Design of Experiments

Experimenting by varying one factor at a time is how all chemists are trained, but is not the most effective way to develop processes, and not the way industrial and academic scientists should be operating. A far more effective method is to apply a systematic approach to experimentation that considers all factors simultaneously. This approach is called design of experiments (DoE) and it’s a vital tool that can be used to gain information about the total system and understanding of the experimental space, while delivering a significant reduction in the number of experiments. DoE fits response data to mathematical equations and collectively these equations serve as models to predict what will happen for any given combination of values for significant factors. With these models it is possible to optimise important responses and find the best combination of values for the factors.

What will PMCC do for you?

There are many elements to consider with this form of experimentation: selecting factors and ranges; selecting the appropriate design to maximise the amount of information that can be obtained for a given amount of experimental effort; the analysis and interpretation of the data, including the prediction of reaction outcomes from the models. PMCC follow a process which deals with planning the design, analysis of the results and interpretation of the models, and we guide our clients through this, avoiding the pitfalls of DoE to assist from the aim of the project through to delivery of detailed presentations or full written reports.

An interesting introductory article to explain the principles of Design of Experiments and its application in chemistry is available here: Experimental design in chemistry: A tutorial.