Quality consistency evaluation and intelligent visualization of performance parameters of carboxymethylcellulose sodium / 药学学报

ABSTRACT

In this study, physical fingerprint and multivariate statistical analysis was applied to characterize the quality consistency of different sources of carboxymethylcellulose sodium, and the visualization of R language was used to explore the intrinsic correlation on its performances, and we drew contour maps between independent variables and flowability of powder to find the design space. Through the physical fingerprint and multivariate statistical analysis, it was found that there were differences in the powder properties of carboxymethylcellulose sodium from different sources, and its moisture content, bulk density and tapped density have a great influence on the fluidity. The fillibility was positively correlated with flowability, both negatively correlated with compressibility by R intelligent visualization analysis, which was statistically significant (P < 0.01). When the angle of repose is 30° - 40°, the appropriate design space was found as 5.092 2% < moisture content < 7.006 7%, 0.560 2 g·cm-3 < bulk density < 0.579 9 g·cm-3, and 0.646 3 g·cm-3 < tapped density < 0.816 5 g·cm-3. The results show that it is scientific and feasible to evaluate the quality consistency of pharmaceutical excipients by using the physical fingerprint, multivariate statistical analysis and visualization methods, which provides new ideas for the production and quality evaluation of excipients and the development of generic prescriptions.