首页> 外文期刊>Pharmaceutical development and technology >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
【24h】

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

机译:现实世界中的制造分类系统:影响制造工艺选择的因素,用于提交的商业口服固体剂量配方,行业和考虑因素的连续加工考虑

获取原文
获取原文并翻译 | 示例
           

摘要

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.
机译:在第一个制造分类系统(MCS)纸之后,该团队进行了在选择或改性材料以实现有效和稳健的药物制造过程时,该团队进行调查以确定有活性药物成分(API)性质。最常用的因素是(1)API粒度:已知小粒度增加加工问题的风险; (2)制剂中的药物载荷:高药物载荷允许较少机会通过使用赋形剂减轻差的API属性。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过程决策的联系:剂量(代替药物负载)和BCS类(代替粒径)。被视为更可能被控制(较小)的粒度比更高溶的API更容易受到难以溶于可溶性的API。 435例监管备案的分析显示,与更复杂的加工途径有关的较高剂量和更差的可溶性API。用原始参数替换代理因素应该有机会展示更强的趋势。通过访问与商业平板产品有关的数据集来测试此假设。这表明,对于干法,较大的粒度与通过渗透阈值确定的可实现的药物负载较高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号