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现实世界中的制造分类系统:影响现场商业化口服固体制剂制造工艺选择的因素,来自行业的案例研究和连续加工的考虑因素。

Manufacturing classification system in the real world: factors influencing manufacturing process choices for filed commercial oral solid dosage formulations, case studies from industry and considerations for continuous processing.

机构信息

a Drug Product Science & Technology (DPST), Bristol-Myers Squibb , Moreton , UK.

b Global Manufacturing and Supply, GlaxoSmithKline , Ware , UK.

出版信息

Pharm Dev Technol. 2018 Dec;23(10):964-977. doi: 10.1080/10837450.2018.1534863. Epub 2018 Nov 13.

Abstract

Following the first Manufacturing Classification System (MCS) paper, the team conducted surveys to establish which active pharmaceutical ingredient (API) properties were important when selecting or modifying materials to enable an efficient and robust pharmaceutical manufacturing process. The most commonly identified factors were (1) API particle size: small particle sizes are known to increase risk of processing issues; (2) Drug loading in the formulation: high drug loadings allow less opportunity to mitigate poor API properties through the use of excipients. The next step was to establish linkages with process decisions by identifying publicly-available proxies for these important parameters: dose (in place of drug loading) and BCS class (in place of particle size). Poorly-soluble API were seen as more likely to have controlled (smaller) particle size than more highly soluble API. Analysis of 435 regulatory filings revealed that higher doses and more poorly-soluble API was associated with more complex processing routes. Replacing the proxy factors with the original parameters should give the opportunity to demonstrate stronger trends. This assumption was tested by accessing a dataset relating to commercial tablet products. This showed that, for dry processes, a larger particle size was associated with higher achievable drug loading as determined by percolation threshold.

摘要

继第一篇《制造分类系统 (MCS)》论文之后,该团队进行了调查,以确定在选择或修改材料以实现高效、稳健的制药生产工艺时,哪些活性药物成分 (API) 的特性很重要。最常被识别的因素有:(1)API 粒径:小粒径已知会增加处理问题的风险;(2)制剂中的药物载量:高药物载量允许通过使用赋形剂来减轻 API 不良特性的机会减少。下一步是通过识别这些重要参数的公开可用代理来建立与工艺决策的联系:剂量(代替药物载量)和 BCS 分类(代替粒径)。与更高度溶解的 API 相比,溶解度较差的 API 被认为更有可能具有控制(较小)的粒径。对 435 份监管备案文件的分析表明,较高的剂量和更难溶的 API 与更复杂的处理途径有关。用原始参数替换代理因素应该有机会证明更强的趋势。这一假设通过访问与商业片剂产品相关的数据集进行了测试。这表明,对于干法工艺,较大的粒径与通过渗透阈值确定的更高的可实现药物载量相关。

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