2023
DOI: 10.1016/j.foodres.2023.113059
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Comparative antioxidant activity and untargeted metabolomic analyses of cherry extracts of two Chinese cherry species based on UPLC-QTOF/MS and machine learning algorithms

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Cited by 8 publications
(1 citation statement)
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“…To identify bioactive components of MLEs, components were screened using VIP ≥ 1 and fold change (FC) ≥2 or ≤0.5 (Wang, Zhou, et al, 2023), and upregulation and downregulation of differential metabolites are presented in the volcano plots. Figure 2A reveals that compared to MLE1, the number of upregulation, downreduction, and inconspicuous metabolites in MLE2 was 335, 282, and 452, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…To identify bioactive components of MLEs, components were screened using VIP ≥ 1 and fold change (FC) ≥2 or ≤0.5 (Wang, Zhou, et al, 2023), and upregulation and downregulation of differential metabolites are presented in the volcano plots. Figure 2A reveals that compared to MLE1, the number of upregulation, downreduction, and inconspicuous metabolites in MLE2 was 335, 282, and 452, respectively.…”
Section: Resultsmentioning
confidence: 99%