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      Changes in volatile flavor of yak meat during oxidation based on multi-omics

      , , , , , , ,
      Food Chemistry
      Elsevier BV

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          Global metabolic profiling of animal and human tissues via UPLC-MS.

          Obtaining comprehensive, untargeted metabolic profiles for complex solid samples, e.g., animal tissues, requires sample preparation and access to information-rich analytical methodologies such as mass spectrometry (MS). Here we describe a practical two-step process for tissue samples that is based on extraction into 'aqueous' and 'organic' phases for polar and nonpolar metabolites. Separation methods such as ultraperformance liquid chromatography (UPLC) in combination with MS are needed to obtain sufficient resolution to create diagnostic metabolic profiles and identify candidate biomarkers. We provide detailed protocols for sample preparation, chromatographic procedures, multivariate analysis and metabolite identification via tandem MS (MS/MS) techniques and high-resolution MS. By using these optimized approaches, analysis of a set of samples using a 96-well plate format would take ~48 h: 1 h for system setup, 8-10 h for sample preparation, 34 h for UPLC-MS analysis and 2-3 h for preliminary/exploratory data processing, representing a robust method for untargeted metabolic screening of tissue samples.
            • Record: found
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            Recent progress in food flavor analysis using gas chromatography–ion mobility spectrometry (GC–IMS)

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              Proposed minimum reporting standards for data analysis in metabolomics

                Author and article information

                Journal
                Food Chemistry
                Food Chemistry
                Elsevier BV
                03088146
                March 2022
                March 2022
                : 371
                : 131103
                Article
                10.1016/j.foodchem.2021.131103
                34537608
                b472bb78-22c7-4d3e-a837-9ef9eba538f7
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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