RESUMO
This study was designed to establish the method of characterization of surface free energy(SFE)and evaluate the compaction properties of pharmaceutical materials based on SFE. We investigated the contact angles of materials with water and diiodomethane under different compression pressures. The contact angles of materials at 353 MPa compression pressure were utilized to calculate the related parameters of SFE ultimately. The area under tensile strength-compression pressure curve(AUTSC)and pressure yield(Py)were employed to evaluate the compactibility of material. Additionally, Pearson correlation analysis was utilized to analyze the relationship between the SFE and the compaction properties of pharmaceutical materials. The results exhibited that SFE had a significant correlation with the compaction properties of materials(P < 0.05). Moreover, the related parameters of SFE, i.e., cohesive work(Wco)and polarity index(PI)of SFE, were positively correlated with Py of Heckel equation and negatively related with AUTSC. The higher values of Wco and PI, the stronger repulsive force among the particles, led to a worse compaction behavior. In this study, we established the method for characterization of the compaction behavior of materials based on SFE initially. This study also demonstrated that SFE could evaluate the compaction behavior effectively, which provides a better understanding of compaction behavior for pharmaceutical researchers.
RESUMO
OBJECTIVE: To built a general theoretical prediction model of pharmaceutical powder mixtures with different components and mass fraction base on powder compaction Heckel equation. METHODS: Uniaxial compression tests were conducted with four excipients, and the Heckel equation parameters were got. The uniaxial compression tests of mixtures with different mass fraction were conducted; the change laws of density and porosity with applied pressure and the Heckel equation curves were obtained. RESULTS: The comparison of theoretical prediction model and experimental results showed that the porosity error and the Heckel vertical coordinate error were less than 4% and the density error was less than 2.5%. CONCLUSION: The established model has universality to predict the compression characteristics of multicomponent powders of any proportion composition.