7683 series autosampler

Manufactured by Agilent Technologies

The 7683 series autosampler is a lab equipment product from Agilent Technologies. It is designed to automate the injection of samples into an analytical instrument, such as a gas chromatograph or liquid chromatograph, to improve efficiency and throughput of sample analysis.

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7683 autosampler (18 citations) 7683 Series (10 citations)

7 protocols using 7683 series autosampler

Fatty Acid Profiling in Liver and Feed

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Liver tissue or pellets of feed were extracted as described above. Total fatty acids in the dried lipid extract (200 µL) were derivatized using methanolic boron trifluoride (14%, 125 µL). Chloroform/methanol (1:1, 100 µL) was added, and the samples were heated to 80°C for 90 minutes. After cooling, deionized water (300 μL) and hexane (600 μL) were added to each sample. The upper organic fractions were separated, dried under nitrogen, and reconstituted in hexane (200 μL) for analysis.
A 7683 series autosampler (Agilent Technologies, Santa Clara, CA) coupled to a 7683B Injector (Agilent Technologies) was used to inject 1 μL of sample onto an HP88 GC column (Agilent Technologies) (88% cyanopropyl aryl‐polysiloxane, 0.17 μm thickness, 320 μm diameter, 50 m length). The injector temperature was 250 °C using a split ratio of 10:1, and the flow rate of helium was 12 mL/min. An initial temperature of 100°C was held for 1 minute, followed by a temperature ramp of 10°C/min to 300°C, maintained for 2 minutes. Data were acquired after a solvent delay of 4 minutes (60‐400 m/z).

Hall Z., Bond N.J., Ashmore T., Sanders F., Ament Z., Wang X., Murray A.J., Bellafante E., Virtue S., Vidal‐Puig A., Allison M., Davies S.E., Koulman A., Vacca M, & Griffin J.L. (2017). Lipid zonation and phospholipid remodeling in nonalcoholic fatty liver disease. Hepatology (Baltimore, Md.), 65(4), 1165-1180.

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GC-MS Analysis of n-Butane Extracts

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The n‐butane extracts were diluted in methanol and analyzed using Agilent GC System 6890 Series coupled to Agilent 5973 Network Mass Selective Detector. Samples were injected with an Agilent 7683 Series Autosampler. The injector temperature was 260°C, and injection was in splitless mode. The HP5‐MS column (60 m × 0.25 mm, 0.25 µm film thickness) was used with helium as a carrier gas (99.999% purity) at a flow rate of 1 ml/min. The GC oven temperature was raised from 75 to 190°C at the rate of 10°C/min, then raised to 280°C at the rate of 20°C/min, and held for 5 min. The temperature of transfer line and ion source was 260 and 200°C, respectively. Screening of the chromatograms was performed in scan mode from m/z 40 to 450 at a rate of 6.61 uma/s. Component identification was accomplished matching the mass spectra with standards from the Wiley^® 275.L library. Quantitative analyses of components of interest expressed as area percentage were carried out by a peak area normalization measurement, three injections for each sample.

Liang Y., Li Y., Sun A, & Liu X. (2019). Chemical compound identification and antibacterial activity evaluation of cinnamon extracts obtained by subcritical n‐butane and ethanol extraction. Food Science & Nutrition, 7(6), 2186-2193.

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Metabolomic Analysis of Arabidopsis under Abiotic Stress

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For convenience of the reader we give a short summary of the experimental setup. We refer to the original publication (Caldana et al. 2011 (link)) for more details. Plants grown at 21 °C with a light intensity of 150 µE × m⁻² × s⁻¹ were either kept at this condition or transferred into seven different environments (4 °C, darkness;

21^{\circ}

, darkness; 32 °C, darkness; 4 °C, 85 µE × m⁻² × s⁻¹; 21 °C, 75 µE × m⁻² × s⁻¹; 21 °C, 300 µE × m⁻² × s⁻¹; 32 °C, 150 µE × m⁻² × s⁻¹.
Metabolites were extracted from single rosettes in a total of six replicates. Extraction and derivatization of metabolites from leaves using GC–MS were performed as previously reported (Lisec et al. 2006 (link)). GC–MS data were acquired on a Agilent 7683 series autosampler coupled to an Agilent 6890 gas chromatograph Leco Pegasus two time-of-flight mass spectrometer; acquisition parameters were as reported in (Weckwerth et al. 2004 (link)). Peak detection, retention time alignment and library matching were obtained using the TargetSearch package (Cuadros-Inostroza et al. 2009 (link)).

Saccenti E., Smilde A.K, & Camacho J. (2018). Group-wise ANOVA simultaneous component analysis for designed omics experiments. Metabolomics, 14(6), 73.

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Quantification of Proquinazid Residues in Must

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A QuEChERS dispersive kit (Agilent Technologies, Santa Clara, CA, USA) was employed for the extraction and purification of proquinazid residues from must samples (European Committee for Standardization Standard Method EN 15662) [19 (link)]. Purified extracts were filtered through 0.22 μm Teflon filters and analyzed by gas chromatography‒mass spectrometry (GC—MS) using an Agilent 6890N GC network system, equipped with a 7683 series autosampler, a HP-5MS (30 m × 0.25 mm × 0.25 μm) capillary column, and a 5973 mass selective detector. GC—MS measurement conditions were as follow: one microliter extract was injected in splitless mode at 300°C by employing helium as carrier with a constant flow of 1 mL/min. The oven temperature program (150°C) was held for 1 min, increased at a rate of 10°C/min up to 280°C and held at this temperature for 2 min. The transfer line and source temperatures were 280°C and 250°C, respectively. Electron impact ionization at 70 eV was used, and the employed quantification ions were 330 and 288 m/z for proquinazid and 325 and 326 m/z for TPP, the internal standard.

