Exploring Relationships between Aroma, Tasty Components Properties, and Marketing Price of Chinese Cabernet Sauvignon Using Gas Chromatography Mass Spectrum and High-Performance Liquid Chromatography

Figure 1

(a) Score plot (PCA) for all aroma variation among wine samples which were W1 to W6 belonging to lower marketing price group and W7 to W12 belonging to higher marketing price group. (b) The loading plot (PCA) for all aroma compounds which explains 88% of on the horizontal axis (PC1) and 6% on the vertical axis (PC2). (c) Score plot (PCA) for 14 aroma variation with OAV > 1 among the wine samples (W1–W12). (d) The loading plot (PCA) for all aroma compounds with OAV > 1 which explains 81% of on the horizontal axis (PC1) and13% on the vertical axis (PC2).

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