An example of how a combination of experimental and predicted property data has been used to classify compounds as PMT/vPvM is the study by , which focused on the compounds in the REACH inventory . Their study concluded that about 1.9% of substances registered in REACH and 24% of REACH-registered substances that were detected in drinking water sources would be classified as PMT. However, over 40% of the inventory could not be assessed due to data gaps. This illustrates the importance of acquiring experimental data for a wider range of compounds.