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用于冷冻干燥初级干燥过程开发和放大的软件工具,包括过程异质性,I:实验室规模模型测试。

A Software Tool for Lyophilization Primary Drying Process Development and Scale-up Including Process Heterogeneity, I: Laboratory-Scale Model Testing.

机构信息

Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT, USA.

Physical Sciences Inc., 20 New England Business Center, Andover, MA, USA.

出版信息

AAPS PharmSciTech. 2021 Nov 12;22(8):274. doi: 10.1208/s12249-021-02134-3.

DOI:10.1208/s12249-021-02134-3
PMID:34773199
Abstract

Freeze-drying is a deceptively complex operation requiring sophisticated design of a robust and efficient process that includes understanding and planning for heterogeneity across the batch and shifts in parameters due to vial or lyophilizer changes. A software tool has been designed to assist in process development and scale-up based on a model that includes consideration of the process heterogeneity. Two drug formulations were used to test the ability of the new tool to develop a freeze-drying cycle and correctly predict product temperatures and drying times. Model inputs were determined experimentally, and the primary drying heterogeneous freeze-drying model was used to design drying cycles that provided data to verify the accuracy of model-predicted product temperature and primary drying time. When model inputs were accurate, model-predicted primary drying times were within 0.1 to 15.9% of experimentally measured values, and product temperature accuracy was between 0.2 and 1.2°C for three vial locations, center, inner edge, and outer edge. However, for some drying cycles, differences in vial heat transfer coefficients due to changes in shelf and product temperature as well as altered product resistance due to product temperature-dependent microcollapse increased inaccuracy (up to 28.6% difference in primary drying time and 5.1°C difference in product temperature). This highlights the need for careful determination of experimental conditions used to calculate model inputs. In future efforts, full characterization of location- and shelf temperature-dependentK as well as location- and product temperature-dependentR will enhance the accuracy of the predictions by the model within the user-friendly software.

摘要

冷冻干燥是一项看似复杂的操作,需要对强大而高效的工艺进行复杂的设计,其中包括了解和规划批次的异质性以及由于小瓶或冻干机的变化导致的参数变化。已经设计了一种软件工具,以基于包括考虑工艺异质性的模型来辅助工艺开发和放大。使用两种药物制剂来测试新工具开发冷冻干燥循环并正确预测产品温度和干燥时间的能力。模型输入通过实验确定,并且使用主要干燥多相冷冻干燥模型设计干燥循环,提供数据以验证模型预测的产品温度和主要干燥时间的准确性。当模型输入准确时,模型预测的主要干燥时间与实验测量值相差在 0.1 到 15.9% 之间,并且三个小瓶位置(中心、内边缘和外边缘)的产品温度准确性在 0.2 到 1.2°C 之间。然而,对于某些干燥循环,由于搁板和产品温度的变化以及由于产品温度相关的微崩溃导致的产品阻力改变而导致小瓶传热系数的差异增加了不准确性(主要干燥时间的差异高达 28.6%,产品温度的差异高达 5.1°C)。这突出表明需要仔细确定用于计算模型输入的实验条件。在未来的努力中,全面表征位置和搁板温度相关的 K 以及位置和产品温度相关的 R,将通过用户友好的软件提高模型预测的准确性。

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本文引用的文献

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Use of laboratory data in freeze drying process design: heat and mass transfer coefficients and the computer simulation of freeze drying.实验室数据在冷冻干燥工艺设计中的应用:传热传质系数及冷冻干燥的计算机模拟
J Parenter Sci Technol. 1985 May-Jun;39(3):115-39.
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Process control in freeze drying: determination of the end point of sublimation drying by an electronic moisture sensor.冷冻干燥中的过程控制:通过电子湿度传感器确定升华干燥的终点
J Parenter Sci Technol. 1989 Mar-Apr;43(2):60-6.