Despite its advantages, spectral unmixing presents certain challenges. One major issue is the need for high-quality reference spectra for each component in a mixture, which may not always be available. Additionally, the presence of noise in the data can complicate the unmixing process. Furthermore, computational complexity and the need for sophisticated algorithms can be barriers. Toxicologists must also consider potential variability in biological samples that might affect the accuracy of unmixing.
