinities with electronic development to build new sensor pieces and expand the framework further. The final solution provided is very interesting, low cost, simple to develop, allowing flexibility of resources by using the same materials in several courses bringing real world data into the students computer works.

Nitrite biosensing via selective enzymes—a long but promising route

Sensors 2010, 10, 11530-11555

SI SC MDAC switched current-capacitor multiplying digital-to-analog converter

Dissertação apresentada para a obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

Diabetic Foot Infections: Current Diagnosis and Treatment

Diabetes mellitus (DM) is a global epidemic, and diabetic foot ulcer (DFU) is one of its most serious and costly complications. DFUs result from a complex interaction of a number of risk factors. Once the protective layer of skin is broken, deep tissues are exposed to bacterial infection that progresses rapidly. Patients with DFUs frequently require amputations of the lower limbs and, in more than half the cases, infection is the preponderant factor. Given the challenges of treating these complex infections, this paper aims to provide a hospital-based framework for the diagnosis and treatment of diabetic foot infections (DFIs). We propose a treatment-oriented assessment of DFIs based on a cross-examination of the medical, foot, and wound history; a systemized and detailed physical examination; and the results of complementary diagnostic procedures. We stress the need for a clinical diagnosis of DFIs and the importance of microbiological evaluation for antibiotic therapy guidance. Regarding treatment, we propose a multidisciplinary approach prioritizing invasive infection drainage, necrosis debridement, and the prompt start of empirical antibiotic therapy, followed by complete and appropriate vascular reconstruction. For severe DFIs, we suggest that negative pressure wound therapy (NPWT) be included in the treatment pathway. We also provide rules for managing particular situations, such as osteomyelitis. It is our hope that this protocol will improve the hospital management of DFIs and, ultimately, the prognosis of DFI patients.

Molecularly imprinted electrochemical sensor for ochratoxin A detection in food samples

A novel electrochemical sensor for ochratoxin A (OTA) detection was fabricated through the modification of a glassy carbon electrode (GCE) with multiwalled carbon nanotubes (MWCNTs) and a molecularly imprinted polymer (MIP). The MWCNTs dramatically promoted the sensitivity of the developed sensor, while polypyrrole (PPy) imprinted with OTA served as the selective recognition element. The imprinted PPy film was prepared by electropolymerization of pyrrole in the presence of OTA as a template molecule via cyclic voltammetry (CV). The electrochemical oxidation of OTA at the developed sensor was investigated by CV and differential pulse voltammetry (DPV). The developed MIP/MWCNT/GCE sensor showed a linear relationship, when using DPV, between peak current intensity and OTA concentration in the range between 0.050 and 1.0 μM, with limits of detection (LOD) and quantification of 0.0041 μM (1.7 μg/L) and 0.014 μM (5.7 μg/L) respectively. With the developed sensor precise results were obtained; relative standard deviations of 4.2% and 7.5% in the evaluation of the repeatability and reproducibility, respectively. The MIP/MWCNT/GCE sensor is simple to fabricate and easy to use and was successfully applied to the determination of OTA in spiked beer and wine samples, with recoveries between 84 and 104%, without the need of a sample pre-treatment step.

Molecularly imprinted sensor for voltammetric detection of norfloxacin

In this work, a norfloxacin selective modified glassy carbon electrode (GCE) based on a molecularly imprinted polymer (MIP) as electrochemical sensor was developed. A suspension of multi-walled carbon nanotubes (MWCNTs) was deposited on the electrode surface. Subsequently, a molecularly imprinted film was prepared by electropolymerization, via cyclic voltammetry of pyrrole (PPy) in the presence of norfloxacin (NFX) as the template molecule. A control electrode (NIP) was also prepared. Scanning electron microscopy (SEM) and cyclic voltammetry in a ferrocyanide solution were performed for morphological and electrochemical characterisation, respectively. Several experimental parameters were studied and optimised. For quantification purposes the MIP/MWCNT/GCE was immersed in NFX solutions for 10 min, and the detection was performed in voltammetric cell by square wave voltammetry. The proposed sensor presented a linear behaviour, between peak current intensity and logarithmic concentration of NFX between 1 × 10−7 and 8 × 10−6 M. The obtained results presented good precision, with a repeatability of 4.3% and reproducibility of 9% and the detection limit was 4.6 × 10−8 M (S/N = 3). The developed sensor displayed good selectivity and operational lifetime, is simple to fabricate and easy to operate and was successfully applied to the analysis of NFX in urine samples.

