Tag Archives: iC Kinetics

Symposium on Process Safety and Crystallization

On Tuesday, November 2, METTLER TOLEDO held its 1st Symposium in Cambridge, MA, hosted by Novartis Institutes for BioMedical Research (NIBR). The success of the Symposium went beyond expectations: 65 scientists representing a large variety of small companies (CoNCERT, Cubist, Tetraphase), larger companies (Pfizer, Dow, Amgen), and research institutions (Massachusetts Institute of Technology) attended the event. The main themes of the Symposium were crystallization and process safety. Des O’Grady and I started by giving an overview of the technologies later covered by the industry speakers: Focused Beam Reflectance Measurement (FBRM®), Particle Video Microscope (PVM®), EasyMax™, RC1, and ReactIR™. 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:
Continue reading

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.


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.