17 resultados para Bi-enzymatic biosensor

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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This work describes the formation of transformation products (TPs) by the enzymatic degradation at laboratory scale of two highly consumed antibiotics: tetracycline (Tc) and erythromycin (ERY). The analysis of the samples was carried out by a fast and simple method based on the novel configuration of the on-line turbulent flow system coupled to a hybrid linear ion trap – high resolution mass spectrometer. The method was optimized and validated for the complete analysis of ERY, Tc and their transformation products within 10 min without any other sample manipulation. Furthermore, the applicability of the on-line procedure was evaluated for 25 additional antibiotics, covering a wide range of chemical classes in different environmental waters with satisfactory quality parameters. Degradation rates obtained for Tc by laccase enzyme and ERY by EreB esterase enzyme without the presence of mediators were ∼78% and ∼50%, respectively. Concerning the identification of TPs, three suspected compounds for Tc and five of ERY have been proposed. In the case of Tc, the tentative molecular formulas with errors mass within 2 ppm have been based on the hypothesis of dehydroxylation, (bi)demethylation and oxidation of the rings A and C as major reactions. In contrast, the major TP detected for ERY has been identified as the “dehydration ERY-A”, with the same molecular formula of its parent compound. In addition, the evaluation of the antibiotic activity of the samples along the enzymatic treatments showed a decrease around 100% in both cases

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"Vegeu el resum a l'inici del document del fitxer adjunt."

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Ontogenetic changes in digestive capabilities were analyzed in larvae and first juveniles of the spider crab Maja brachydactyla. Activities of five proteinases (total proteases, trypsin, chymotrypsin, pepsin-like and aminopeptidase), three carbohydrases (amylase, maltase and chitinase), an esterase and an alkaline phosphatase were studied to evaluate digestive enzyme profiles of the species. Both quantitative (spectrophotometry and fluorometry) and qualitative (SDS-PAGE) approaches were used. All assayed enzymes were active from hatching (zoea I-ZI) throughout larval development and in first juveniles. Significant variations during ontogeny were found only in total activities likely as a consequence of digestive system development. Specific activity varied little over ontogeny, being significant only for chitinase. Total proteases, trypsin and pepsin-like activities showed a similar pattern of increase as larval ontogeny advanced, decreasing significantly in juveniles. Chymotrypsin continued to increase, showing maximum activity after metamorphosis. Proteinase zymograms confirmed strong proteolytic activity in first zoeas, with increasing bands over the course of ontogeny, decreasing after metamorphosis. A group of bands with high molecular mass was specific to larval stages. Amylase and maltase showed a parallel pattern of continuous increase of total activity as development advanced. Gel-SDS-PAGE showed unchanged patterns of amylase activity in first zoeas of different ages and the most complex set of bands during larval ontogeny in second zoea. Esterase total activity increased significantly as ZI's aged likely reflecting introduction of a lipid-enriched diet. The importance of lipid accumulation at the beginning of ontogeny was also confirmed by the protease/esterase and amylase/esterase activity ratios, which decreased from hatch to late ZI and might be explained as an adaptation, ensuring the next molt. The results suggest that larvae of M. brachydactyla are capable of digesting a variety of dietary substrates as soon as they hatch.

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Proyecto de implantación de un sistema de business intelligence para el análisis de la calidad de un servicio. El objetivo del presente proyecto es el análisis de una herramienta de apoyo al estudio de la calidad de un servicio, en este caso, servicio sanitario, enfocada desde la perspectiva del área de Ingeniería del software.

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El presente documento tiene por objetivo identificar la evolución que ha tenido la inteligencia de negocios en la ultima década, para determinar en que punto se encuentra y para donde va, además de identificar las alternativas de desarrollo que tiene, apalancándose con las Tecnologías de la Información, y más específicamente con las herramientas empaquetadas de BI de tipo Open Source.Así mismo, la presente investigación identifica las prácticas más convenientes, para sistematizar la elección y adaptación de la inteligencia de negocios en las organizaciones, analizando estas en uncaso exitoso real de implantación de la inteligencia de negocios sobre una herramienta BI tipo Open Source.

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Actualmente muchas empresas ya sean grandes o pequeñas, se plantean implantar en su organización un sistema de información que les ayude en la toma de decisiones. Una de las tendencias actuales es implantar un sistema de BI (Business Intelligence). Muchas organizaciones implantan este tipo de sistemas sin haber realizado un estudio previo de las necesidades y problemas de la empresa, de los beneficios que se pretenden obtener con la implantación del sistema, de la aceptación y formación de los usuarios, de las herramientas y proveedores de BI,... y así un largo etcétera de situaciones y condiciones que se deberían tener en cuenta para la implantación de esta clase de sistemas en cualquier tipo de organización, ya sea grande o pequeña.En el presente artículo se realiza una síntesis de la amalgama de información existente en los sistemas de BI, se realiza una definición aclaratoria, así como también se expone su estado actual, beneficios, factores de riesgo, pasos para conseguir una implantación exitosa y los componentes y herramientas open source de los sistemas de BI. Primero se exponen las principales herramientas open source existentes en el mercado y se profundiza más especialmente en la Suite open source de BI Pentaho.

