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7890a series gc

Manufactured by Agilent Technologies
Sourced in Germany, Spain

The 7890A Series GC is a gas chromatograph designed for analytical and research applications. It features advanced technology for accurate and reliable separation and detection of chemical compounds. The 7890A Series GC provides consistent performance and versatility to meet the needs of various industries.

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14 protocols using 7890a series gc

1

GC-MS Analysis of Methanol Extracts

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Methanol extract was prepared (1 mg/mL), the methanol vaporized and subsequently was added 50 μL of derivatizing agent, BSTFA (N,O-bis [trimethylsilyl] trifluoroacetamide) + 1% TMCS (trimethylchlorosilane), and agitated for 2 min at room temperature. Finally, sample (1 μL) was inserted at a GC–MS system (Agilent GC Series 7890A and an Agilent single quadrupole MS detector Agilent model 5975C)), with electron impact model (70 eV) and the mass range at 50–700 m/z. The separation was performed on an HP-5MS capillary column (30 m × 0.25 mm i.d. × 0.25 μm) and splitless injector (at 250 °C) was used to 2.5 min/splitless time. The initial oven temperature was kept at 100 °C for 1 min and raised to 220 °C at 6 °C/min, and kept constant for 1.23 min, afterward raised to 290 °C at 10 °C/min, and raised to 310 °C at 40 °C/min, and kept constant for 7.5 min. The carrier gas (helium) flow rate was maintained at 1 mL/min. The GC–MS control and data processing was identified by comparing their mass spectra using Chem-Station (Agilent Technologies, DEU) software. Metabolite identifications was analyzed the spectral (MS) matching with commercialized libraries (NIST) based upon retention time, m/z, and percentage of spectral similarity greater than 60% and the internal standard.
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2

GC-MS Analysis of Fatty Acid Methyl Esters

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GC-MS analysis was carried out as accomplished by Lim et al. [31 (link)] with some modifications. The supernatants of the sample were prepared with the solvent and derivatized and subsequently were taken, and 1 μL of the sample was injected in triplicate in an Agilent gas chromatograph (GC) series 7890A (Wilmington, DE) coupled to a single quadrupole mass spectrometer (MS) detector (Agilent 5975C) equipped with an electron impact (EI) ionization source. The carrier gas (helium) flow rate was maintained at 1 mL min−1. The injector temperature was set at 250 °C in splitless mode. An HP-88 capillary column (30 m × 0.25 mm inner diameter × 0.25 μm) was used. The initial oven temperature was 50 °C, held for 1 min, and raised to 175 °C at 15 °C min−1, then raised to 240 °C at 1 °C min−1, and held for 5 min. EI energy was set at 70 eV, and the mass range was set at m/z 50−1100. FAMEs were identified and quantified by comparison with a standard Supelco 37 Component FAME Mix, and data processing was performed using ChemStation (Agilent Technologies) software.
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3

GC-MS Analysis of Derivatized Metabolites

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Each sample was prepared in methanol HPLC (1 mg/mL). Methanol was evaporated with nitrogen gas, and 50 μL of derivatizing agent, BSTFA (N,O-bis[trimethylsilyl]trifluoroacetamide, CAS 2561-30-2, Merck KGaA, Darmstadt, Germany) + 1% TMCS (trimethylchlorosilane) (CAS 75-77-4, Wacker Chemie AG, Burghausen, Germany ) was added. The solution was stirred for 2 min at room temperature, and 1 μL of the sample was injected in triplicate in an Agilent gas chromatograph (GC) series 7890A coupled to a single quadrupole mass spectrometer (MS) detector (model 5975C, Agilent Technologies, Waldbronn, Germany) equipped with an electron impact (EI) ionization source. The cattier gas (helium) flow rate was maintained at 1 mL min-1. The injector temperature was set at 250 °C in splitless mode. An HP-5MS capillary column (30 m length, 250 μm of inner diameter, and 0.25 μm of film thickness) was used. The initial oven temperature was 100 °C for 1 min, rising to 220 °C at 6 °C/min, and maintained for 1.23 min. Then, the temperature was increased to 290 °C at 10 °C/min, and finally raised to 310 °C at 40 °C/min, and maintained for 7.5 min. El energy was set at 70 eV, and the mass range was set at m/z 50 to 700. GC-MS control and data processing were performed with the Chem-Station (Agilent Technologies, Waldbronn, Germany) software version C.01.10.
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4

Metabolite Identification by GC-MS

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A GC–MS system (Agilent GC Series 7890A and Agilent single quadrupole MS detector model 5975C), with electron impact model (70 eV), a mass range of 50–700 m/z, HP-5MS capillary column (30 m × 0.25 mm i.d. x 0.25 μm), and splitless injection (at 250 °C) to 2.5 min/splitless time, was used for metabolite identification. The GC–MS control and data processing was performed by comparing their mass spectra using the Chem-Station (Agilent Technologies) software. Metabolite identification was analyzed through the spectral matching (MS) with commercialized libraries (NIST) based on the retention time, m/z, percentage of spectral similarity, and the internal standard.
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5

