Methods for metabolomics analysis were described previously (5 (link)). Briefly, plasma and urine samples were submitted for untargeted metabolomics analysis to the West Coast Metabolomics Center at UC Davis. Untargeted metabolomics profiling was performed using an Agilent 7890A gas chromatograph and a Leco Pegasus IV time-of-flight mass spectrometer. BinBase database was used to identify metabolites by retention index, align mass spectra, and perform gap filling. Data was reported as mass spectral peak height.
7890a gas chromatograph
Manufactured by Leco
The 7890A gas chromatograph is a laboratory instrument used for the separation, identification, and quantification of chemical compounds in a sample. It operates by vaporizing the sample and separating its components through a long, narrow column filled with a stationary phase. The separated components are then detected and measured, providing analytical data about the sample's composition.
Automatically generated - may contain errors
4 protocols using 7890a gas chromatograph
1
Untargeted GC-MS Metabolomics Profiling
2
Derivatization and GC-MS analysis of metabolites
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Methoxime/Trimethylsilyl derivatives for GCMS were prepared using a previously described procedure [53 (link)] GC-MS analysis was carried out using a Gerstel MPS2 autosampler, an Agilent 7890A Gas Chromatograph with Split/Splitless inlet, and a LECO Pegasus HT time-of-flight mass spectrometer. The method used was based upon that used previously for untargeted metabolomics [49 (link)]
3
Untargeted Metabolomic Analysis of Serum and Urine
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Serum and urine samples were submitted for an untargeted metabolomic analysis through the National Institutes of Health (NIH)‐funded West Coast Metabolomics Center in Davis, California. For analysis of serum and urine metabolites, metabolite levels were determined using an Agilent 7890A gas chromatograph coupled to a Leco Pegasus IV time‐of‐flight mass spectrometer, as previously described.4 Acquired spectra were further processed using the 130 BinBase database,4 , 5 including metabolite annotations by retention index and mass spectra matching. Data, reported as quantitative ion peak heights, were normalized by the sum intensity of all annotated metabolites across the entire study and used for further statistical analysis.
4
GC-TOF Analysis of Primary Metabolites
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Serum samples (30 µL) were thawed, extracted and derivatized as previously described [9] . Mass spectrometry analysis and data acquisition was performed using an Agilent 7890A gas chromatograph coupled to a Leco Pegasus IV time-of-flight (TOF) spectrometer. This method is specifically useful for primary metabolites including sugars, amino acids, and hydroxyl acids. Acquired spectra were further processed using the Bin-Base database [11, 12] .
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