In this study, our main focus is to obtain samples in the odor intensity in time and space for each component in the mixture, namely limonene, geraniol, vanillin, and ethanol. To accomplish this, we sample from the probability density functions of all uncertain parameters and run simulations of the perfume diffusion model for each set of samples. While it is possible to calculate statistical metrics such as expectation and variance related to odor intensity without propagating uncertainty, as suggested by the Koopman operator discussion in SciMLExpectations.jl, the present work opted to estimate these metrics using output samples.