For accurate Raman measurements, emission spectra must be free of fluorescence that obscures the critical information given by spectral “fingerprint” Raman peaks. The ideal Raman instrument can quickly and automatically generate a robust and fluorescence-free signal at the sampling point. Both mechanical and mathematical methods exist to reduce fluorescence, but with shortcomings and particular emphasis on spectral features. XTR is an algorithmic fluorescence-rejection technique that enhances the Raman spectrum for accurate analysis, identification, and verification of materials. Here, we present the fundamentals of the XTR method and provide application examples of XTR for identifying materials that have traditionally confounded Raman, like cellulose, oils, polymers, paints, and dyes.
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