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La infección por el Virus de Inmunodeficiencia Humano (VIH) y el Síndrome de Inmunodeficiencia adquirida (SIDA) afecta a millones de personas en todo el mundo, y constituye una amenaza a la salud y la vida de muchas otras más, sobre todo en países en vías de desarrollo. Existe un gran interés en el desarrollo de nuevas metodologías analíticas para el diagnóstico de dicha enfermedad de forma rápida, económica y fuera del ámbito del laboratorio por personal no especializado. Los biosensores son dispositivos ideales para cubrir esta demanda analítica facilitando la toma de decisiones y permitiendo un uso racional de técnicas analíticas confirmatorias más costosas. Se plantea el diseño de una estrategia magneto-ELISA con detección óptica así como un dispositivo magneto biosensor electroquímico para el diagnóstico de SIDA a través del recuento de células marcadoras de la enfermedad presentes en la sangre. Ambas estrategias se basan en la captura inmunomagnética de linfocitos T CD4+ con partículas magnéticas modificadas con anticuerpos monoclonales específicos (anti-CD3). La detección de las células capturadas se realiza con un anticuerpo primario anti-CD4 marcado con biotina (antiCD4-biotina) y con un conjugado de estreptavidina y de la enzima HRP (peroxidasa de rábano picante). La unión de esta enzima al anticuerpo primario se realiza a través del complejo biotina/estreptavidina. Se proponen dos tipos de sistemas de detección: óptico y electroquímico. Esto se logra mediante la elección adecuada del sustrato para cada sistema planteado. El dispositivo biosensor basados en un transductor electroquímico renovable y magnético acoplado a partículas magnéticas específicas para las células marcadoras de la enfermedad, consigue la simplificación metodológica y facilita la transferencia de la tecnología hacia la fabricación de un biokit diagnóstico en el ámbito clínico. La potencial aplicación de los dispositivos analíticos propuestos en este trabajo tienen un interés social elevado por su idoneidad para realizar análisis, rápidos, económicos y en el ámbito de la propia consulta médica.

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Background: Prolificacy is the most important trait influencing the reproductive efficiency of pig production systems. The low heritability and sex-limited expression of prolificacy have hindered to some extent the improvement of this trait through artificial selection. Moreover, the relative contributions of additive, dominant and epistatic QTL to the genetic variance of pig prolificacy remain to be defined. In this work, we have undertaken this issue by performing one-dimensional and bi-dimensional genome scans for number of piglets born alive (NBA) and total number of piglets born (TNB) in a three generation Iberian by Meishan F2 intercross. Results: The one-dimensional genome scan for NBA and TNB revealed the existence of two genome-wide highly significant QTL located on SSC13 (P < 0.001) and SSC17 (P < 0.01) with effects on both traits. This relative paucity of significant results contrasted very strongly with the wide array of highly significant epistatic QTL that emerged in the bi-dimensional genome-wide scan analysis. As much as 18 epistatic QTL were found for NBA (four at P < 0.01 and five at P < 0.05) and TNB (three at P < 0.01 and six at P < 0.05), respectively. These epistatic QTL were distributed in multiple genomic regions, which covered 13 of the 18 pig autosomes, and they had small individual effects that ranged between 3 to 4% of the phenotypic variance. Different patterns of interactions (a × a, a × d, d × a and d × d) were found amongst the epistatic QTL pairs identified in the current work.Conclusions: The complex inheritance of prolificacy traits in pigs has been evidenced by identifying multiple additive (SSC13 and SSC17), dominant and epistatic QTL in an Iberian × Meishan F2 intercross. Our results demonstrate that a significant fraction of the phenotypic variance of swine prolificacy traits can be attributed to first-order gene-by-gene interactions emphasizing that the phenotypic effects of alleles might be strongly modulated by the genetic background where they segregate.

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Abstract. In this paper we prove the existence of central con gurations of the n + 2{body problem where n equal masses are located at the vertices of a regular n{gon and the remaining 2 masses, which are not necessarily equal, are located on the straight line orthogonal to the plane containing the n{gon passing through its center. Here this kind of central con gurations is called bi{pyramidal central con gurations. In particular, we prove that if the masses mn+1 and mn+2 and their positions satisfy convenient relations, then the con guration is central. We give explicitly those relations.

