Mechanism of transport of saquinavir-loaded nanostructured lipid carriers across the intestinal barrier

[EN] The aims of this work were (i) to evaluate the potential of nanostructured lipid carriers (NLCs) as a tool to 24 enhance the oral bioavailability of poorly soluble compounds using saquinavir (SQV), a BCS class IV drug 25 and P-gp substrate as a model drug, and (ii) to study NLC transport mechanisms across the intestinal barrier. 26 Three different NLC formulations were evaluated. SQV transport across Caco-2 monolayers was enhanced up 27 to 3.5-fold by NLCs compared to SQV suspension. M cells did not enhance the transport of NLCs loaded with 28 SQV. The size and amount of surfactant in the NLCs influenced SQV's permeability, the transcytosis pathway 29 and the efflux of SQV by P-gp. An NLC of size 247 nm and 1.5% (w/v) surfactant content circumvented P-gp 30 efflux and used both caveolae- and clathrin-mediated transcytosis, in contrast to the other NLC formulations, 31 which used only caveolae-mediated transcytosis. By modifying critical physicochemical parameters of the 32 NLC formulation, we were thus able to overcome the P-gp drug efflux and alter the transcytosis mechanism 33 of the nanoparticles. These findings support the use of NLCs approaches for oral delivery of poorly 34 water-soluble P-gp substrates.

Biologically-inspired data decorrelation for hyper-spectral imaging

Hyper-spectral data allows the construction of more robust statistical models to sample the material properties than the standard tri-chromatic color representation. However, because of the large dimensionality and complexity of the hyper-spectral data, the extraction of robust features (image descriptors) is not a trivial issue. Thus, to facilitate efficient feature extraction, decorrelation techniques are commonly applied to reduce the dimensionality of the hyper-spectral data with the aim of generating compact and highly discriminative image descriptors. Current methodologies for data decorrelation such as principal component analysis (PCA), linear discriminant analysis (LDA), wavelet decomposition (WD), or band selection methods require complex and subjective training procedures and in addition the compressed spectral information is not directly related to the physical (spectral) characteristics associated with the analyzed materials. The major objective of this article is to introduce and evaluate a new data decorrelation methodology using an approach that closely emulates the human vision. The proposed data decorrelation scheme has been employed to optimally minimize the amount of redundant information contained in the highly correlated hyper-spectral bands and has been comprehensively evaluated in the context of non-ferrous material classification

Guía de diseño de un edificio de bajo consumo energético

[ES]Comparativa de las alternativas disponibles para la construcción de un edificio, con el objetivo de optimizar el diseño disminuyendo las pérdidas de energía. De los distintos tipos de construcciones posibles, la investigación se centra en una vivienda unifamiliar. El trabajo aborda, por una parte, el diseño de la envolvente de la vivienda con las técnicas eficientes y los materiales mejor ajustados a la zona de edificación; y por otra, la selección del sistema de calefacción y de agua caliente sanitaria (ACS). Se opta por bloques de tierra comprimida, aislante de celulosa y enlucido de arcilla para las paredes, así como por una caldera de pellets para el sistema de calefacción y una instalación de energía solar térmica para el ACS.