Quantitative mass spectrometry method streamlines high-throughput analysis

A clever modification to the mass spectrometry method has enabled researchers to develop a generalised and quantitative technique to analyse high-throughput experiments. The accelerated analytical technique evaluated samples 150 times faster than conventional methods and will be a key step towards incorporating big data and machine learning into organic chemistry.

High-throughput screening has become a staple of drug discovery and reaction development, facilitating the exploration of huge areas of chemical space through efficient blocks of experiments. However, while automation has streamlined the experimental stage, the analysis of these screening results lags further and further behind.