Chagas disease cardiomyopathy: current concepts of an old disease

Chagas disease continues to be a significant public health problem, as ca. 10 million people are still infected with T. cruzi in Latin America. Decades after primary infection, 30% of individuals can develop a form of chronic inflammatory cardiomyopathy known as Chagas disease cardiomyopathy (CCC). Data from both murine models and human studies support the view that an autoimmune response as well as a parasite-driven immune response involving inflammatory cytokines and chemokines may both play a role in generating the heart lesions leading to CCC. This review aims to summarize recent advances in the understanding of the immunopathogenesis of Chagas disease cardiomyopathy.

Acute postsurgical suppurative parotitis: current prevalence at Hospital das Clínicas, São Paulo University Medical School

Postsurgical acute suppurative parotitis is a bacterial gland infection that occurs from a few days up to some weeks after abdominal surgical procedures. In this study, the authors analyze the prevalence of this complication in Hospital das Clínicas/São Paulo University Medical School by prospectively reviewing the charts of patients who underwent surgeries performed by the gastroenterological and general surgery staff from 1980 to 2005. Diagnosis of parotitis or sialoadenitis was analyzed. Sialolithiasis and chronic parotitis previous to hospitalization were exclusion criteria. In a total of 100,679 surgeries, 256 patients were diagnosed with parotitis or sialoadenitis. Nevertheless, only three cases of acute postsurgical suppurative parotitis associated with the surgery were identified giving an incidence of 0.0028%. All patients presented with risk factors such as malnutrition, immunosuppression, prolonged immobilization and dehydration. In the past, acute postsurgical suppurative parotitis was a relatively common complication after major abdominal surgeries. Its incidence decreased as a consequence of the improvement of perioperative antibiotic therapy and postoperative support. In spite of the current low incidence, we believe it is important to identify risks and diagnose as quick as possible, in order to introduce prompt and appropriate therapeutic measures and avoid potentially fatal complications with the evolution of the disease.

Current distribution of Achatina fulica, in the State of São Paulo including records of Aelurostrongylus abstrusus (Nematoda) larvae infestation

The currently known distribution range of Achatina fulica Bowdich, 1822, in the state of São Paulo, Brazil, is presented. The record of A. fulica naturally infested with Aelurostrongylus abstrusus larvae (Railliet, 1898) (Nematoda: Metastrongylidae) can be found in the city of Guaratinguetá. It was found A. fulica with Metastrongylidae larvae without known medical and veterinary importance in the cities of Carapicuíba, Embu-Guaçu, Itapevi, São Caetano do Sul, São Paulo and Taboão da Serra.

Recommendation of Tourism Resources Supported by Crowdsourcing

Context-aware recommendation of personalised tourism resources is possible because of personal mobile devices and powerful data filtering algorithms. The devices contribute with computing capabilities, on board sensors, ubiquitous Internet access and continuous user monitoring, whereas the filtering algorithms provide the ability to match the profile (interests and the context) of the tourist against a large knowledge bases of tourism resources. While, in terms of technology, personal mobile devices can gather user-related information, including the user context and access multiple data sources, the creation and maintenance of an updated knowledge base of tourism-related resources requires a collaborative approach due to the heterogeneity, volume and dynamic nature of the resources. The current PhD thesis aims to contribute to the solution of this problem by adopting a Crowdsourcing approach for the collaborative maintenance of the knowledge base of resources, Trust and Reputation for the validation of uploaded resources as well as publishers, Big Data for user profiling and context-aware filtering algorithms for the personalised recommendation of tourism resources.

