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6890 gas chromatograph

Manufactured by Agilent Technologies
Sourced in United States

The 6890 gas chromatograph is a versatile laboratory instrument designed for the separation and analysis of complex mixtures of volatile and semi-volatile organic compounds. It employs a column-based separation technique to separate the individual components of a sample, which are then detected and quantified by a suitable detector.

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89 protocols using 6890 gas chromatograph

1

Untargeted Metabolomic Analysis of Urine Samples

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Untargeted metabolomics analysis was performed by the West Coast Metabolomics Center at the University of California (Davis, CA, USA) using previously published methods [24 (link),25 (link)]. Urine aliquots were normalized to urinary creatinine concentration. Samples were injected into an Agilent 6890 gas chromatograph and separated with a 30 m long, 0.25-mm-IDRtx5Sil-MS column. Mass spectrometry was conducted on a Leco Pegasus IV time-of-flight mass spectrometer. Resulting GC data were annotated with the BinBase (BB) algorithm with an automated database at the West Coast Metabolomics Center. The BinBase database matches mass spectrum information and retention times to the Fiehn laboratory mass spectral library of 1200 authentic standards in addition to the NIST05 commercial library. Each metabolite’s peak heights of quantifier ions were measured and normalized by the sum of intensities of all known metabolites. Unnamed peaks (unknown metabolites) were excluded from the analysis.
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2

Comprehensive GC×GC-TOFMS Analysis of Samples

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A Pegasus® 4D GC×GC-TOFMS system (LECO) equipped with a liquid nitrogen cryogenic quad jet modulator and secondary oven was used for the sample analysis. The thermal desorption (TD) was performed with a thermal desorption unit (TDU) equipped with a MPS 2 auto-sampler and a liquid nitrogen (LN2) cooled CIS 4 programmed temperature vaporization (PTV) inlet (all from Gerstel) installed on an Agilent 6890 gas chromatograph (for further reference to methods used see Harker et al. [62 (link)]).
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3

GC-MS Analysis of Organic Compounds

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The analyses were carried out using an Agilent Model 7683 Autosampler, 6890 Gas Chromatograph, and 5975 Inert Mass Selective Detector in the electron impact (EI) mode according to Soliman et al., 2018 [22 (link)]. Data collection and analysis were performed using MSD Enhanced Chemstation software (Agilent). Product spectra were identified by comparison of the measured fragmentation patterns to those found in the NIST 08 Mass Spectral Library.
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4

Characterizing Bohai Crude Oil Profiles

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Natural seawater (salinity of 31.6 and pH of 7.8) was collected from the black rock reef area, Dalian, China (31.87°N, 121.55°E). The seawater was filtered with a 0.45 μm polycarbonate filter to remove large particles.
Sandy sediments used in the experiments were collected in the intertidal zone of the Yellow River mouth, Dongying, China (37.73°N, 119.16°E). After collection, the sediments were dried and passed through a sieve to separate particles by size (<200 μm).
Three kind of Bohai crude oils were employed in this study, which were obtained from the Liaohe oilfield (LX), Bohai south regional oilfield (YYH) and Bohai central regional oilfield (YYS), respectively. These oils were chosen due to their significant differences in viscosity and asphaltene content. Physicochemical properties of the three test oils are listed in Table 1, and the resolved n-alkanes of the test oils are plotted in Fig. 1. The oil hydrocarbon distributions were measured using an Agilent 6890 Gas Chromatograph equipped with a Flame-Ionization Detector (GC-FID). Parameters of GC-FID analysis were described in Wang et al. (2019),16 (link) and the distribution of n-alkanes were resolved using a certified reference material (C8–C40 alkane mixture, Sigma-Aldrich). The resolved n-alkanes of the test oils are distributed in the C8 to C32 carbon range with the maxima being around C20 to C30.
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5

GC-MS Analysis of Volatile Compounds

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Gas chromatography–mass spectrometry analyses were conducted with an Agilent Technologies 6890 gas chromatograph coupled to a 5973 mass spectrometer. A solvent delay of 2.5 min was added to the GC-MS method file to prevent excessive amounts of sulfur dioxide from damaging the mass spectrometer. The gas chromatograph injector was held at 270°C and operated in split mode (10:1) with a column flow rate of 1.1 mL min−1. Separation was performed on a J&W DB-5MS UI column (30 m × 0.25 mm × 0.25 μm). The gas chromatograph oven was held for 2 min at 40°C and then ramped to 310°C, where it was held for 10 min. Mass spectra were acquired in the scan range 45–550 amu.
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6

