An enantio-selective chromatographic stationary phase for S-ibuprofen prepared by stoichiometric molecular imprinting

Molecularly Imprinted Polymers (MIPs) against S-ibuprofen were synthesised using a tailor made functional monomer, 2-acrylamido-4-methylpyridine, following extensive pre-polymerisation studies of template-monomer complexation. An apparent association constant of 340 +/- 22 M-1 was calculated that was subsequently corrected to account for dimerisation of ibuprofen (K-dim = 320 +/- 95 M-1) resulting in an intrinsic association constant of 715 +/- 16 M-1, consistent with previously reported values. Using the synthesised imprinted polymer as a stationary phase, complete resolution of a racemic mixture of ibuprofen was achieved in predominantly aqueous mobile phases. An imprinting factor of 10 was observed, and was found to be in agreement with the difference in the average number of binding sites between MIP and blank polymers, calculated by staircase frontal chromatography. The imprinted polymers exhibited enhanced selectivity for the templated drug over structurally related NSAIDs. When applied as sorbents in solid-phase extraction of ibuprofen from commercial tablets, urine and blood serum samples, recoveries up to 92.2% were achieved. © The Royal Society of Chemistry 2012

Validation of non‑stationary precipitation series for site‑specific impact assessment: comparison of two statistical downscaling techniques

Statistical downscaling (SD) methods have become a popular, low-cost and accessible means of bridging the gap between the coarse spatial resolution at which climate models output climate scenarios and the finer spatial scale at which impact modellers require these scenarios, with various different SD techniques used for a wide range of applications across the world. This paper compares the Generator for Point Climate Change (GPCC) model and the Statistical DownScaling Model (SDSM)—two contrasting SD methods—in terms of their ability to generate precipitation series under non-stationary conditions across ten contrasting global climates. The mean, maximum and a selection of distribution statistics as well as the cumulative frequencies of dry and wet spells for four different temporal resolutions were compared between the models and the observed series for a validation period. Results indicate that both methods can generate daily precipitation series that generally closely mirror observed series for a wide range of non-stationary climates. However, GPCC tends to overestimate higher precipitation amounts, whilst SDSM tends to underestimate these. This infers that GPCC is more likely to overestimate the effects of precipitation on a given impact sector, whilst SDSM is likely to underestimate the effects. GPCC performs better than SDSM in reproducing wet and dry day frequency, which is a key advantage for many impact sectors. Overall, the mixed performance of the two methods illustrates the importance of users performing a thorough validation in order to determine the influence of simulated precipitation on their chosen impact sector.

Sectorial antennas for WSN localization system

This work investigates low cost localization systems (LS) based on received signal strength (RSS) and integrated with different types of antennas with main emphasis on sectorial antennas. The last few years have witnessed an outstanding growth in wireless sensor networks (WSN). Among its various possible applications, the localization field became a major area of research. The localization techniques based on RSS are characterized by simplicity and low cost of integration. The integration of LS based on RSS and sectorial antennas (SA) was proven to provide an effective solution for reducing the number of required nodes of the networks and allows the combination of several techniques, such as RSS and angle of arrival (AoA). This PhD thesis focuses on studying techniques, antennas and protocols that best meet the needs of each LS with main focus on low cost systems based on RSS and AoA. Firstly there are studied localization techniques and system that best suit the requirements of the user and the antennas that are most appropriate according to the nature of the signal. In this step it is intended to provide a fundamental understanding of the undertaken work. Then the developed antennas are presented according to the following categories: sectorial and microstrip antennas. Two sectorial antennas are presented: a narrowband antenna operating at 2.4 to 2.5 GHz and a broadband antenna operating at 800MHz-2.4GHz. The low cost printed antennas were designed to operate at 5 GHz, which may be used for vehicular communication. After presenting the various antennas, several prototypes of indoor/outdoor LS are implemented and analyzed. Localization protocols are also proposed, one based on simplicity and low power, and the other on interoperability with different types of antennas and system requirements.

TRPM1 is mutated in patients with autosomal-recessive complete congenital stationary night blindness.

Night vision requires signaling from rod photoreceptors to adjacent bipolar cells in the retina. Mutations in the genes NYX and GRM6, expressed in ON bipolar cells, lead to a disruption of the ON bipolar cell response. This dysfunction is present in patients with complete X-linked and autosomal-recessive congenital stationary night blindness (CSNB) and can be assessed by standard full-field electroretinography (ERG), showing severely reduced rod b-wave amplitude and slightly altered cone responses. Although many cases of complete CSNB (cCSNB) are caused by mutations in NYX and GRM6, in approximately 60% of the patients the gene defect remains unknown. Animal models of human diseases are a good source for candidate genes, and we noted that a cCSNB phenotype present in homozygous Appaloosa horses is associated with downregulation of TRPM1. TRPM1, belonging to the family of transient receptor potential channels, is expressed in ON bipolar cells and therefore qualifies as an excellent candidate. Indeed, mutation analysis of 38 patients with CSNB identified ten unrelated cCSNB patients with 14 different mutations in this gene. The mutation spectrum comprises missense, splice-site, deletion, and nonsense mutations. We propose that the cCSNB phenotype in these patients is due to the absence of functional TRPM1 in retinal ON bipolar cells.

El sector servicios en la región Bogotá - Cundinamarca : dinámica sectorial

Gestión del conocimiento

Vigilancia tecnológica y competitividad sectorial. Lecciones y resultados de cinco estudios

Gestión del conocimiento

Reporte de monitoreo sectorial: sector herramientas pequeñas para hogar. Estados Unidos.

Gestión del conocimiento

Reporte de monitoreo sectorial: sector frutas y preparaciones de frutas. Estados Unidos.

Gestión del conocimiento

Reporte de monitoreo sectorial: sector servicios de ingeniería. Panamá.

Gestión del conocimiento

Reporte de monitoreo sectorial: sector herramientas pequeñas para hogar. Estados Unidos.

Gestión del Conocimiento