RSC Advances · 2018 · 23 citations · 30 references
Life SciencesBiochemistryFood ScienceFood ChemistryMass Spectrometric AnalysisMetabolomicsMass Spectrometry-based MetabolomicsMetabolite ExtractionMetabolite IdentificationMetabolite ProfilingMetabolomics Data AnalysisWater In FoodsBiomarkersDifferential Metabolite AnalysisFold Change AnalysisMetabolite AnalysisPartial Least Squares Discriminant AnalysisPost-harvest StorageStatistical Analysis Of Metabolite ProfilesStorage Life
-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.
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The NCBI dbGaP database of genotypes and phenotypes
Matthew Mailman, Michael Feolo, Yumi Jin et al. · Nature Genetics · 2007 · 1.1K citations · Full text