Urine Succinylacetone and Amino Acid Analysis

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Blood was collected using retro-orbital puncture of three mice for each group. Urine was collected over 24 h using metabolic cages (Techniplast, catalogue#3700M022). Urine succinylacetone was analysed using standard methodologies as described previously37 (link). Briefly, urine was mixed with an internal standard (13C succinylacetone, Cambridge Isotope, MA), and oximation was performed with hydroxylamine hydrochloride at pH>12, before adjusting pH to 1. The mixture was loaded on to a Chem Elut cartridge (Agilent, catalogue#12198006), eluted with ethylacetate and diethyl ether, dried under nitrogen and derivatized with Regisil. Trimethylsilyl derivatized compounds were separated on an Agilent 6890 Gas Chromatograph with a capillary GC column. Detection was performed by electron impact mass spectrometry (5973 MSD, Agilent, CA).
Plasma and urine amino acid analyses were performed on a Biochrom 30 HPLC amino acid analyser per standard protocols38 . Physiological amino acid standards were used to determine analyte concentration and analysed using the EZchrom Elite software.
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7

Fecal Metabolomic Profiling by GC-FID

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Analysis of fecal metabolomic profiles was performed by a commercial laboratory (Metabolon, Morrisville, NC) as previously described.49 SCFAs were separated from fecal matter by liquid-liquid extraction under basic conditions with inclusion of an internal standard. Extracts were clarified by centrifugation and then acidified in the presence of methyl-t-butyl ether (MTBE). MTBE layers were separated by centrifugation, and SCFAs were resolved by capillary gas chromatography with flame ionization detection (Agilent 6890 Gas Chromatograph).
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8

Quantifying Methane and Carbon Dioxide in Blood Vessels

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The medical blood vessel was used to collect the gas samples (CH4 and CO2). Gas chromatography (Agilent 6890 gas chromatograph) was used to measure the concentrations of CH4 and CO2. A thermal conductivity detector (TCD) and a TDX-01 filled column were used. The column temperature was set at 100 °C, and maintained for 10 min. The standard gas mixture was calibrated by 37% CO2, 4% N2, 0.802% H2, and CH4.
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9

Zn-Catalyzed Hydroamination of Phenylacetylene

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Before reaction, the catalysts were activated at 80 °C under vacuum overnight. Glass reaction vials were loaded with the catalyst (50 mol% Zn), phenylacetylene (0.5 mmol), 4-isopropylaniline (1 mmol), tetradecane (1 mmol) as internal standard and dry toluene (1 mL) as solvent. The vials were then placed in an aluminum block at 110 °C and stirred at 500 rpm using a magnetic stirring bar. After reaction, the catalyst was recovered by centrifugation and the liquid supernatant was analyzed by GC (Shimadzu 2014 GC equipped with a FID detector and a CP-Sil 5 CB column) and GC-MS (Agilent 6890 gas chromatograph, equipped with a HP-5MS column, coupled to a 5973 MSD mass spectrometer). After the reaction, the catalyst was dried under vacuum and characterized by PXRD. Recycling tests were performed after re-activation of the sample for 16 h before each run. The turnover frequency (TOF) of the Zn sites was calculated as mol of hydroamination product formed per mol of Zn per hour.
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10

Comprehensive Metabolomics Analysis of Plasma Samples

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All samples were analysed with MxP Global Profiling and MxP Lipids. MxP Global Profiling was performed employing (1) gas chromatography-mass spectrometry (GC-MS) using an Agilent 6890 gas chromatograph coupled to an Agilent 5973 mass-selective detector and (2) liquid chromatography‐tandem mass spectrometry (LC-MS/MS) using an Agilent 1100 high‐performance liquid chromatography system coupled to an Applied Biosystems API 4000 triple quadrupole mass spectrometer, as has been described in detail before.21–23 (link)
Up to 1449 metabolites were detected within the studies depending on the sample matrix and the analytical technique. The metabolites originated from 10 different ontology classes and comprised 838 known metabolites and 611 unknown spectral features. Only those metabolites that met specific quality criteria as described in24 (link) were included in further statistical analyses. Furthermore, quality assessment of plasma samples was performed using the MxP Biofluids Quality Control assay (see our patent application WO2015145387A1).25
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