Menon Anil, Bhandarkar Satej
Sanofi-Synthelabo, 9 Great Valley Parkway, Malvern, PA 19355, USA.
Int J Pharm. 2004 Nov 22;286(1-2):125-9. doi: 10.1016/j.ijpharm.2004.07.028.
The commonly used solid-state reaction models (for example-Prout-Tompkins, Avrami-Erofe'ev) describe the polymorphic transformation data only over a certain range, alpha from 10% to 90%. Predictions based on a fit to a fraction of the data are inadequate because we ignore the early induction phase of the reaction, which is important for predictive purposes. A four-parameter logistic equation describes the data over the entire curve for polymorphic transformation at high temperatures. We use the parameters of the logistic equation to predict the transformation curves. The predicted curves agree with the experimental data.
常用的固态反应模型（例如普劳特 - 汤普金斯模型、阿弗拉米 - 叶罗费耶夫模型）仅在一定范围内（α从10%到90%）描述多晶型转变数据。基于部分数据拟合的预测是不充分的，因为我们忽略了反应的早期诱导阶段，而这一阶段对于预测目的很重要。一个四参数逻辑方程描述了高温下多晶型转变整个曲线的数据。我们使用逻辑方程的参数来预测转变曲线。预测曲线与实验数据相符。
