Text mining and computational chemistry reveal trends in applications and applicability of capillary electrophoresis

Capillary electrophoresis has matured into a highly sensitive and widely applied analytical method over the last forty years. Here we combine text mining and computational chemistry to paint, with very broad strokes, the applicability and trends in the scientific literature on capillary electrophoresis, simulta-neously demonstrating that this is not only possible, but reveal both expected and unexpected details of this history. All software and data are freely available on GitHub (https://github.com/ReinV/SCOPE) and OSF (https://osf.io/e56zt/). (c) 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Automated summary

Capillary electrophoresis has become a highly sensitive and widely used analytical method. In this study, text mining and computational chemistry were used to analyze the scientific literature on capillary electrophoresis, revealing both expected and unexpected details. All software and data used in this study are freely available on GitHub and OSF.