Discrimination and characterization of the volatile organic compounds in red and black raspberry wines fermented with different commercial Saccharomyces cerevisiae: An integrated analysis using E-nose, GC-MS, GC-IMS, and multivariate statistical models.

This study employed E-nose, GC-MS, and GC-IMS to analyze the volatile organic compounds (VOCs) of red and black raspberry wines fermented by commercial Saccharomyces cerevisiae (X16, RB2, XarOm). Relative odor activity value (ROAV) analysis, orthogonal partial least squares discriminant analysis (OPLS-DA), and random forest (RF) were employed to assess the VOCs and predict key aroma compounds comprehensively. The results revealed that red raspberry wine has a higher ester content (64.