2 resultados para topological surface state
em Universita di Parma
Resumo:
Lactose, in particular α-lactose monohydrate, is the most used carrier for inhalation. Its surface and solid-state properties are of paramount importance in determining drug aerosolization performance. However, these properties may be altered by processing, such as micronization, thus affecting the product performance and stability. The present research project focused on the study of the effect of lactose solid-state on the aerosolization performance of drug-carrier mixtures, giving particular attention to the impact of micronization on lactose physico-chemical properties. The formation of a fraction of hygroscopic anhydrous α-lactose, rather than amorphous lactose, as a consequence of the mechanical stress stemming from micronization was evidenced by 1H NMR, XRPD and DSC analyses performed on samples of micronized lactose. The development of a new DVS method capable to identify and quantify different forms of α-lactose (hygroscopic anhydrous, stable anhydrous and amorphous), even simultaneously present in the same sample, confirmed the results obtained with the above-mentioned techniques. The influence of lactose solid-state on drug respirability was then evaluated through the preparation and in vitro aerodynamic assessment of ternary and binary mixtures containing two different drugs. In particular, the use, as carriers, of anhydrous forms of α-lactose in place of the conventional α-lactose monohydrate resulted in significantly improved respirability in the case of salbutamol sulphate and poorer performance in the case of budesonide. In an attempt to rationalize the obtained results, IGC was selected as a tool to investigate possible variations in the surface energy of the studied lactose carriers and APIs. A direct correlation between the total surface free energy of lactose carriers and drug respirability was not found. However, salbutamol sulphate and budesonide exhibited different specific surface free energy, to which the difference in the aerosolization performance may be, at least in part, ascribed.
Resumo:
Among the Solar System’s bodies, Moon, Mercury and Mars are at present, or have been in the recent years, object of space missions aimed, among other topics, also at improving our knowledge about surface composition. Between the techniques to detect planet’s mineralogical composition, both from remote and close range platforms, visible and near-infrared reflectance (VNIR) spectroscopy is a powerful tool, because crystal field absorption bands are related to particular transitional metals in well-defined crystal structures, e.g., Fe2+ in M1 and M2 sites of olivine or pyroxene (Burns, 1993). Thanks to the improvements in the spectrometers onboard the recent missions, a more detailed interpretation of the planetary surfaces can now be delineated. However, quantitative interpretation of planetary surface mineralogy could not always be a simple task. In fact, several factors such as the mineral chemistry, the presence of different minerals that absorb in a narrow spectral range, the regolith with a variable particle size range, the space weathering, the atmosphere composition etc., act in unpredictable ways on the reflectance spectra on a planetary surface (Serventi et al., 2014). One method for the interpretation of reflectance spectra of unknown materials involves the study of a number of spectra acquired in the laboratory under different conditions, such as different mineral abundances or different particle sizes, in order to derive empirical trends. This is the methodology that has been followed in this PhD thesis: the single factors previously listed have been analyzed, creating, in the laboratory, a set of terrestrial analogues with well-defined composition and size. The aim of this work is to provide new tools and criteria to improve the knowledge of the composition of planetary surfaces. In particular, mixtures composed with different content and chemistry of plagioclase and mafic minerals have been spectroscopically analyzed at different particle sizes and with different mineral relative percentages. The reflectance spectra of each mixture have been analyzed both qualitatively (using the software ORIGIN®) and quantitatively applying the Modified Gaussian Model (MGM, Sunshine et al., 1990) algorithm. In particular, the spectral parameter variations of each absorption band have been evaluated versus the volumetric FeO% content in the PL phase and versus the PL modal abundance. This delineated calibration curves of composition vs. spectral parameters and allow implementation of spectral libraries. Furthermore, the trends derived from terrestrial analogues here analyzed and from analogues in the literature have been applied for the interpretation of hyperspectral images of both plagioclase-rich (Moon) and plagioclase-poor (Mars) bodies.