School of Pharmacy, University of Connecticut and Institute of Materials Science, University of Connecticut, Storrs, Connecticut, USA.
BioMarin Pharmaceuticals, San Rafael, California, USA.
AAPS PharmSciTech. 2018 Oct;19(7):2828-2842. doi: 10.1208/s12249-018-1155-4. Epub 2018 Sep 26.
Inter- and intra-batch variability in heat and mass transfer during the drying phase of lyophilization is well recognized. Heat transfer variability between individual vials in the same batch arise from both different positions in the vial array and from variations in the bottom contour of the vials, both effects contributing roughly equally to variations in the effective heat transfer coefficient of the vials, K. Both effects can be measured in the laboratory, and variations in average K values as a function of vial position in the array for lab and production can be calculated by use of the simple steady-state heat and mass transfer theory. Typically, in the laboratory dryer, vials on the edge of the array, "edge vials," run 2-4°C warmer than "center vials," but differences between laboratory and manufacturing temperatures are modest. The variability in mass transfer can be assigned to major variations in ice nucleation temperature (both intra-batch and inter-batch), including major differences between laboratory and manufacturing. The net effect of all random variations, for each class of vial, can be evaluated by a simple statistical model-propagation of error, which then allows prediction of the distribution in product temperatures and drying times, and therefore prediction of percent of vials dry and percent of vials collapsed and proximity to the edge of failure for a given process. Good agreement between theoretical and experimentally determined maximum temperatures in primary drying and percent collapsed product demonstrates the calculations have useful accuracy.
在冻干的干燥阶段,热传递和质量传递的批次内和批次间可变性是众所周知的。同一批次中各个小瓶之间的热传递可变性源于小瓶阵列中的不同位置和小瓶底部轮廓的变化,这两种效应大致相等地导致小瓶的有效热传递系数 K 的变化。这两种效应都可以在实验室中进行测量,并且可以通过使用简单的稳态热传递和质量传递理论来计算实验室和生产中 K 值随小瓶在阵列中位置的平均值的变化。通常,在实验室干燥器中,边缘小瓶的温度比“中心小瓶”高 2-4°C,但实验室和制造温度之间的差异不大。质量传递的可变性可归因于冰核化温度的主要变化(包括批次内和批次间的主要差异),包括实验室和制造之间的主要差异。对于每类小瓶,所有随机变化的净效应都可以通过简单的统计模型-误差传播来评估,这然后允许预测产品温度和干燥时间的分布,从而预测给定过程的干燥小瓶百分比、塌陷小瓶百分比以及接近失效边缘的程度。在初级干燥和塌陷产品的百分比中,理论和实验确定的最高温度之间的良好一致性证明了计算具有有用的准确性。