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5975c inert msd detector

Manufactured by Agilent Technologies
Sourced in United States

The 5975C inert MSD detector is a mass selective detector designed for use in gas chromatography-mass spectrometry (GC-MS) systems. It provides accurate mass analysis and identification of chemical compounds. The 5975C inert MSD detector features an inert ion source and high-performance quadrupole mass analyzer to deliver reliable and reproducible results.

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4 protocols using 5975c inert msd detector

1

GC-MS Analysis of Derivatized Samples

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Each derivatized sample (1 μL) was injected using the splitless mode with an Agilent Technologies 7890A chromatograph equipped with a HP-5MS column (30 m × 0.25 mm × 0.25 μm) and Agilent Technologies 5975C inert MSD detector. The initial oven temperature was held at 70 °C for 2 min, increased to 160 °C with 6 °C/min, and then to 240 °C with 10 °C/min, and finally increase to 300 °C with 20 °C/min, constant for 6 min, with He as carrier gas (1 mL/min) and MS detection. The temperatures of injector, transfer line, and electron impact ion source were set to 250, 290, and 230 °C, respectively.
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2

Urinary Steroid Profiling by LC-MS/MS and GC-MS

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Urinary free cortisol (F) and cortisone (E) quantification was performed using a validated liquid chromatography tandem mass spectrometry (LC-MS/MS) method, as extensively described elsewhere (21 (link)). Briefly, separation and quantification of both steroids was performed by using the MS urinary free cortisol/cortisone kit (ISBN-BSN, Castelleone, Italy) on a Nexera X2 series UHPLC (Shimadzu, Kyoto, Japan) coupled with a 4500 MD triple quadrupole MS (Sciex, Milan, Italy) detector. The mean intra- and inter-assay imprecision were between 1.7% and 11.3%
Total tetrahydro-cortisol (THF), 5α-tetrahydrocortisol (5α-THF), and tetrahydro-cortisone (THE) were quantified by gas chromatography–mass spectrometry (GC-MS) method, as previously described (17 (link), 22 (link)). Instrumentation used comprised an Agilent Technologies 7890A gas chromatograph and an Agilent Technologies 5975C inert MSD detector (Agilent Technologies Inc., Santa Clara, CA, USA). The mean intra- and inter-assay imprecision were between 3.9% and 13% for both methods.
Either F/E or THF+allo-THF/THE was measured on 24-h collected urine.
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3

Nicotine Quantification in Leaf Samples

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Dry leaf samples were subjected to alkaloids extraction as previously described previously (Goossens et al., 2003 ; Zhang et al., 2012 (link)) with minor modification. Briefly, 10mg of homogenized dry leaf sample was soaked in 1ml of 10% NaOH (w/v) for 20min and then extracted by vortexing with an equivalent volume of dichloromethane. The organic layer was collected after centrifugation. The nicotine content was measured on an Agilent Technologies 7890A Chromatograph equipped with a DB 5 MS column and Agilent Technologies 5975C inert MSD detector with helium as the carrier gas. The column temperature was held at 100 °C for 5min, increased to 210 °C at an increment of 50 °C min–1, and then held at 210 °C for 4min. The ion source temperature was 230 °C and the quadrupole temperature was 150 °C. Nicotine from Sigma–Aldrich was used as the standard control.
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4

Multiomics Analysis of Metabolic Profiles

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The process of sample preparation, gas chromatography-mass spectrometry (GC-MS) analysis, data processing, bioinformatics and statistical analysis were conducted as previously described41 (link). In brief, the serum, liver and feces were prepared, added with internal standards, dried under a gentle nitrogen stream, incubated with methoxylamine hydrochloride in anhydrous pyridine, derivatized with BSTFA (with 1% TMCS) and then splitlessly injected into an Agilent 7890 A series GC coupled to an HP-5MS column (30 m × 0.25 mm, 0.25 film thickness) and an Agilent 5975 C inert MSD detector. The GC-MS data were processed with DataBridge (Perkin-Elmer, USA), and multivariate statistical analysis was applied with SIMCA-P 11.0 software (Umetrics AB, Umeå, Sweden) to perform PCA and PLS-DA. The differential metabolites and metabolic pathways were determined using the Golm Metabolome and KEGG Database.
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