Abstract
Raman spectroscopy is a non-destructive and non-contact technique that requires minimal sample preparation so it can be used to identify a wide range of minerals and gemstones. This optical technique is capable of measuring vibrational modes of biomolecules, allowing their identification from the correct location of the Raman bands, one of the main challenges is the elimination of spectral noise composed of (a) fluorescence background and (b) high frequency noise. The objective of the article was to demonstrate that using ANFIS (Neuro Fuzzy Adaptive Inference System) in combination with moving averages filter on the MATLAB multicore platform we can eliminate these disturbances and optimize response time in the preprocessing of large volumes of data while maintaining the spectral meaning related to the structure and/or composition of the mineral to be validated.
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