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相关概念视频

Typical Model Studies01:30

Typical Model Studies

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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Measuring Reaction Rates03:09

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Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical...
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相关实验视频

Updated: Jun 17, 2025

Real-time Monitoring of Reactions Performed Using Continuous-flow Processing: The Preparation of 3-Acetylcoumarin as an Example
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使用动态流体实验同时构建反应和分析模型,以加快过程开发的速度.

Peter Sagmeister1,2, Lukas Melnizky1,2, Jason D Williams1,2

  • 1Institute of Chemistry, University of Graz, NAWI Graz Heinrichstrasse 28 8010 Graz Austria jason.williams@rcpe.at oliver.kappe@uni-graz.at.

Chemical science
|August 9, 2024
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概括
此摘要是机器生成的。

这项研究引入了一种新的双模拟方法,用于快速开发制药工艺. 它将过程分析技术 (PAT) 与反应优化集成在一起,大大节省了活性药物成分 (API) 合成的时间和资源.

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相关实验视频

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科学领域:

  • 制药科学 制药科学
  • 化学工程是化学工程的重要组成部分.
  • 过程化学 过程化学

背景情况:

  • 传统的制药开发涉及到长期的,单独的反应和分析模型开发过程.
  • 这往往导致代优化,并增加了活性药物成分 (API) 合成的时间表.

研究的目的:

  • 引入创新的双模拟方法,将过程分析技术 (PAT) 战略与反应优化相结合.
  • 为API加快合成路线和分析模型的开发.

主要方法:

  • 一个高度自动化的平台,结合了PAT策略和反应优化.
  • 在PAT校准中使用"标准加法"方法.
  • 采用动态实验进行过程空间选和动力参数适配.
  • 利用开源软件进行快速动力拟合和in silico优化.

主要成果:

  • 在化反应和尼达API合成中成功证明了这一点.
  • 在操作员参与最小的情况下实现了PAT校准.
  • 快速的动力参数调整和在几分钟内进行in silico优化.
  • 显著减少了过程开发时间表.

结论:

  • 双模拟方法为制药过程开发提供了一个范式转变.
  • 这种自动化工作流大大加快了化学过程的理解和优化.
  • 这种方法可以为制药行业节省大量的时间和资源.