RÉSUMÉ
In this study, alkali-soluble polysaccharide was extracted from Poria residue, and the structure of alkali-soluble polysaccharide was characterized by Fourier transform infrared spectroscopy (FTIR), X-ray powder diffraction (XRD), and differential scanning calorimetry (DSC). The physical morphology of alkali-soluble polysaccharide and ethyl cellulose (EC) was investigated by scanning electron microscopy (SEM), and the focus on angle of repose, bulk density, tapped density, Carr index, interparticle porosity, cohesion index, Hausner ratio, etc. The physical fingerprints were drawn, and the powder properties were evaluated by multivariate analysis. Diclofenac sodium extended-release tablets were prepared by direct compression method using alkali-soluble polysaccharide and EC as insoluble backbone materials to evaluate the basic properties of the extended-release tablets, investigate the in vitro drug release behavior and study the release mechanism. The results showed that alkali-soluble polysaccharide is a semi-crystalline polymer with smooth lamellar structure, and its stacking and compressibility are stronger than EC. The in vitro release experiments showed that the slow release performance of alkali-soluble polysaccharide is stronger than EC, and the release behavior of the prepared slow release tablets is in accordance with the Higuchi model. The pore structure is formed inside the tablets during the release process, and the release mode is pore diffusion release. The results of this study are of great significance for the development of new slow-release materials and the rational use of resources.
RÉSUMÉ
In this study, multivariate statistical analysis was applied to characterize the flowability of different types of microcrystalline cellulose (MCC), and the visualization of R language was used to explore the intrinsic correlation on its performances. To verify the operability of multivariate statistical analysis, we compared the results of the conventional methods such as repose angle method, Hausner ratio method, Carr's index method and the parameter a of Kawakita equation to determine whether there are significant differences between the conventional ones and multivariate statistical analysis. Moreover, the fillibility and compressibility were characterized by parameters 1/b of Kawakita equation and the means of pressure-tensile strength and compressibility curve method, respectively. The data was analyzed through R language for visualizing the correlation among the performance parameters of MCC. The flowability of the series of microcrystalline cellulose PH (MCCPH) were superior to the series of microcrystalline cellulose WJ (MCCWJ), the compressibility of MCCPH-302 was optimum, and the flowability and fallibility of MCCPH-102 were better than others. The results of conventional methods were consistent with multivariate statistical analysis. The fillibility was positively correlated with flowability, both negatively correlated with compressibility by analyzing correlation coefficient diagram, which was statistically significant (P<0.01). It is reasonable that adopting multivariate statistical analysis to character the flowability of powders, which is more objective than the traditional approach. The correlation visualization of performance parameters of powders provides convenience for screening preparation material via the visualization of R language.