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A new HS-SPME/GC/MS method was developed to evaluate 61 volatiles in 24 Cabernet Sauvignon wines to determine how these compounds influence the wine's sensory profile.
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Sample Class Prediction (SCP) models are powerful tools that can use mass spectrometry data from highly complex samples to identify differences in sample classes.
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