Synthesis of an antibody-like material for the detection of Albumin

6th Graduate Student Symposium on Molecular Imprinting

Smart Plastic Antibody Material for Hemoglobin Tailored by Silica Surface Imprinting and with Charged Binding Sites: Its use as Ionophore in Potentiometric Transduction

JORNADAS DE ELECTROQUÍMICA E INOVAÇÃO 2013

A novel antibody-like material for breast cancer antigen CA15-3, used to track breast cancer by potentiometric transduction

This work presents the development of a low cost sensor device for the diagnosis of breast cancer in point-of-care, made with new synthetic biomimetic materials inside plasticized poly(vinyl chloride), PVC, membranes, for subsequent potentiometric detection. This concept was applied to target a conventional biomarker in breast cancer: Breast Cancer Antigen (CA15-3). The new biomimetic material was obtained by molecularly-imprinted technology. In this, a plastic antibody was obtained by polymerizing around the biomarker that acted as an obstacle to the growth of the polymeric matrix. The imprinted polymer was specifically synthetized by electropolymerization on an FTO conductive glass, by using cyclic voltammetry, including 40 cycles within -0.2 and 1.0 V. The reaction used for the polymerization included monomer (pyrrol, 5.0×10-3 mol/L) and protein (CA15-3, 100U/mL), all prepared in phosphate buffer saline (PBS), with a pH of 7.2 and 1% of ethylene glycol. The biomarker was removed from the imprinted sites by proteolytic action of proteinase K. The biomimetic material was employed in the construction of potentiometric sensors and tested with regard to its affinity and selectivity for binding CA15-3, by checking the analytical performance of the obtained electrodes. For this purpose, the biomimetic material was dispersed in plasticized PVC membranes, including or not a lipophilic ionic additive, and applied on a solid conductive support of graphite. The analytical behaviour was evaluated in buffer and in synthetic serum, with regard to linear range, limit of detection, repeatability, and reproducibility. This antibody-like material was tested in synthetic serum, and good results were obtained. The best devices were able to detect 5 times less CA15-3 than that required in clinical use. Selectivity assays were also performed, showing that the various serum components did not interfere with this biomarker. Overall, the potentiometric-based methods showed several advantages compared to other methods reported in the literature. The analytical process was simple, providing fast responses for a reduced amount of analyte, with low cost and feasible miniaturization. It also allowed the detection of a wide range of concentrations, diminishing the required efforts in previous sample pre-treating stages.

Sol-gel biomimetic material designed to target CEA cancer biomarker

1st ASPIC International Congress

Cravo de Pascal Taskin (1782): caracterização material da policromia exterior

Dissertação para obtenção do Grau de Mestre em Conservação e Restauro, Especialização em Ciências da Conservação

Generalized Extraction of Real-Time Parameters for Homogeneous Synchronous Dataflow Graphs

23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2015). 4 to 6, Mar, 2015. Turku, Finland.

Response Time Analysis for Fixed-Priority Tasks with Multiple Probabilistic Parameters

Demo presented in 12th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2015). 8 to 12, Jun, 2015. La Roche-en-Ardenne, Belgium. Extended abstract.

Projecto de Instalação de Processamento de Material Feldspático. Caso de Estudo:Argemela

Feldspato é o nome dado a uma importante família de minerais, do grupo dos tectossilicatos, que compõem o material rochoso de mais de 60% da crusta terrestre. Estes minerais são constituintes essenciais da maior parte das rochas cristalinas e a sua importância é tal que o seu estudo constitui um capítulo fundamental da petrografia. Dada a sua grande incidência na crusta terrestre, os feldspatos ocorrem em diversos cenários geológicos, desde os depósitos pegmatitos, aos aplitos, granitos, sienitos nefelínicos e ainda areias feldspáticas. As suas características químicas, físicas e mineralógicas fazem com que este grupo de minerais esteja presente nas mais diversificadas indústrias, tais como a vidreira, cerâmica, tintas, borrachas, plásticos, abrasivos ligeiros, elétrodos de soldadura, entre outros. Em Portugal, as principais unidades produtoras de feldspatos encontram‐se distribuídas pelo Norte e Centro do país, mais concretamente pelos distritos de Viana do Castelo, Braga, Vila Real, Porto, Viseu e Guarda. Novos estudos geológicos acompanhados de prospeções, nomeadamente na região do maciço central, têm sido efetuados com vista à descoberta de novos depósitos com potencial para exploração deste importante mineral. O depósito aplítico da Argemela, no concelho do Fundão apresenta‐se como um depósito cujas dimensões e qualidade apresentadas indicam a possibilidade de exploração. Nesse sentido, o presente trabalho consiste em analisar e caracterizar os materiais presentes na quele depósito mineral, tendo em vista a respectiva aplicação industrial, e posteriormente propor uma instalação de processamento do material para que o mesmo seja comercializado. Também será objeto deste trabalho a análise da viabilidade económica do projeto, mais concretamente fazendo a previsão do investimento inicial de modo a somar os custos de produção correntes e avaliar o retorno com base na comercialização do material no modo “Ex Works”.

