We were delighted to release in April our new crystallization process design toolbox, having spent much of 2015 working with customers to better define requirements and piloting the toolbox as it developed in several live sessions.
You can get a good intro to the toolbox from the preview webinar we recorded in January 2016. In short, we combined several of our popular crystallization utilities, enhanced them and then automated the building of a crystallization kinetic model in the background. That model is ready to use for parameter fitting and detailed process predictions if you have suitable experimental data.
As you might expect, you can generate a solubility curve within seconds of pasting your data. You can also make quick estimates of operating profiles (cooling and/or addition) for controlled crystallization. And you can estimate the final PSD from the seed PSD and mass. That's all within a few minutes and before using the kinetic model.
The toolbox supports both design of experiments (helping make each lab run more valuable) and design of your crystallization process, especially in relation to scale-up or scale-down. There's a dedicated training exercise that walks you through application to a new project.
We'd be delighted to hear your feedback in due course.
Inspired by the user interface of our successful solvent swap model, the Main Inputs tab serves as a dashboard for designing and visualizing your crystallization process. |
You can get a good intro to the toolbox from the preview webinar we recorded in January 2016. In short, we combined several of our popular crystallization utilities, enhanced them and then automated the building of a crystallization kinetic model in the background. That model is ready to use for parameter fitting and detailed process predictions if you have suitable experimental data.
As you might expect, you can generate a solubility curve within seconds of pasting your data. You can also make quick estimates of operating profiles (cooling and/or addition) for controlled crystallization. And you can estimate the final PSD from the seed PSD and mass. That's all within a few minutes and before using the kinetic model.
The toolbox supports both design of experiments (helping make each lab run more valuable) and design of your crystallization process, especially in relation to scale-up or scale-down. There's a dedicated training exercise that walks you through application to a new project.
We'd be delighted to hear your feedback in due course.