Amostragem Adaptativa em Redes de Sensores

Uma nova área tecnológica está em crescente desenvolvimento. Esta área, denominada de internet das coisas, surge na necessidade de interligar vários objetos para uma melhoria a nível de serviços ou necessidades por parte dos utilizadores. Esta dissertação concentra-se numa área específica da tecnologia internet das coisas que é a sensorização. Esta rede de sensorização é implementada pelo projeto europeu denominado de Future Cities [1] onde se cria uma infraestrutura de investigação e validação de projetos e serviços inteligentes na cidade do Porto. O trabalho realizado nesta dissertação insere-se numa das plataformas existentes nessa rede de sensorização: a plataforma de sensores ambientais intitulada de UrbanSense. Estes sensores ambientais que estão incorporados em Data Collect Unit (DCU), também denominados por nós, medem variáveis ambientais tais como a temperatura, humidade, ozono e monóxido de carbono. No entanto, os nós têm recursos limitados em termos de energia, processamento e memória. Apesar das grandes evoluções a nível de armazenamento e de processamento, a nível energético, nomeadamente nas baterias, não existe ainda uma evolução tão notável, limitando a sua operacionalidade [2]. Esta tese foca-se, essencialmente, na melhoria do desempenho energético da rede de sensores UrbanSense. A principal contribuição é uma adaptação do protocolo de redes Ad Hoc OLSR (Optimized Link State Routing Protocol) para ser usado por nós alimentados a energia renovável, de forma a aumentar a vida útil dos nós da rede de sensorização. Com esta contribuição é possível obter um maior número de dados durante períodos de tempo mais longos, aproximadamente 10 horas relativamente às 7 horas anteriores, resultando numa maior recolha e envio dos mesmos com uma taxa superior, cerca de 500 KB/s. Existindo deste modo uma aproximação analítica dos vários parâmetros existentes na rede de sensorização. Contudo, o aumento do tempo de vida útil dos nós sensores com recurso à energia renovável, nomeadamente, energia solar, incrementa o seu peso e tamanho que limita a sua mobilidade. Com o referido acréscimo a determinar e a limitar a sua mobilidade exigindo, por isso, um planeamento prévio da sua localização. Numa primeira fase do trabalho analisou-se o consumo da DCU, visto serem estes a base na infraestrutura e comunicando entre si por WiFi ou 3G. Após uma análise dos protocolos de routing com iv suporte para parametrização energética, a escolha recaiu sobre o protocolo OLSR devido à maturidade e compatibilidade com o sistema atual da DCU, pois apesar de existirem outros protocolos, a implementação dos mesmos, não se encontram disponível como software aberto. Para a validação do trabalho realizado na presente dissertação, é realizado um ensaio prévio sem a energia renovável, para permitir caracterização de limitações do sistema. Com este ensaio, tornou-se possível verificar a compatibilidade entre os vários materiais e ajustamento de estratégias. Num segundo teste de validação é concretizado um ensaio real do sistema com 4 nós a comunicar, usando o protocolo com eficiência energética. O protocolo é avaliado em termos de aumento do tempo de vida útil do nó e da taxa de transferência. O desenvolvimento da análise e da adaptação do protocolo de rede Ad Hoc oferece uma maior longevidade em termos de tempo de vida útil, comparando ao que existe durante o processamento de envio de dados. Apesar do tempo de longevidade ser inferior, quando o parâmetro energético se encontra por omissão com o fator 3, a realização da adaptação do sistema conforme a energia, oferece uma taxa de transferência maior num período mais longo. Este é um fator favorável para a abertura de novos serviços de envio de dados em tempo real ou envio de ficheiros com um tamanho mais elevado.

GVSOS: A New Client for OGC SOS Interface Standard

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Management of Childhood Urticaria: Current Knowledge and Practical Recommendations

Urticaria, defined by the presence of wheals and/or angioedema,is a common condition in children, prompting parents to consult physicians. For its successful management, paediatric-specific features must be taken into account, regarding the identification of eliciting triggers and pharmacological therapy. This review systematically discusses the current best-available evidence on spontaneous acute and chronic urticaria as well as physical and other urticaria types in children. Potential underlying causes, namely infections, food and drug hypersensitivity, autoreactivity and autoimmune or other conditions, and eliciting stimuli are considered, with practical recommendations for specific diagnostic approaches. Second-generation antihistamines are the mainstay of pharmacological treatment aimed at relief of symptoms, which require dose adjustment for paediatric use. Other therapeutic interventions are also discussed. In addition, unmet needs are highlighted, aiming to promote research into the paediatric population, ultimately aiming at the effective management of childhood urticaria.