Development of a SPE–UHPLC–MS/MS methodology for thedetermination of non-steroidal anti-inflammatory and analgesicpharmaceuticals in seawaterPaula

An analytical methodology for the simultaneous determination of seven pharmaceuticals and two metabolites belonging to the non-steroidal anti-inflammatory drugs (NSAIDs) and analgesics therapeutic groups was developed based on off-line solid-phase extraction and ultra-high performance liquid chromatography coupled to tandem mass spectrometry (SPE–UHPLC–MS/MS). Extraction conditions were optimized taking into account parameters like sorbent material, sample volume and sample pH. Method detection limits (MDLs) ranging from 0.02 to 8.18 ng/L were obtained. This methodology was successfully applied to the determination of the selected pharmaceuticals in seawater samples of Atlantic Ocean in the Northern Portuguese coast. All the pharmaceuticals have been detected in the seawater samples, with pharmaceuticals like ibuprofen, acetaminophen, ketoprofen and the metabolite hydroxyibuprofen being the most frequently detected at concentrations that can reach some hundreds of ng/L.

A comparison of the immune parameters of dogs infected with visceral leishmaniasis using Western blot and neutralization techniques

The Western blot technique was used to demonstrate the presence of antibodies in the blood of dogs that presented canine visceral leishmaniasis. This technique was used against some specific molecules present in the lysate of the promastigote form of Leshmania chagasi.Through the association of the results of the Western blot technique with the morphological alterations seen as a result of the serum neutralization technique performed in McCoy cells (which mimetizes the macrophage) it was possible to observe the role of some molecules of great relevance in determining the disease in symptomatic dogs as well as that of some other molecules associated with asymptomatic infected dogs that may become transmitters as well as differentiating them as asymptomatic resistant dogs. In the sera analyses carried out during the immunobloting a variation of 9 to 27 immunoreacting bands was observed, which were then compared using Dice's similarity coefficient. In the dendrogram constructed on the basis of the coefficient, 50% similarity was observed among the total number of reagent bands with the promastigote lysate, thus creating five groups. The main difference observed related to the clinical condition of the dogs: symptomatic and asymptomatic dogs were found in separate groups. The asymptomatic group of dogs was distributed in two different places in the dendrogram because they presented two different behavior patterns regarding the cellular morphology in the serum neutralization reaction: the presence or absence of cellular lysis. According to this analysis it is possible to evaluate the immune status and associate it with specific markers observed in the reaction found in the Western blot strips.

A música como expressão e cognição: a propositósito do conceito de "crítica imanente do material" em adorno

Numa recensão às conferências sobre "Metafísica - Conceitos e Problemas" {Metaphysik. Begriffe und Probleme), proferidas por Adorno, na Universidade de Frankfurt, no segundo semestre de 1965 e publicadas postumamente, o filósofo dinamarquês Stâle R. S. Finke (1999) analisa os "esforços" de Adorno por "recuperar a concepção da experiência metafísica". Uma tal recuperação teria de ser compreendida num quadro de pensamento que é o da "dialéctica negativa", por sua vez tributária dos padrões kantianos de "consciência conceptual e autonomia moral" que Adorno articula naquilo a que Finke chama o "projecto" ou o "ideal de liberdade expressiva". O conceito de experiência metafísica, formulado nas referidas conferências, seria, assim, da maior importância para Adorno, pois que nele se daria expressão ao objectivo da "dialéctica negativa" (a Negative Dialektik foi publicada no ano seguinte, 1966): "a invocação do não-idêntico como condição de experiência e de expressão". "Relacionada intrinsecamente" com o "donnnio da experiência possível", histórica e cultural, isto é, com tudo aquilo que constrange a autonomia (por um lado permitindo, por outro lado limitando as possibilidades do eu), a concepção da experiência metafísica em Adorno convoca essas possibilidades do eu como inalcançadas

