Tag Archives: Donna Blackmond

反应进程动力学分析—网络研讨会

从事有机化学反应研究、化学工艺过程开发或优化的工作者们常常对了解和利用有机化学反应进程信息及反应进程的动力学分析不知从何入手或找不到简捷有效的方法。基于多年给国际领先制药公司及化学公司咨询服务的经验,世界著名的Donna Blackmond教授(在Scripps Research Institute任职,之前在Imperial College of London)创建了并数次发表和讲解她总结出的一个简捷实用的反应进程动力学分析方法 — RPKA (Reaction Progress Kinetics Analysis). RPKA方法帮助研发人员从设计符合实际的、尽量少的、并且合理有效的化学反应实验起步,先由设计合理的实验中获得最具有信息价值的(原位、实时、连续)反应进程数据,再依基本反应动力学模型对所得数据进行简捷的图示化的多维分析评定,根据直观的动力学分析结果对反应机理、特征、更优反应设计、或反应潜在问题进行推理判断。通过合理的实验设计、高质量的实验数据、科学而简捷直观的数据处理和分析,此方法不仅简化了有机反应动力学研究,并且帮助研究人员快速、高效率地对其化学反应过程获得更深入的有实际价值的理解。RPKA方法已被成功地应用于很多现实复杂的有机化学反应,尤其是在制药合成工艺研发领域。除查找有关发表文献之外,有心学习或了解者不应错过Blackmond教授通过梅特勒-托利多网络研讨会系列所作专题报告,题为“反应进程动力学分析:流线化复杂有机反应研究的一个强有力的方法学”。本月二十日的研讨会将在四月二十八日同题研讨会的基础上进一步详细介绍RPKA方法学。 Continue reading

Optimize Chemistry Via Kinetic Analysis

On October 20, Professor Donna Blackmond will present the second part of a webinar series – Reaction Progress Kinetic Analysis: A Powerful Methodology for Streamlining the Study of Complex Organic Reactions. Continue reading

Why is Kinetic Data Valuable?

Arguably, kinetics is one of the least popular subjects in academic or industrial research.  During her recent webinar – Reaction Progress Kinetic Analysis: A Powerful Methodology for Streamlining the Study of Complex Organic Reactions, Donna Blackmond reiterated why having kinetic data can be valuable:
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How To Streamline Kinetics Studies Using Reaction Progress Kinetic Analysis (RPKA)

Check out this 2-minute video for a quick tour of how Reaction Progress Kinetic Analysis (RPKA) and iC Kinetics can streamline and accelerate kinetics studies.

httpv://www.youtube.com/watch?v=lo2K-hdf8xs

For a more detailed look at RPKA, check out this Free On-Demand Webinar (presented by Prof. Donna Blackmond): Reaction Progress Kinetic Analysis: A Powerful Methodology for Streamlining the Study of Complex Organic Reactions.

The Reaction Progress Kinetic Analysis (RPKA) Methodology, pioneered by Prof. Donna G. Blackmond of The Scripps Research Institute, requires far fewer reaction progress experiments than the classic kinetics approach. It accomplishes this by exploiting the extensive data available from accurate in-situ reaction monitoring under synthetically relevant conditions. The process is further streamlined by iC Kinetics software that automates the math and provides powerful visualizations to guide scientists to an understanding of reaction mechanisms and the selection of optimal reaction conditions.