Research Progress of Preparation Technology of Ion-Exchange Resin Complexes.

As insoluble polymer materials, ion-exchange resins (IERs) can exchange their own ions with desirable charged ions in the solution. According to the affinity of active moieties for soluble counterions, IERs could be categorized into the following four types: strongly acidic cation, weakly acidic cation, strongly basic anion, and weakly basic anion exchange resins. Due to their relative safety and high drug-loading capacity, IERs have garnered extensive attention in the pharmaceutical field since the 1950s. As numerous investigations combine drugs with IERs, this article summarizes the technologies employed in these studies from four aspects: IER screening principles, combining technologies, characterization methods, and in vitro and in vivo release of drug-resinate complexes. In addition, the advantages and disadvantages of various technologies and their scope are expounded. The article provides new insights on the preparation of ion-exchange resin complexes.

Empirical prediction model based process optimization for droplet size and spraying angle during pharmaceutical fluidized bed granulation.

The objective of this study was to predict the droplet size and the spraying angle during the process of binder atomization in pharmaceutical fluidized bed granulation using an empirical model. The effects of the binder viscosity, the atomization pressure, and the spray rate on the droplet size and the spraying angle were investigated using a response surface central composite design and analysis of variance. Prediction models for droplet size and spraying angle were then established using stepwise regression analysis and were validated by comparing the measured and predicted values. The results showed that the droplet size model and the spraying angle model were well established, with an R2 of 0.93 (p < 0.0001) and a root mean square error (RMSE) of 10.10, and an R2 of 0.82 (p < 0.0001) and an RMSE of 3.69, respectively. The error between the measured and predicted values of the droplet size and the spraying angle were less than 10%, indicating that the established models were accurate. The results of the present study were significant in predicting the droplet size and spraying angle in the process of pharmaceutical fluidized bed granulation.

[Correlation of dry granulation process parameters and granule quality based on multiple regression analysis].

In this paper, microcrystalline cellulose WJ101 was used as a model material to investigate the effect of various process parameters on granule yield and friability after dry granulation with a single factor and the effect of comprehensive inspection process parameters on the effect of granule yield and friability, then the correlation between process parameters and granule quality was established. The regress equation was established between process parameters and granule yield and friability by multiple regression analysis, the affecting the order of the size of the order of the process parameters on granule yield and friability was: rollers speed > rollers pressure > speed of horizontal feed. Granule yield was positively correlated with pressure and speed of horizontal feed and negatively correlated rollers speed, while friability was on the contrary. By comparison, fitted value and real value, fitted and real value are basically the same of no significant differences (P > 0.05) and with high precision and reliability.