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首页> 外文期刊>RSC Advances >Metabolomic profiling of matured coconut water during post-harvest storage revealed discrimination and distinct changes in metabolites
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Metabolomic profiling of matured coconut water during post-harvest storage revealed discrimination and distinct changes in metabolites

机译：收获后贮藏期间成熟的椰子水的代谢物分析显示了代谢物的辨别和不同的变化

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摘要

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.
机译：使用UPLC-MS / MS和多变量统计分析分析在室温下储存在室温下的椰子水的代谢物，以鉴定收获后储存过程中的差分生物标志物和代谢途径。主要成分分析（PCA），部分最小二乘 - 区分分析（PLS-DA）和潜在结构的正交投影判别分析（OPLS-DA）分析了34个成熟的椰子水样的UPLC-MS / MS数据集在0,1,2,3,4和5个月后收集（MOS）;此外，选择p值和折叠变化以识别差分生物标志物;此外，应用了Kegg途径来分析代谢途径。在OPLS-DA模型中识别出所有样品均匀，分为两个簇：A（0 MOS等），B，C和D在一个簇中，e和F组在另一个群体中。在A和E组之间的所有组和12个生物标志物中鉴定了总共18个生物标志物，我们得出的结论是，成熟的椰子水的收获后储存寿命不得超过3个月和TCA周期的途径，蛋白质水解椰子肉，氨基酸之间的相互转化在收获后储存期间主要富集。

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  • 来源
    《RSC Advances》 |2018年第55期|共10页
  • 作者

    Chen Weijun; Zhang Guanfei; Chen Wenxue; Zhong Qiuping; Chen Haiming;

  • 作者单位

    Hainan Univ Coll Food Sci &

    Technol Haikou 570228 Hainan Peoples R China;

    Hainan Univ Coll Food Sci &

    Technol Haikou 570228 Hainan Peoples R China;

    Hainan Univ Coll Food Sci &

    Technol Haikou 570228 Hainan Peoples R China;

    Hainan Univ Coll Food Sci &

    Technol Haikou 570228 Hainan Peoples R China;

    Hainan Univ Coll Food Sci &

    Technol Haikou 570228 Hainan Peoples R China;

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  • 正文语种 eng
  • 中图分类 化学;
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