Mar 9 – 11, 2015
NH Laguna Palace Hotel
Europe/Rome timezone

Interactive spICP-MS data treatment using Nanocount

Mar 11, 2015, 4:48 PM
Breakout 3 (NH Laguna Palace Hotel)

Breakout 3

NH Laguna Palace Hotel

Parallel session 6C: Environmental exposure, release & fate 6C Environmental exposure, release & fate


Mr Geert Cornelis (Gothenburg University)


Interest in applying single particle ICP-MS (spICP-MS) in risk assessment of inorganic engineered nanomaterials (ENM) has been increasing because it is currently the only technique capable of measuring number-based particle size distributions of ENM at the likely low number concentrations in complex environments. However, the cumbersome treatment of large spICP-MS datasets slows the widespread adoption of spICP-MS. Nanocount©, furthers this adoption by accepting data from any ICP-MS so that it can interactively be calculated into particle size distributions. The capabilities to correct for drift and to distinguish dissolved and nanopartiuclate signals are demonstrated using non-ideal data of 15 nm Au NPs and FAST spICP-MS data of Ag ENM in wastewater treatment sludges. It is shown how more advanced data-treatment algorithms such as deconvolution are required to measure the lowest sizes possible where considerable overlap between dissolved and particulate signals exists. Moreover, the existence of many different data-treatment algorithms such as n x sigma, K-means clustering, deconvolution and FAST spICP-MS as well as different representations of the final particle size distribution can lead to widely different results. It is thus argued here that a large portion of the variability in spICP-MS results can be explained by differences in data treatment.

Primary author

Mr Geert Cornelis (Gothenburg University)

Presentation materials