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Vivim, cada cop més, en un món tecnològic, on la vida diària es comparteix a les xarxes socials quasi sense adonar-nos-en. En aquest context, es generen quantitats ingents d'informació que, un cop tractades, poden ésser útils en estudis ben diversos com són la detecció de terratrèmols o la detecció prematura d'una epidèmia. En relació a aquest últim, el virus de la grip és un greu problema de salut pública ja que es destinen part dels recursos sanitaris durant un període de temps considerable i disminueix la productivitat laboral dels afectats que la pateixen. Davant d'aquesta situació, es planteja la realització d'un sistema de Business Intelligence que analitzi les dades extretes dels tweets de la plataforma Twitter en relació a les hospitalitzacions produïdes a un hospital de Catalunya, per tal de tenir un anàlisi predictiu de l'aparició d'un brot d'aquestes característiques. El treball va més enllà al emprar una tecnologia no convencional per la implementació del sistema BI. S'escull la dupla Elasticsearch i Kibana per tal d'aconseguir un sistema robust, distribuït, escalable i, sobretot, totalment personalitzable. Després d'un estudi d'aquestes dos solucions, incloent els plugins de monitoratge i càrrega de dades, s'ha elaborat un data warehouse complet i un quadre de comandament introductori. Es deixa, per futures línies de treball, l'anàlisi profund de les dades i la conseqüent extracció d'uns resultats que ens ajudin a predir amb una major antelació l'aparició d'un nou brot del virus de la grip.

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Realització d'un sistema de Business Intelligence que analitzi les dades extretes dels tweets de la plataforma Twitter en relació a les hospitalitzacions produïdes a un hospital de Catalunya, per tal de tenir una anàlisi predictiva de l'aparició d'un brot de grip. El treball va més enllà a l'emprar una tecnologia no convencional per la implementació del sistema BI. S'escull la dupla ElasticSearch i Kibana per tal d'aconseguir un sistema robust, distribuït, escalable i, sobretot, totalment personalitzable. Després d'un estudi d'aquestes dos solucions, incloent els plugins de monitoratge i càrrega de dades, s'ha elaborat un data warehouse complet i un quadre de comandament introductori.

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Background: Experimental evidences demonstrate that vegetable derived extracts inhibit cholesterol absorption in the gastrointestinal tract. To further explore the mechanisms behind, we modeled duodenal contents with several vegetable extracts. Results: By employing a widely used cholesterol quantification method based on a cholesterol oxidase-peroxidase coupled reaction we analyzed the effects on cholesterol partition. Evidenced interferences were analyzed by studying specific and unspecific inhibitors of cholesterol oxidase-peroxidase coupled reaction. Cholesterol was also quantified by LC/MS. We found a significant interference of diverse (cocoa and tea-derived) extracts over this method. The interference was strongly dependent on model matrix: while as in phosphate buffered saline, the development of unspecific fluorescence was inhibitable by catalase (but not by heat denaturation), suggesting vegetable extract derived H2O2 production, in bile-containing model systems, this interference also comprised cholesterol-oxidase inhibition. Several strategies, such as cholesterol standard addition and use of suitable blanks containing vegetable extracts were tested. When those failed, the use of a mass-spectrometry based chromatographic assay allowed quantification of cholesterol in models of duodenal contents in the presence of vegetable extracts. Conclusions: We propose that the use of cholesterol-oxidase and/or peroxidase based systems for cholesterol analyses in foodstuffs should be accurately monitored, as important interferences in all the components of the enzymatic chain were evident. The use of adequate controls, standard addition and finally, chromatographic analyses solve these issues.

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Optimization models in metabolic engineering and systems biology focus typically on optimizing a unique criterion, usually the synthesis rate of a metabolite of interest or the rate of growth. Connectivity and non-linear regulatory effects, however, make it necessary to consider multiple objectives in order to identify useful strategies that balance out different metabolic issues. This is a fundamental aspect, as optimization of maximum yield in a given condition may involve unrealistic values in other key processes. Due to the difficulties associated with detailed non-linear models, analysis using stoichiometric descriptions and linear optimization methods have become rather popular in systems biology. However, despite being useful, these approaches fail in capturing the intrinsic nonlinear nature of the underlying metabolic systems and the regulatory signals involved. Targeting more complex biological systems requires the application of global optimization methods to non-linear representations. In this work we address the multi-objective global optimization of metabolic networks that are described by a special class of models based on the power-law formalism: the generalized mass action (GMA) representation. Our goal is to develop global optimization methods capable of efficiently dealing with several biological criteria simultaneously. In order to overcome the numerical difficulties of dealing with multiple criteria in the optimization, we propose a heuristic approach based on the epsilon constraint method that reduces the computational burden of generating a set of Pareto optimal alternatives, each achieving a unique combination of objectives values. To facilitate the post-optimal analysis of these solutions and narrow down their number prior to being tested in the laboratory, we explore the use of Pareto filters that identify the preferred subset of enzymatic profiles. We demonstrate the usefulness of our approach by means of a case study that optimizes the ethanol production in the fermentation of Saccharomyces cerevisiae.

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En este trabajo se hace una evaluación de la solución Big Data Hadoop como alternativa de almacenamiento y procesado de elevados volúmenes de datos en comparación con modelos relacionales tradicionales en un Enterprise Data Warehouse (EDW) corporativo, y de cómo ésta es capaz de integrarse con las herramientas de visualización típicas de las suites Business Intelligence.

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En este trabajo final de grado se pretende hacer una valoración objetiva de las herramientas disponibles en el mercado actual para la realización de proyectos de business intelligence.