Optimizing 2D gas chromatography mass spectrometry for robust tissue, serum and urine metabolite profiling.

ABSTRACT: Two-dimensional gas chromatography mass spectrometry (GCxGC-MS) is utilized to an increasing extent in biomedical metabolomics. Here, we established and adapted metabolite extraction and derivatization protocols for cell/tissue biopsy, serum and urine samples according to their individual properties. GCxGC-MS analysis revealed detection of ~600 molecular features from which 165 were characterized representing different classes such as amino acids, fatty acids, lipids, carbohydrates, nucleotides and small polar components of glycolysis and the Krebs cycle using electron impact (EI) spectrum matching and validation using external standard compounds. Advantages of two-dimensional gas chromatography based resolution were demonstrated by optimizing gradient length and separation through modulat

SUBMITTER: Yu Z 

PROVIDER: S-EPMC5294743 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature