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ABSTRACT: In this study we present a methodology to estimate and map the content of Soil Organic Carbon (SOC) in topsoils from spectroscopic measurements (FTIR-ATR). We used the Walkley-Black method to determine the SOC content in 221 topsoil samples in Galicia. FTIR-ATR spectroscopic data was measured upon the same set of samples. A Random Forest (RF) model, linking SOC and FTIR-ATR data, revealed that the spectral band placed at 1697 cm-1, explains most of the variability of SOC. We crossed the spectroscopic data for this wavenumber with a number of raster environmental data (climate, land use and geology) using Partial Least Squares (PLS) to create maps depicting the spatial distribution of such band. A linear regression model (MLR), relating SOC as the dependent variable and the selected FTIR-ATR bands as independent proxy, shows a good predictive performance (r-squared =0.88; RSME = 2.14; ME = 0.05). We used this MLR, upon the PLS model, to generalize the distribution of SOC in our study area. This approach shows that FTIR-ATR data can be used to directly map SOC while minimizing analytical costs and time.12/2015; 27:49-52. DOI:10.1016/j.proenv.2015.07.113
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ABSTRACT: Soil bulk density is an important soil parameter directly related to a number of soil properties and processes and required to estimate element stocks in soils on an area basis. The measure of ρb is expensive and time-consuming and thus is often excluded from ordinary analyses. It is thus necessary the development of proper pedotransfer functions (PTF) to estimate ρb from parameters ordinarily included in soil analyses. In this study we used a geochemical database of 115 epipedons from Galicia (NW Spain) to test 3 different statistical methods – multiple linear regression, random forest and neural networks – in order to develop a PTF linking bulk density to organic matter content and soil textural fractions. Random forest was the model that presented the highest predictive performance (R-squared=0.90; RMSE=0.14; ME=0.03). This PTF was used to generalize a map of ρb covering the study area. Soil bulk density in Galicia is mainly related to the soil carbon content, peat soils being the features with lower ρb in this study area.12/2015; 27:45-48. DOI:10.1016/j.proenv.2015.07.112
Conference Paper: Elastin-Like Self Assembled Nanoparticles for Biomedical Applications[Show abstract] [Hide abstract]
ABSTRACT: The increasing need for drug-delivery systems that improve specificity and activity, whilst being biocompatible at the same time has led to the development of a wide variety of new materials. The bulk of this work has been developed in polymeric systems because of their ability to form a range of different nanoparticulate structures, including micelles, nanospheres, nanocapsules, and polymersomes . Elastin-like recombinamers (ELRs) are made of pentameric repeat amino-acid sequences (Val-Pro-Gly-Xaa-Gly), where Xaa is any natural amino-acid except proline, or its permutations providing tunable physicochemical properties and excellent biocompatibility. This has led to extensive biological and nanotechnological applications of ELRs . The absolute control over the design of ELRs allows facile manipulation of their stimuli-responsive properties and other physical and functional characteristics. Biosynthesis allows the production of strictly monodisperse polymers with no possibility of randomness in the comonomer distribution. Amphiphilic elastin-like di-and triblock corecombinamers are a new class of macromolecules that exhibit thermally triggered nanoscale self-assembly . The control over the molecular weight and the hydrophilic-to-hydrophobic ratio afford different nanostructures as micelles or vesicles with several sizes as well as control of the temperature at which self-assemble occurs.NanoBiomed 2011; 09/2015
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