Analytical Research and Development, Pfizer Inc., Sandwich, UK.
J Pharm Sci. 2019 Jan;108(1):506-515. doi: 10.1016/j.xphs.2018.10.025. Epub 2018 Oct 26.
A slowdown in dissolution performance has been observed for an immediate release tablet formulation during long-term stability testing. The slowdown was successfully predicted using an accelerated stability study in which the dissolution was tested over a range of temperatures, humidity conditions and storage times. The slowdown was quantified using a calculated parameter referred to as the "acceleration factor" (AF); this is the degree by which the timescale (x-axis) of a dissolution profile needs to be scaled to overlay it on to the dissolution profile obtained at the initial timepoint. The "AF" approach was applicable because it was observed that the shape of the dissolution profile remains consistent even though different dissolution rates were obtained. Under the accelerated stability conditions, the AF is observed to follow an "exponential decay" curve. A predictive model for the long-term stability dissolution was obtained by modeling both the plateau level and the rate constant for the exponential decay curve as functions of temperature and humidity. The long-term stability of product A in packaging was successfully predicted using this model in combination with simulations of the changing relative humidity conditions inside the packaging.
在长期稳定性测试中,观察到一种即释片剂制剂的溶解性能下降。通过加速稳定性研究成功地预测了这种下降,该研究在一系列温度、湿度条件和储存时间下测试了溶解情况。使用称为“加速因子”(AF)的计算参数来量化这种下降;这是溶解曲线的时间尺度(x 轴)需要缩放的程度,以便将其叠加到初始时间点获得的溶解曲线上。“AF”方法是适用的,因为观察到即使获得了不同的溶解速率,溶解曲线的形状仍然保持一致。在加速稳定性条件下,观察到 AF 遵循“指数衰减”曲线。通过将指数衰减曲线的平台水平和速率常数建模为温度和湿度的函数,获得了长期稳定性溶解的预测模型。通过将该模型与包装内相对湿度变化的模拟相结合,成功地预测了产品 A 的长期稳定性。