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In both calibration and prediction models, the sensitivity and specificity values were found above 0.857, and 0.897, respectively. Also, the accuracy values were found above 0.915. The obtained results denote satisfactory accurate classification of the samples. Conclusion The results suggested that Raman spectroscopy coupled with PLS-DA was successful in discriminating milk samples according to heat treatment (raw/pasteurized) and their species within 20 s per sample. It was seen that Raman spectra provide valuable information to be used
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