PCA is effective in time-resolved X-ray diffraction data analysis

04 Mar 2011

$The application of statistical methodology to the analysis of time-resolved X-ray diffraction data$ Jonathan C. Burley and co-workers from the UK demonstrate, for the first time, the application of Principal Component Analysis (PCA) to the analysis of time-resolved energy-dispersive X-ray diffraction data. Such a new strategy for the analysis of large sets of diffraction data is needed with the increasing use of in situ diffraction for following a variety of chemical processes. PCA is shown to offer significant advantages over traditional curve-fitting methods in terms of speed and lack of potential user bias.