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Issue 55, 2018, Issue in Progress
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Metabolomic profiling of matured coconut water during post-harvest storage revealed discrimination and distinct changes in metabolites

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Abstract

The metabolites of coconut water stored at room temperature were analyzed using UPLC-MS/MS and multivariate statistical analysis to identify the differential biomarkers and metabolic pathways during post-harvest storage. Principal component analysis (PCA), partial least squares-discriminate analysis (PLS-DA), and orthogonal projections to latent structures discriminant analysis (OPLS-DA) were employed to analyze the UPLC-MS/MS data set of 34 matured coconut water samples collected after 0, 1, 2, 3, 4, and 5 months of storage (MOS); moreover, the p-value and fold change were chosen to identify the differential biomarkers; furthermore, a KEGG pathway was applied to analyze the metabolic pathways. All samples were discriminated well in the OPLS-DA model and were divided into two clusters: groups A (0 MOS, and so on), B, C, and D were in one cluster, and groups E and F were in another. A total of 18 biomarkers were identified among all groups and 12 biomarkers between groups A and E, from which we concluded that the post-harvest storage life of matured coconut water shall not exceed 3 months and the pathways of the TCA cycle, protein hydrolysis from coconut meat, and interconversion among amino acids were mainly enriched during the post-harvest storage.

Graphical abstract: Metabolomic profiling of matured coconut water during post-harvest storage revealed discrimination and distinct changes in metabolites

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Publication details

The article was received on 17 May 2018, accepted on 28 Aug 2018 and first published on 06 Sep 2018


Article type: Paper
DOI: 10.1039/C8RA04213F
RSC Adv., 2018,8, 31396-31405
  • Open access: Creative Commons BY-NC license
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    Metabolomic profiling of matured coconut water during post-harvest storage revealed discrimination and distinct changes in metabolites

    W. Chen, G. Zhang, W. Chen, Q. Zhong and H. Chen, RSC Adv., 2018, 8, 31396
    DOI: 10.1039/C8RA04213F

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