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 2

(a) Score plot (PCA) for monosaccharides, phenolic compounds, and organic acids 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 monosaccharides, phenolic compounds, and organic acids which explains 92% of on the horizontal axis (PC1) and 6% on the vertical axis (PC2). (c) Score plot (PCA) for total content of polyphenol, sugar, reduce sugar, acids, alcohol variation among the wine samples (W1–W12). (d) The loading plot (PCA) for total content of polyphenol, sugar, acids, alcohol variation which explains 53% of on the horizontal axis (PC1) and 33% on the vertical axis (PC2).

(a)

(b)

(c)

(d)