Which technique helps resolve overlapping peaks in XRF spectra?

Prepare for the NRCan XRF Analyzer Operator Certification Level 1 Exam. Utilize flashcards and multiple-choice questions with detailed hints and explanations. Ready yourself for a successful examination!

Overlapping peaks happen when elements emit X-rays at energies that are close together, so their signals blend in the spectrum. You can’t separate their contributions by just using a fixed energy window or ignoring the overlap. Spectral deconvolution solves this by fitting a model to the overlapped region that includes multiple peak shapes (often Gaussian or pseudo-Voigt) with known or constrained energies. The fitting process estimates how much area (and thus concentration) belongs to each peak, effectively disentangling the signals so each element can be quantified despite the overlap. Increasing sample density can alter intensities and background via self-absorption and scatter, not resolve overlaps. Ignoring overlaps or using lower detector resolution would only make the problem worse or biased. So, spectral deconvolution is the method that best resolves overlapping peaks.