基于粉体学性质的流化床制粒质量一致性评价方法

为了评价流化床脉冲喷雾制粒（PSFBG）产品的质量，采用粉体学评价方法表征颗粒的堆积特性、可压性、流动性等物理属性. 构建由休止角、空隙率、粒径等12个指标构成的物理指纹谱. 基于物理指纹谱对PSFBG产品进行质量一致性评价，并通过构建参数指数、参数轮廓指数和良好可压性指数分析颗粒的压缩特性；运用多变量数据分析对不同批次颗粒的质量属性进行评价. 结果表明，所建立的物理指纹谱不仅可以反映不同制备工艺所获得颗粒的粉体学性质的异同，还能辅助判断颗粒压缩特性，结合多元统计分析方法在多个指标互相关联的情况下分析它们之间的规律. 物理指纹谱是评价产品粉体学性质的有效工具，为PSFBG产品质量一致性的综合评价提供思路.

Quality consistency evaluation method for granules in fluidized bed granulation based on powder properties

The physical properties of stackability, compressibility and flowability were comprehensively characterized by micromeritics evaluation method, in order to conduct a quality evaluation of granules produced by pulsed-spray fluid-bed granulation (PSFBG). Physical fingerprint were constructed with twelve indexes, such as angle of repose, porosity and particle size, to evaluate the quality consistence of PSFBG products. The parameter index, the parameter profile index and the good compressibility index were established to study the compressibility of particles. Multivariate data analysis was used to evaluate the quality attributes of different batches of granules. Results show that the physical fingerprint can not only reflect the similarities and differences of the properties of granules obtained by different granulation methods, but also assist in judging the compression characteristics of particles. Combined with the method of multivariate statistical analysis, the physical fingerprint can be used to analyze the regularity between multiple indicators when they are related to each other. Physical fingerprint spectroscopy is an effective tool for evaluating the properties of granules, which provides new insights into the quality consistence evaluation of PSFBG products.