Early Prediction of the Chemical Stability of Drug Substances and Drug Products during the Development Phase

Trupti Tol, Swapnil Mhamunkar, Harshad Tawde, Gautam Samanta
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Abstract

Background:: Traditional approach to shelf-life prediction claims a substantial amount of product development time, leading to significant delays. Objective:: The capability of the unconventional Accelerated Stability Assessment Program (ASAP) to decode chemical stability and expedite shelf-life prediction is discussed in the manuscript. Methods:: As per the ASAP approach, shelf-life limiting attributes for two APIs’ and a formulation were identified based on the isoconversion ratio. Isoconversion times at varying accelerated conditions were obtained and the degradation kinetics were modeled using the humidity-modified Arrhenius equation. R2 and Q2 values were derived to assure model predictability. Temperature and humidity sensitivity of the attributes were determined from the activation energy; Ea, and humidity sensitivity factor, B, respectively. Degradation plots demonstrated the dynamics of degradation with time. The predicted values were verified by the available real-time data. Results:: The degradation rate was modeled for impurities that exhibited conversion substantiated by an isoconversion ratio between 0.25-2.0. The Ea and B data provided valuable details regarding the sensitivity of the products. Predicted shelf-life of less than a year for the finished product instigated redevelopment. In the case of the APIs’, the existing storage conditions were found unsuitable for shelf-life stability, and alternate conducive conditions were identified. Conclusion:: The study provided cognizance regarding the distinct degradation pattern of an API and its formulation and the contradictory storage requirement for APIs’ of two different molecules. While the traditional approach claims 3-6 months to predict shelf-life, the ASAP approach provides the same with enhanced accuracy in just 3-4 weeks.
原料药和制剂开发阶段化学稳定性的早期预测
背景:传统的保质期预测方法需要大量的产品开发时间,导致严重的延迟。目的:本文讨论了非常规加速稳定性评估程序(ASAP)解码化学稳定性和加速保质期预测的能力。方法:采用ASAP方法,基于等转化比对2种原料药和1种制剂的保质期限制属性进行鉴定。得到了不同加速条件下的等转化时间,并用湿度修正的Arrhenius方程建立了降解动力学模型。推导R2和Q2值以确保模型的可预测性。根据活化能确定属性的温湿度敏感性;Ea,湿度敏感系数B。退化图显示了退化随时间的动态变化。利用现有的实时数据对预测值进行了验证。结果:对表现出转化的杂质进行了降解率建模,其等转化率在0.25-2.0之间。Ea和B数据提供了有关产品灵敏度的有价值的细节。预计保质期不到一年的成品煽动重新开发。在原料药的情况下,现有的储存条件被发现不适合货架期稳定性,并确定了替代的有利条件。结论:本研究对原料药的不同降解方式及其配方,以及两种不同分子的原料药贮存要求的矛盾提供了认识。虽然传统方法声称可以在3-6个月内预测保质期,但ASAP方法只需3-4周就能提供相同的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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