Chloroform Extraction of Volatile Metabolites

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The chloroform (5 mL) was added to 0.4 g of fresh tomato leaves ground treated with liquid nitrogen, the reaction was assisted with ultrasonic (Branson Sonifier 450): 40 KHz at room temperature for 1 h. Then the tubes were incubated in 85 °C for 4 h.
The chloroform extract was analyzed with GC–MS according to the method of EL Arroussi et al. [4 ]. GC MS analysis was performed after acid transesterification. The reaction was catalyzed by 6 % H2SO4 (w:w) in methanol and assisted by ultrasonic (Branson Sonifier 450) : 40 KHz at room temperature for 1 h. Volatile metabolites profile was characterized by gas chromatography (GC) (Agilent 7890A Series GC) coupled to mass spectrometry (MS) equipped with a multimode injector and 123-BD11 column with a dimension of 15 m x 320 μm x 0.1 μm and electron impact ionization. Detection was done using full scan mode between 30–1000 m/z, with gain factor of 5 and the identification was performed using NIST 2014 MS Library.
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6

GC-QqQ Analysis of Metabolites

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Following the procedure described in Hernandez-Alonso et al. [34 (link)], samples were analyzed in a 7890A Series GC coupled to a triple quadrupole (QqQ) (7000 series; Agilent Technologies, Barcelona, Spain) using the J&W Scientific HP5-MS (30 m × 0.25 mm i.d., 0.25 µm film; Agilent Technologies, Barcelona, Spain) chromatographic column and helium as a carrier gas. Ionization was carried out with electronic impact recording data in “Full Scan” mode.
Metabolite measurements were based on specific RT plus an ion fragmentation pattern. Quantification was performed by internal standard calibration, using the corresponding analytical standard for each determined metabolite (succinic d4 acid, glycerol 13C3, norvaline, L-methionine-(carboxy-13C, methyl-d3), D-glucose 13C6, myristic-d27 acid, and alpha-tocopherol d6), and a deuterated internal standard depending on the family of metabolite.
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7

Fatty Acid Methyl Ester Profiling by GC-MS

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The fatty acid methyl ester (FAME) profile was determined after basic transesterification. The reaction was catalyzed by 2% KOH (w : w) in methanol 1 : 20 for 1 hour under ultrasonic (Branson Sonifier 450) (40 kHz) at 40°C. FAME profile was characterized by gas chromatography (GC) (Agilent 7890A Series GC) coupled to mass spectrometry (MS) equipped with multimode injector and 5 MS column with a dimension of 30 m × 250 μm × 0.25 μm and electron impact ionization according to our protocol.
Two microliters of FAME solubilized in chloroform was injected into the column by splitless mode using helium as carrier gas at 1.5 ml/min. The ion source and quadruple temperatures were 230°C and 150°C, respectively. The oven temperature program was started at 70°C and maintained 1 min, increased at 20°C/min until 120°C, then held one minute before to be increased until 200°C by 30°C/min and held one minute then, increased at 250°C at 10°C/min and held one minute, then increased until 305°C at 5°C/min, and finally kept constant for 3 min. FAME composition was calculated as percentage of the total FAMEs present in the sample, determined from the peak areas. Detection was done using full scan mode between 35 and 600 m/z and with gain factor 5, and the identification was performed using NIST 2014 MS Library.
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8

Tomato Metabolomic Responses to Heavy Metals

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To explore the tomato plants metabolomic responses under heavy metals (Pb and Cd) stress and ACE treatment, GC–MS method was performed following the described in19 (link). Metabolomic analysis carry out by gas chromatography (GC) (Agilent 7890 A Series GC) coupled to mass spectrometry (MS) (Agilent 5975C) equipped with multimode injector and HP-5MS column with dimension of 30 m 250 mm 0.25 mm and electron impact ionization.
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9

GC-MS Analysis of Complex Samples

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The GC-MS system was composed of an Agilent 7890A series GC connected to an Agilent 5975C mass selective detector. An Agilent HP-5MS capillary column (30 m × 0.25 mm, 0.25 μm, Agilent Technologies, Santa Clara, CA, USA) was used for separation. Ultrapure helium was used as the carrier gas at a flow rate of 1.0 mL/min with injector temperature of 250 °C. One microliter of sample was injected under split mode (ratio 1:20). The oven temperature program was 50 °C for 2 min, rising at 4 °C/min to 150 °C for 3 min, followed by rising at 20 °C/min to 300 °C then held for 10 min. Electronic ionization source and quadrupole temperatures were 230 °C and 150 °C, respectively. All mass spectra were recorded in the full scan mode at 70 eV (m/z 20–800 amu) and the identifications of the compounds were conducted by comparing the obtained mass spectra (MS) with those of the NIST library.
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10

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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