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活性药物成分化学稳定性测试新方法的后果。

Consequences of New Approach to Chemical Stability Tests to Active Pharmaceutical Ingredients.

作者信息

Jamrógiewicz Marzena

机构信息

Department of Physical Chemistry, Faculty of Pharmacy with Subfaculty of Laboratory Medicine, Medical University of Gdansk Gdansk, Poland.

出版信息

Front Pharmacol. 2016 Feb 8;7:17. doi: 10.3389/fphar.2016.00017. eCollection 2016.

Abstract

There is a great need of broaden look on stability tests of active pharmaceutical ingredients (APIs) in comparison with current requirements contained in pharmacopeia. By usage of many modern analytical methods the conception of monitoring the changes of APIs during initial stage of their exposure to harmful factors has been developed. New knowledge must be acquired in terms of identification of each degradation products, especially volatile ones. Further research as toxicology prediction during in silico studies of determined and identified degradation products is necessary. In silico methods are known as computational toxicology or computer-assisted technologies which are used for predicting toxicology of pharmaceutical substances such as impurities or degradation products. This is a specialized software and databases intended to calculate probability of genotoxicity or mutagenicity of these substances through a chemical structure-based screening process and algorithm specific to a given software program. Applying of new analytical approach is proposed as the usage of PAT tools, XRD, HS-SPME GC-MS/MS, LC-MS/MS for stability testing. Described improvements should be taken into account in case of each drug existing already in the market as well as being implemented as new one.

摘要

与药典中目前的要求相比,非常需要拓宽对活性药物成分(API)稳定性测试的看法。通过使用许多现代分析方法,已经形成了在API暴露于有害因素的初始阶段监测其变化的概念。必须在鉴定每种降解产物,特别是挥发性降解产物方面获得新知识。在对确定和鉴定的降解产物进行计算机模拟研究期间进行毒理学预测的进一步研究是必要的。计算机模拟方法被称为计算毒理学或计算机辅助技术,用于预测药物物质(如杂质或降解产物)的毒理学。这是一种专门的软件和数据库,旨在通过基于化学结构的筛选过程和特定于给定软件程序的算法来计算这些物质的遗传毒性或致突变性的概率。建议采用新的分析方法,如使用过程分析技术(PAT)工具、X射线衍射(XRD)、顶空固相微萃取气相色谱-串联质谱(HS-SPME GC-MS/MS)、液相色谱-串联质谱(LC-MS/MS)进行稳定性测试。对于市场上已有的每种药物以及作为新药实施的情况,都应考虑到上述改进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/4744843/c3d491fe7961/fphar-07-00017-g001.jpg

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