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Msd5975 mass selective detector

Manufactured by Agilent Technologies
Sourced in United States

The MSD5975 is a mass selective detector designed for use with gas chromatography (GC) systems. Its core function is to detect, identify, and quantify compounds in a sample by analyzing their mass-to-charge ratios. The MSD5975 provides high-performance mass spectrometry capabilities for analytical applications.

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2 protocols using msd5975 mass selective detector

1

Methyl Chloroformate Metabolite Extraction

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Samples were chemically derivatized using a methyl chloroformate (MCF) method to extract metabolites according to the protocol published by Smart et al 20 . Briefly, 200 µL of sodium hydroxide (1 M) was added to the dried samples, and 167 µL of methanol and 34 µL of pyridine were added. Then, 20 µL of MCF was added with 30s of vortexing, and the addition of another 20 µL of MCF was followed by 30s of vortexing. Then, 400 µL of chloroform and 400 µL of sodium bicarbonate (50 mM) were added and vortexed for 10s. The lower chloroform phase was used for GC-MS analysis.
The samples were analyzed in a GC7890 system with an MSD5975 mass selective detector (Agilent, California, USA). The MSD5975 mass selective detector (Agilent) was a ZB-1701 GC capillary column (30 m x 250 μm id x 0.15 μm with 5-m guard column, Phenomenex, California, USA). One microliter of sample was injected into the GC inlet. Helium gas was the carrier gas flow at 1 mL/min. The auxiliary temperature, MS quadrupole, and MS source were 250°C, 230°C, and 150°C, respectively, and the scan speed was 1.562 u/s.
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2

Metabolite Extraction and GC-MS Analysis

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The metabolites were extracted using a methyl chloroformate (MCF) derivatization means based on the protocol published by Smart et al. (2010 (link)). The derivatized metabolites were analyzed in an Agilent 7890B Gas Chromatograph coupled with a MSD5975 mass selective detector (Agilent, USA) emitting electrons at 70 eV. Automated mass spectral deconvolution and identification system (AMDIS) was used to identify the GC–MS chromatographic peaks. The peaks were identified based on two standers; > 85% match to the fatty acid library spectra and within a 1-min bin of the library chromatographic retention time. The relative abundance of metabolites were quantified via our in-house MassOmics that uses the highest reference of ion fragments.
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