Sure.
Multifactorial analysis is what I was talking. That is the terminology for that type of model, meaning that you basically analyze several dimensions of data all together. It increases the validity—it is true—of the forecast, meaning you can guesstimate much better from your starting material what the contaminant is.
The problem is that if the material is complex and includes several types of components, the existence of the validation of the forecast has not been proven yet. But for the before...if you are looking at one type—or as the gentleman suggested, two factorial analyses—this approach, proposed by a colleague, is a more intelligent way to go. This is true, but it's not perfect, because many materials include several different types of compounds, and the risk analysis is assuming that the individual and the interaction behave the same way. In reality, often, we know that is not the case.