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Regular Paper

Flavor characteristics of the juices from fresh market tomatoes differentiated from those from processing tomatoes by combined analysis of volatile profiles with sensory evaluation

, , , , , , & show all
Pages 2401-2411 | Received 17 May 2016, Accepted 02 Aug 2016, Published online: 30 Aug 2016

Figures & data

Table 1. Characteristics of the tomato juice samples used in this study.

Table 2. Compounds frequently detected as high VIP scores (>1.0) and their contribution to each sensory descriptor, lycopene content and Brix.

Fig. 1. Principal components analysis of volatile compounds. Score plot (A) and loading plot (B) for the detected volatile compounds are shown.

Notes: Pareto scaling was used for analysis. EtAc, ethyl acetate; GeraAc, geranyl acetate; Mes, dimethyl sulfide; MeSal, methyl salicylate; 6-MetHep, 6-methyl-5-hepten-2-one; NitroMetBut, 3-methyl-1-nitrobutane; NitrophenylEt, 1-nitro-2-phenylethane; PhenylAc, phenylacetaldehyde; PhenylEt, 2-phenylethanol; 2-Met-2-But, 2-methyl-2-butenal; 2-MetBenNit; 2-methylbenzonitrile.
Fig. 1. Principal components analysis of volatile compounds. Score plot (A) and loading plot (B) for the detected volatile compounds are shown.

Fig. 2. Relative peak intensities of ethyl acetate (A), dimethyl sulfide (B), cis-3-hexenol (C) and furfural (D) among 15 tomato juices.

Notes: The y-axis indicates the peak intensity of specific m/z for each compound; ethyl acetate (m/z 43), dimethyl sulfide (m/z 62), cis-3-hexenol (m/z 67), and furfural (m/z 96).
Fig. 2. Relative peak intensities of ethyl acetate (A), dimethyl sulfide (B), cis-3-hexenol (C) and furfural (D) among 15 tomato juices.

Fig. 3. Hierarchical clustering of tomato juices.

Note: The z-score for each detected volatile was used for analysis.
Fig. 3. Hierarchical clustering of tomato juices.

Fig. 4. Correlation between apocarotenoid volatiles and lycopene content, and the pathway of synthesis of apocarotenoids from lycopene by carotenoid cleavage dioxygenase in tomato.

Notes: Correlations between the contents of (A) 6-methyl-5-hepten-2-one and geranylacetone, (B) 6-methyl-5-hepten-2-one and lycopene, and (C) geranylacetone and lycopene. (D) Degradation of lycopene to 6-methyl-5-hepten-2-one and geranylacetone by carotenoid cleavage dioxygenase.
Fig. 4. Correlation between apocarotenoid volatiles and lycopene content, and the pathway of synthesis of apocarotenoids from lycopene by carotenoid cleavage dioxygenase in tomato.

Fig. 5. Correlation analysis of the PC1 values for the volatile compounds (x-axis) and sensory descriptors (y-axis) determined for the tomato juice samples.

Notes: Pareto scaling was performed for both analyses.
Fig. 5. Correlation analysis of the PC1 values for the volatile compounds (x-axis) and sensory descriptors (y-axis) determined for the tomato juice samples.

Fig. 6. The first predictive component values under score and loading plots by O2PLS analysis using volatile profiles (X-variables) and sensory scores by QDA analysis (Y-variables).

Notes: Unit valance scaling was used for the analysis. (A) Score plot values, (B) loading plot values for sensory descriptions, and (C) loading plot values for volatile compounds. The score t[1] indicates the largest variation summarizing the X-variables based on the information of Y-variables. The loadings p and q correspond to the covariance between X-variables to the predictive score vectors, and between Y-variables to the predictive score vectors, respectively.
Fig. 6. The first predictive component values under score and loading plots by O2PLS analysis using volatile profiles (X-variables) and sensory scores by QDA analysis (Y-variables).
Supplemental material

TBBB_1222264_Supplemental_Table_2.xlsx

Download MS Excel (79 KB)

TBBB_1222264_Supplemental_Table_1.xlsx

Download MS Excel (47.1 KB)

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