Esteve-Turrillas F.A., Mercader J.V., Parra J., Agulló C., Abad-Somovilla A, & Abad-Fuentes A. (2015). Ready Access to Proquinazid Haptens via Cross-Coupling Chemistry for Antibody Generation and Immunoassay Development. PLoS ONE, 10(7), e0134042.

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Analysis of Fipronil and Bifenthrin by GC-MS

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An Agilent 6890 GC interfaced with an Agilent 5973 quadrupole MS was used for the analysis of fipronil and bifenthrin. An Agilent 7683 series autosampler was used to inject sample extracts and standards onto a 30-m Restek 5MS GC column with internal diameter of 0.25 mm and film thickness of 0.25 µm. Instrument control and quantitative data analyses were carried out in Agilent Chemstation software (Agilent, Santa Clara, CA). Injection volume of the extracts was 2.0 µl with pulsed splitless injection at 20 psi for 0.74 min. The injector temperature was 250°C, and transfer line temperature was 280°C. The carrier gas in the line was helium with the constant flow rate of 1.2 ml/min. The MS was operated in electron impact ionization mode with the MS ion source at 230°C and quadrupoles at 150°C. The electron multiplier was set 200 V above the PFTBA-autotuned setting. For screening and quantitative analysis, selected ion monitoring mode was used. For initial identification of pesticide, detection of the characteristic ion peaks and their relative abundances (%) and the comparison of retention times with those observed in the analytical standard were used. The average recovery rates of fipronil from sand and soil were 77 and 83%, whereas the average recovery rates of bifenthrin from sand and soil were 85.6 and 87.2%, respectively.

Sapkota R., Stout M.J, & Henderson G. (2019). Residual Effects of Termiticides on Mortality of Formosan Subterranean Termite (Isoptera: Rhinotermitidae) on Substrates Subjected to Flooding. Journal of Economic Entomology, 113(1), 367-374.

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Cannabinoid Identification and Quantification by GC-MS

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GC-MS analysis was performed using an Agilent 7890 Gas Chromatograph equipped with a 7683 Series Autosampler and a 5975 Mass Selective Detector (MSD) using the Chemstation software. Analyte separation was achieved on a fused silica capillary column HP-5MS (30 m × 250 μm i.d. × 0.25 μm film thickness). Helium was used as the carrier gas at a flow rate of 1.0 ml/min. The inlet temperature was set at 250 °C, and samples were injected in the splitless mode. The oven temperature was programmed at 80 °C (hold for 2 min) followed by an increase to 290 °C at a rate of 20 °C/min and held for 2 min. The total run time was 14.50 min with a solvent delay of 3 min.
The mass spectrometer was operated with the electron energy set at 70 eV. The retention times and characteristic mass fragments of the silyl derivatives of the cannabinoids were determined by recording the electron impact (EI) spectra in the total ion monitoring mode (scan range m/z 50–550). For quantitative analysis, the chosen characteristic mass fragments were monitored in the selected-ion-monitoring (SIM) mode: m/z 371,315, 386 for THC, m/z 390, 337, 301 for CBD, m/z 491,493, 492 for CBDA, m/z 487, 489, 488 for THCA, m/z 367, 368, 382 for CBN, m/z 374 for THC-d3, m/z 393 for CBD-d3, and m/z 370 for CBN-d3 (quantitative ions are in bold).

Lindsay C.M., Abel W.D., Jones-Edwards E.E., Brown P.D., Bernard K.K, & Taylor T.T. (2021). Form and content of Jamaican cannabis edibles. Journal of Cannabis Research, 3, 29.

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GC-MS Analysis of Lipid Standards

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Chromatographic analysis was performed with an Agilent Technologies 7890A network GC system, equipped with an Agilent 7683 Series autosampler. An Agilent J&W Scientific HP5-MS UI (30 m x0.25 mm x0.25 µm) column was used. Helium was used as the carrier gas (1 mL/min), the injection volume was 1 µL, with a solvent delay of 3.6 min. Splitless mode was set for the injections, along with a 40 mL/ min at 0.75 min purge flow. Inlet temperature was set at 250 °C, the oven temperature was: Initially at 80 °C, then with a ramp of 10 °C/min to 230 °C for 2 min and finally with a ramp of 4 °C/min up to 310 °C for 8 min. The total run time was 46 min. The GC was coupled with an Agilent 5975B Inert MSD system using electron impact (EI) ionisation. The transfer line between the column and the MS was kept at 280 °C. The method was adapted from [34] . The following standard compounds were purchased from Sigma-Aldrich: Squalene, palmitic acid, stearic acid, methyl stearate, methyl tetradecanoate, pentadecanoic acid.

Pollitt J.N., Christofidis G., Morrissey J, & Birkett J.W. (2020). Vacuum metal deposition enhancement of friction ridge detail on ballistic materials. Forensic science international, 316.

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