中国中药杂志2026，Vol.51Issue(7)：1817-1825,9.DOI:10.19540/j.cnki.cjcmm.20251205.302
中药丸剂干燥降速阶段的模拟研究:机理、模型与应用进展
Simulation of falling rate stage in drying of TCM pills:mechanisms,models,and applications
摘要
Abstract
Drying,as a crucial stage in the preparation of pills,serves as a key step in ensuring pharmaceutical quality.During this process,the adoption of a scientifically drying method and the precise control of critical parameters such as temperature and humidity enable effective regulation of drying uniformity,thereby maximizing the retention of pharmacological activity while optimizing pill appearance,hardness,and disintegration time and ensuring the good quality of the drugs and their stable release.The drying process of pills is predominantly characterized by a falling rate drying stage.In this stage,if the rate of internal moisture diffusion fails to match the rate of surface moisture evaporation,quality defects such as surface hardening,cracking,and false drying may occur.These issues increase the resistance to water vapor mass transfer,further reducing the drying rate.At present,simulation technologies have been increasingly applied in the study of drying processes for TCM pills,achieving significant progress in process optimization,equipment improvement,and quality control and thereby providing theoretical and technical support for quality enhancement.However,existing models largely rely on empirical parameters and lack accurate databases of physical properties,leading to discrepancies between simulation results and practical outcomes.Consequently,future research should focus on integrating artificial intelligence-assisted techniques for model parameter identification and optimization,applying digital twin technology for real-time monitoring of drying processes,and advancing toward sustainable production characterized by green,low-carbon,and energy-efficient approaches.Such efforts will continuously overcome technical bottlenecks in pill drying and accelerate the upgrading of production equipment for TCM pills.关键词
中药丸剂/降速干燥阶段/数值模拟/传热传质模型/人工智能/数字孪生Key words
TCM pills/falling rate drying phase/numerical simulation/heat and mass transfer model/artificial intelligence/digital twin引用本文复制引用
谢瑶婷,王学成,王翔,李远辉,朱雯婷,王雅琪,易兵,伍振峰..中药丸剂干燥降速阶段的模拟研究:机理、模型与应用进展[J].中国中药杂志,2026,51(7):1817-1825,9.基金项目
国家自然科学基金项目(82460774) （82460774）
江西省主要学科学术和技术带头人青年人才培养项目(20243BCE51110) （20243BCE51110）
江西中医药大学重点学科建设经费项目(2023jzzdxk017) （2023jzzdxk017）
