High-throughput methodologies

What are high-throughput methodologies?

High-throughput methodologies are used  to increase the discovery speed and formulation of new materials or products. They encompass a broad range of advanced experimental and computational tools and techniques which enable fast parallel experimentation, resulting in an increased productivity and faster time-to-market. The methodologies were first mainly known in pharmaceutical research and the development of new catalysts. Nevertheless, over the past 15-20 years, the interest in high-throughput methodologies has been broadened to other materials research areas.

Why consider high-throughput methodologies?

Traditionally most materials research is based on performing experiments in a sequential way, i.e. one at a time. However, this workflow has to cope with the interplay of many – often interdependent – parameters, making the sequential approach rather inefficient. 

Combinatorial experimentation solves this dilemma through automation, robotic handlingminiaturisation and the parallelisation of experiments. Using this strategy, a large number of experiments can be performed simultaneously, speeding up significantly the time-to-discovery and product development.  

Statistical analysis, data mining and visualisation tools allow for the harvesting of useful data and a better understanding of the parameters related to the synthesis, formulation and properties of new materials and products. This data can be further used as input for knowledge models. 

Over the years, FLAMAC has specialised in high-throughput methodologies.  With the expertise of our team, we’ve specifically designed several high-throughput platforms and accelerated characterisation tools to stimulate and improve your R&D projects.

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