溶出测试的数学模型:实时释放测试的挑战和机遇。

IF 5.3 2区 医学 Q1 PHARMACOLOGY & PHARMACY International Journal of Pharmaceutics Pub Date : 2025-01-25 DOI:10.1016/j.ijpharm.2024.125002
Kensaku Matsunami , Alexander Ryckaert , Valérie Vanhoorne , Ashish Kumar
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引用次数: 0

摘要

随着制药行业连续生产的采用,片剂溶出度实时释放试验(RTRt)可以显著提高生产效率。为了保证产品质量而不进行破坏性检测,RTRt模型必须足够可靠和健壮。机械模型具有更广泛的适用性和可解释性,而数据驱动模型由于计算速度快而成为常用的方法。本文讨论了应用溶出度测试机制模型实现固体剂量RTRt的挑战和机遇。通过对机械溶解模型和RTRt的文献综述,提出了机械溶解模型的潜在优势和挑战。与数据驱动模型相比,机制模型需要较少的实验数据,这可以减少RTRt开发的时间和成本。然而,为了在RTRt中实现机制模型,通过使用简单的机制模型或应用代理模型,应该缩短计算时间。
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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Mathematical models of dissolution testing: Challenges and opportunities toward real-time release testing
Real-time release testing (RTRt) of tablet dissolution can significantly improve manufacturing efficiency along with the adoption of continuous manufacturing in the pharmaceutical industry. To assure product quality without destructive testing, models for RTRt should be sufficiently reliable and robust. Whereas mechanistic models have merits of broader applicability and interpretability, data-driven models have been common approaches due to computational speed. This paper discusses challenges and opportunities in the application of mechanistic models for dissolution testing to enable RTRt of solid dosage. After a comprehensive literature review on mechanistic dissolution models and RTRt, the potential benefits and challenges of mechanistic models are presented. Compared to data-driven models, mechanistic models require less experimental data that can reduce time and cost for RTRt development. However, to enable the implementation of mechanistic models in RTRt, computational time should be short either by using a simple mechanistic model or by applying surrogate models.
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来源期刊
CiteScore
10.70
自引率
8.60%
发文量
951
审稿时长
72 days
期刊介绍: The International Journal of Pharmaceutics is the third most cited journal in the "Pharmacy & Pharmacology" category out of 366 journals, being the true home for pharmaceutical scientists concerned with the physical, chemical and biological properties of devices and delivery systems for drugs, vaccines and biologicals, including their design, manufacture and evaluation. This includes evaluation of the properties of drugs, excipients such as surfactants and polymers and novel materials. The journal has special sections on pharmaceutical nanotechnology and personalized medicines, and publishes research papers, reviews, commentaries and letters to the editor as well as special issues.
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