2024
DOI: 10.1016/j.fochx.2024.101291
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Characterization of the effect of different cooking methods on volatile compounds in fish cakes using a combination of GC–MS and GC-IMS

Xuebo Yang,
Qiuhan Chen,
Shouchun Liu
et al.
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Cited by 9 publications
(1 citation statement)
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“…OPLS-DA is a method of visualizing data and quantifying the degree of change between samples based on the correlation between the data. 23 In OPLS-DA model, R 2 X represented the cumulative explanatory rate of the model in the X-axis direction, and Q 2 represented the cumulative prediction rate of the model when modeling the multivariate statistical analysis. In theory, when the values of R 2 X and Q 2 were closer to 1, indicating a better model, and it was acceptable when R 2 X and Q 2 were higher than 0.4.…”
Section: Discussionmentioning
confidence: 99%
“…OPLS-DA is a method of visualizing data and quantifying the degree of change between samples based on the correlation between the data. 23 In OPLS-DA model, R 2 X represented the cumulative explanatory rate of the model in the X-axis direction, and Q 2 represented the cumulative prediction rate of the model when modeling the multivariate statistical analysis. In theory, when the values of R 2 X and Q 2 were closer to 1, indicating a better model, and it was acceptable when R 2 X and Q 2 were higher than 0.4.…”
Section: Discussionmentioning
confidence: 99%