Determinantes Cardíacas do Tempo de Ventilação Mecânica e Mortalidade de Doentes com Insuficiência Respiratória Crónica Exacerbada. A Importância dos Parâmetros Ecocardiográficos

Objectivo: estudar determinantes cardiovasculares condicionantes do tempo de ventilação, mortalidade e gravidade de doença em doentes admitidos numa unidade de cuidados intensivos para ventilação mecânica por exacerbação de insuficiência respiratória crónica. Desenho e local: Estudo prospectivo, com duração de 30 meses numa unidade de cuidados intensivos médico-cirúrgica com 14 camas.Material e métodos: Estudados 59 doentes com idade média de 74,7 +/- 9,7 anos, tempo médio de ventilação de 10,8 +/- 12,6 dias, APACHE II médio de 23 +/- 8,3. Avaliaram-se parâmetros ecocardiográficos (dimensões das cavidades, débito cardíaco, estudo Doppler do fluxo transvalvular mitral, estudo da veia cava inferior) e electrocardiográficos(presença de ritmo sinusal ou fibrilhação auricular) nas primeiras 24 horas de internamento na Unidade e parâmetros gasimétricos à saída. Resultados: Um tempo de ventilação mais prolongado associou-se à presença de fibrilhação auricular (p=0,027), à presença conjunta de fibrilhação auricular e uma veia cava inferior dilatada (> 20mm p=0,004) e com níveis séricos de bicarbonato> 35mEq/l na gasimetria obtida à saída (p=0,04). Verificaram-se 12 óbitos. A mortalidade associou-se à presença de dilatação do ventrículo direito (p=0,03) e a uma relação entre o ventrículo direito e o esquerdo> 0,6 (p=0,04). Conclusão: Nos doentes submetidos a ventilação mecânica por exacerbação de insuficiência respiratória crónica, a presença de fibrilhação auricular indica a possibilidade de um período de ventilação mais prolongado, em especial se houver concomitantemente uma veia cava inferior com diâmetro> 20mm. Nestes doentes, a presença de dilatação das cavidades direitas pode indicar uma probabilidade mais elevada de mortalidade.

Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus

In the last two decades, small strain shear modulus became one of the most important geotechnical parameters to characterize soil stiffness. Finite element analysis have shown that in-situ stiffness of soils and rocks is much higher than what was previously thought and that stress-strain behaviour of these materials is non-linear in most cases with small strain levels, especially in the ground around retaining walls, foundations and tunnels, typically in the order of 10−2 to 10−4 of strain. Although the best approach to estimate shear modulus seems to be based in measuring seismic wave velocities, deriving the parameter through correlations with in-situ tests is usually considered very useful for design practice.The use of Neural Networks for modeling systems has been widespread, in particular within areas where the great amount of available data and the complexity of the systems keeps the problem very unfriendly to treat following traditional data analysis methodologies. In this work, the use of Neural Networks and Support Vector Regression is proposed to estimate small strain shear modulus for sedimentary soils from the basic or intermediate parameters derived from Marchetti Dilatometer Test. The results are discussed and compared with some of the most common available methodologies for this evaluation.

Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus

In the last two decades, small strain shear modulus became one of the most important geotechnical parameters to characterize soil stiffness. Finite element analysis have shown that in-situ stiffness of soils and rocks is much higher than what was previously thought and that stress-strain behaviour of these materials is non-linear in most cases with small strain levels, especially in the ground around retaining walls, foundations and tunnels, typically in the order of 10−2 to 10−4 of strain. Although the best approach to estimate shear modulus seems to be based in measuring seismic wave velocities, deriving the parameter through correlations with in-situ tests is usually considered very useful for design practice.The use of Neural Networks for modeling systems has been widespread, in particular within areas where the great amount of available data and the complexity of the systems keeps the problem very unfriendly to treat following traditional data analysis methodologies. In this work, the use of Neural Networks and Support Vector Regression is proposed to estimate small strain shear modulus for sedimentary soils from the basic or intermediate parameters derived from Marchetti Dilatometer Test. The results are discussed and compared with some of the most common available methodologies for this evaluation.