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Original Articles

Application of Pca and Slda Methods for the Classification and Differentiation of Cooked Pork From Chinese Indigenous Pig Breeds and A Hybrid Pig Breed

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Pages 1518-1528 | Received 16 May 2012, Accepted 17 Aug 2012, Published online: 21 Mar 2014

Figures & data

Table 1  Code and mean concentrations of cooked longissimus muscle from different breeds in headspace by SPME

Figure 1  PC1 vs. PC2 scatter plot of the main sources of variability between the pork samples: (a) distinction between the samples (scores) and (b) relation between the 13 aldehydes (loadings).

Figure 1  PC1 vs. PC2 scatter plot of the main sources of variability between the pork samples: (a) distinction between the samples (scores) and (b) relation between the 13 aldehydes (loadings).

Table 2  Prediction capacity of pork samples discriminant model according to pork variety

Figure 2  PC1 vs. PC2 scatter plot of the main sources of variability between the pork samples: (a) distinction between the samples (scores) and (b) relation between the 12 acids, alcohols, and alkanes (loadings).

Figure 2  PC1 vs. PC2 scatter plot of the main sources of variability between the pork samples: (a) distinction between the samples (scores) and (b) relation between the 12 acids, alcohols, and alkanes (loadings).

Figure 3  PC1 vs. PC2 scatter plot of the main sources of variability between the pork samples: (a) distinction between the samples (scores) and (b) relation between the eight Ketones and furans (loadings).

Figure 3  PC1 vs. PC2 scatter plot of the main sources of variability between the pork samples: (a) distinction between the samples (scores) and (b) relation between the eight Ketones and furans (loadings).

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