在制药制造业推进创新分析技术的实施-一些监管考虑
Ting Wang1, Nina S Cauchon2, J Paul Kirwan2
1Process Development, Amgen Inc., Thousand Oaks, CA 91320, United States.
Journal of pharmaceutical sciences
|December 26, 2024
概括
诸如多属性法 (MAM) 和拉曼光谱等先进的分析技术对于药物开发至关重要. 协调全球监管期望是采用这些创新的关键,以改善患者获取和产品安全.
科学领域:
- 制药制造业 制药制造业 制药制造业
- 分析化学 分析化学
- 监管科学 监管科学
背景情况:
- 分析技术对于理解和控制制药开发和制造中的属性至关重要.
- 科学方法的快速进步和技术的新应用正在改变这个领域.
- 由于缺乏协调的全球监管期望,采用先进技术存在挑战.
研究的目的:
- 探索新兴的分析技术趋势和在制药制造中的应用.
- 突出整合创新分析方法的监管考虑因素.
- 促进采用先进的分析技术,以提高患者获取,产品质量和安全.
主要方法:
- 审查新兴技术趋势和应用.
- 多属性方法 (MAM) 的详细示例.
- 讨论环境监测的快速微生物测试和产品识别的拉曼光谱.
主要成果:
- 确定了关键的创新分析技术,包括MAM,快速微生物测试和拉曼光谱.
- 强调了当前的监管环境和先进技术采用的挑战.
- 概述了希望在监管框架中取得的未来进展,以支持创新.
结论:
- 创新分析技术为制药开发和制造提供了巨大的潜力.
- 解决监管障碍对于成功实施这些先进方法至关重要.
- 协调的监管期望将促进新技术的采用,最终有利于患者获取和产品安全.
关键词:
分析化学是一种分析化学.抗体药物是一种抗体药物.机器学习 机器学习质谱法 (MS) 是一种质谱法.数学模型 (((s) 的使用.过程分析技术 (PAT) 是一种分析技术.通过设计的质量 (QBD)拉曼光谱法 拉曼光谱法监管科学是一种监管科学.更多相关视频
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