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目的:建立最符合中药颗粒剂吸湿过程的数学模型。方法:分析4种中药颗粒剂(祛瘀清热颗粒、清肺颗粒、感冒灵颗粒、板蓝根颗粒)的吸湿过程,采用双指数模型、二次曲线模型、Higuchi方程等7种数学模型,对中药颗粒剂吸湿数据进行拟合,并评价各个模型的拟合效果。结果:双指数模型、一级过程、二次曲线模型的决定系数(R2)均较大,残差平方和(RSS)均较小,综合3种模型的实际应用意义,双指数模型更适用于模拟中药颗粒剂的吸湿过程。结论:双指数模型适合表征中药颗粒剂的吸湿过程。
Objective: To establish a mathematical model that best suits the hygroscopic process of traditional Chinese medicine granule. Methods: The hygroscopic process of four kinds of traditional Chinese medicine granules (Quyu Qingre granules, Qingfei granules, Gan’erling granules and Banlangen granules) was analyzed. Seven kinds of mathematical models including double exponential model, quadratic curve model and Higuchi equation were used to analyze the absorption of traditional Chinese medicine granules Agent moisture absorption data fitting, and evaluate the fitting effect of each model. Results: The binary index model, the first-order process and the second-order curve model all have larger determination coefficients (R2) and smaller residuals (RSS). Based on the practical application of the three models, the double exponential model is more suitable for Simulate the moisture absorption process of traditional Chinese medicine granules. Conclusion: The double exponential model is suitable for characterizing the hygroscopicity of traditional Chinese medicine granules.