Scientists have been stuck in a repetitive design, make, test, analyze workflow for years. Is there a more efficient process? Let's take a quick look at an accelerated chemical process development workflow. Data-rich experimentation, or DRE, and kinetic modelling are powerful tools that are being used to enable scientists to accomplish more effective, more efficient process development. Leveraging either technique individually can lead to significant improvements in process efficiency, understanding and optimization. Combining the two opens the possibility for exponential benefits, however. The recent joining of scale-up systems and Mettler Toledo brings together decades of experience in these two areas, combining knowledge and tools across advanced process analytical technology, automated reactor systems and process modeling. Integrating DRE and kinetic modelling into the process development workflow significantly increases process understanding, prediction and insight. This combined approach streamlines process development, enabling more efficient delivery of desired targets when compared to traditional workflows which are based on large amounts of physical experimentation and end point analysis only. A carefully designed and well implemented DRE and kinetic modelling workflow can deliver a significant overall resource savings, including more value from every experiment, fewer wasted experiments, predicting areas of chemical space that are unlikely to deliver a successful outcome, efficient scale-up, providing a robust framework for right first-time scale-up and technology transfer. Achieving strategic goals, supporting strategic targets such as design of sustainable and resource efficient processes, or ensuring that design and optimization efforts are directed towards feasible and impactful objectives. We've put together a white paper that dives deeper into the value of implementing DRE and mechanistic kinetic modeling. Visit mt.com. slash ac slash dre to download a copy and learn how your organization can start to accelerate chemical process development.
Discover how integrating DRE and kinetic modeling can revolutionize your approach to chemical development, equipping your team with the knowledge to enhance workflows, reduce the amount of time and resources required for optimization, and ensure right first time scale-up.
Today's fast-paced pharmaceutical, fine chemical, and agrichemical industries face increasing pressure to reduce development timelines while maintaining high safety and sustainability standards. This white paper explores the transformative potential of combining data-rich experimentation (DRE) and kinetic modeling to address these challenges by enabling unprecedented efficiency and understanding.
Key topics include:
- Data-rich experimentation (DRE) and process modeling: Learn the fundamentals of DRE and how it provides a strong foundation for optimized process development.
- Choosing the right model for the right problem: Explore various modeling approaches and understand their applications.
- Streamlining chemical process development: Discover how to integrate DRE and kinetic modeling for exponential gains in efficiency and understanding.
- How to apply DRE and kinetic modeling: Guidance and tips on implementing the combined approach for maximum impact.
- Real-world case studies: See how industry leaders have successfully applied DRE and kinetic modeling to solve complex chemical development challenges.
