Discrimination of document paper by XRF, LA–ICP–MS and IRMS using multivariate statistical techniques

The purpose of this study was to evaluate the potential of inorganic analysis techniques for the discrimination of document (multipurpose office) paper. A set of 25 different multipurpose office papers from the European market was used for comparison. It appeared that for the single techniques LA–ICP–MS had the highest overall discriminating power. Despite its lower sensitivity, XRF also showed good discriminating power but the correlation with LA–ICP–MS is high. The combination of LA–ICP–MS and IRMS provides a powerful and strongly discriminating set of techniques.