This project aims to develop a more effective wipe to sample residues. The researchers note that workplaces can have very different residues, so they will evaluate a variety of commercially-available wipes, designed for distinct residue types.

The researchers will use artificial intelligence to develop a predictive model - a process that uses data and probability to predict outcomes. The model will then help to optimize assessment and sampling of surface concentrations, for a diverse range of residues, and more accurately assess the quantities of contamination.

This research adds new knowledge that will enable workers and occupational hygienists to adjust their sampling practices, thereby offering better protection for workers. The ability to sample residues in the workplace using a more effective wipe will improve assessment of worker exposures, and mitigate contact with hazardous materials.