Study on Preparation Technology and Physical Fingerprint of Chuilian Jianpi Granules Based on QbD

Objective. To optimize the preparation formula and technology of Chuilian Jianpi granules. Methods. The formulation and preparation process were optimized by single factor experiment and response surface analysis, with the molding rate, hygroscopicity, and fluidity of particles as the comprehensive evaluation indexes, and the comprehensive score as the response value according to different weights. To further evaluate the stability and feasibility of the preparation formulation and technology, the physical fingerprint of the granules was constructed by seven indicators including particle tap density, bulk density, hygroscopicity, water content, angle of repose, Hausner ratio, and relative homogeneity index. Results. The optimum formula conditions of Chuilian Jianpi granules were as follows: the dosage ratio of drug to adjuvant was 1 : 0.8, lactose:mannitol = 1.5 : 1, and the amount of wetting agent (90% ethanol) was 25% of the granules, with high-speed stirring granulation. The similarity of the physical fingerprints of the 10 batches of Chuilian Jianpi granules was high, which is above 98.5%. Conclusion. The optimized preparation technology was stable and feasible, which can provide reference for the development of Chuilian Jianpi granules and other Chinese medicine granules.

Study on optimization experiment and characteristic test of biomass granule forming machine

According to the biomass pellet fuel forming machine, problems such as high energy consumption, easy clogging, and low efficiency exist in the granulation process. In this paper, corn and wheat stalks are used as raw materials to study the effects of the size of the raw materials and the moisture content on the formation rate, particle average length, particle density, mechanical durability, and heating value of the particulate fuel. The influence of parameters such as spindle speed and die diameter on the productivity, molding rate, mechanical durability, and particle density of the molding machine was investigated. Compressor and ANSYS were used to study the compression characteristics and flow characteristics of corn stalk, and the characteristics of the pellets were determined. The results showed that the corn stalk with a grain size of 4 mm with a moisture content of 14% and wheat straw with a grain size of 4 mm with a moisture content of 15% had high molding rate, good particle density, and good mechanical durability.