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J w hp 5ms column

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The J&W HP-5MS column is a capillary gas chromatography (GC) column designed for a wide range of analytical applications. It features a 5% phenyl-methylpolysiloxane stationary phase, which provides good separation and peak shape for a variety of organic compounds. The column is inert, thermally stable, and suitable for use with a wide range of sample types.

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7 protocols using j w hp 5ms column

1

Quantification of Volatile Compounds in Beer

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The
method described in the previous section was modified for the quantitation
of these compounds. In both cases, the addition of salts was omitted.
For dimethyl sulfide, the beer sample (20 mL) was spiked with 1 μL
of 1,4-dichlorobenzene (100 mg/L in diethyl ether) as the internal
standard, and 5 mL aliquots were analyzed. For acetic acid, the aliquot
(5 mL) was acidified with 250 μL of HCl (6 M), and 50 μL
of acetic acid-d3 (1000 mg/L) was used
as the internal standard. In both cases, an Agilent J&W HP-5MS
column (30 m, 0.25 mm, 0.25 μm df) was employed, and the following
gradient was applied: 40 °C for 2 min, then 5 °C/min to
100 °C, and then 12 °C/min to 300 °C, keeping this
for 10 min. Calibration standards were prepared using the AFB as the
matrix.
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2

Quantifying Lipid Profiles in Biomass

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Three parallel cell samples were collected from each temperature at regular intervals to analyze the biomass and growth curves. Cells were collected using a centrifuge at 4°C and 21,300 rcf for 5 min; next, cell pellets were lyophilized in a freeze dryer to calculate Dry cell weight (DCW), and freeze-dried biomass was harvested and stored for use. The freeze-dried biomass was ground into a fine powder for total lipid extraction based on the Bligh–Dyer method (Bligh and Dyer, 1959 (link)) and analyzed by an Agilent 7890-5975 gas chromatography-mass spectrometer (GC-MS) with H2 as the carrier gas using an Agilent J&W HP-5MS column (30 m × 250 μm i.d., 0.25 μm film thickness; Agilent Technologies, Palo Alto, United States) (Hartig, 2008 (link)). Inlet and detector temperatures were set to 250 and 260°C, respectively. The temperature program was as follows: initial temperature 60°C for 5 min, increased at 25°C/min to 180°C, increased to 240°C at a rate of 3°C/min and held for 1 min, and increased at 5°C/min to 250°C. In addition, the full scan mode was used for GC-MS detection.
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3

Profiling Long-Chain Fatty Acids in C. elegans

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Profiling of long-chain fatty acids was performed.28 (link),58 (link) Briefly, synchronized L1 and L2 larvae were placed on NGM plates until they reached maturity at 20°C. After L4 around 1000 nematodes were manually transferred to fresh incubation plates containing the 1 μM dioscin for 12 h. GC/MS spectra were collected on an Agilent 7890B gas chromatograph outfitted with an Agilent J&W HP-5 MS column with mass spectrometer 5977B MSD (Agilent, Palo Alto, California, United States). Fatty acid abundance expressed as a ratio (μ g per mg) of fatty acid concentration(μ g per mL) to protein concentration (mg per mL) for each sample. GC-MS data for all figures are provided in Table S3.
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4

GC-MS Metabolomics Profiling of Serum and Fecal Samples

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Serum (200 μL) and faecal (20 mg) samples were pretreated before gas chromatography-mass spectrometry (GC-MS) analysis as described previously.19 (link) Briefly, samples were added to 800 μL of prechilled methanol before homogenization, centrifugation and filtration. The supernatant was subsequently dried with nitrogen, methoxymated and trimethylsilylated with 20 μL of heptadecanoic acid (1 μg/μL) as an internal standard. The prepared samples were then assayed with an Agilent 7890A-5975C GC-MS system (Agilent, CA, USA) using an Agilent J&W Hp-5 MS column. Raw GC-MS data were processed using Agilent Qualitative Analysis software (vB.07.00). Metabolite identification was based on the results of a programmed comparison with the National Institute of Standards and Technology (NIST) 17 mass spectral library using a matching score higher than 80 as the threshold. The identified compounds were then manually screened to remove the derivatization reagent to obtain the final result. Data were normalized to the internal standard prior to multivariate analysis. Orthogonal partial least squares discriminant analysis (OPLS-DA) was performed to visualize metabolic differences between groups using Umetrics SIMCA software v14.1.
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5

Enzymatic Synthesis of Farnesyl Pyrophosphate

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The DnFPPS activity was determined by transforming IPP and DMAPP to produce FPP. We put 2 mM MgCl2, 5 mM of DL-Dithiothreitol, 50 µM of DMAPP, 50 µM of IPP, 50 mM of MOPS (pH 7.5) and an appropriate amount of the DnFPPS (0.483 mg/mL) into the reaction mixture with a total volume of 200 µL. The product of the transformed colonies harboring pET-28a was used as a negative control. After incubating overnight at 37 °C, the mixture was extracted with l-butanol saturated with water, and the diphosphate group was hydrolyzed with potato acid phosphatase at 37 °C.The hydrolyzed products were extracted with n-hexane, filtered with a 0.22 μm membrane filter, loaded on an Agilent J&W HP-5MS column, eluted with N2 at 1.2 mL/min, detected by Gas Chromatography (GC) (Models 7890B; Agilent Technologies, Palo Alto, CA, USA). The temperature of the oven was first kept at 80 °C for 1 min, then increased to 220 °C at a rate of 10 °C/min, and finally held at this temperature for 10 min. The injector and transmission line temperatures were set at 200 and 250 °C, respectively. The detection of the analytes was performed using a mass spectrometer (MS) (Models 5977 A; Agilent Technologies) and the Nist11 database was used to analyze the compounds.
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6

Detailed Analytical Techniques for Chemical Characterization

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Gas Liquid Chromatography (GLC) analyses were performed using a Dani GC 1000 instrument (Dani Instruments S.p.A., Cologno Monzese, Italy) equipped with a programmed temperature vaporizer injector and recorded with a Dani DDS 1000 data station. The following capillary columns were used: (i) Agilent J&W HP-5ms column (30 m × 0.25 mm i.d. × 0.25 μm); (ii) Agilent J&W DB-5 column (30 m × 0.25 mm i.d. × 1 μm); (iii) Alltech AT-35 FSOT column (30 m × 0.25 mm i.d. × 0.25 μm). Chiral-GLC analyses were carried out through a CyclodexB (30 m × 0.25 mm × 0.25 μm) or a Chiraldex G-TA (20 m × 0.25 mm × 0.25 μm) column. EI-MS spectra were recorded at 70 eV by GLC-MS and performed on an Agilent 6890 N gas-chromatograph interfaced with an Agilent 5973 N mass detector. Elemental analyses were acquired with an Elementar Vario Micro Cube in CHNS mode.
1H NMR spectra were recorded on a Varian Gemini 200 or a Bruker 400 MHz spectrometer using tetramethylsilane as an internal standard. 1H NMR spectral data of the synthetized compounds are reported in Supplementary Materials section.
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7

Fecal Metabolomic Analysis by GC-MS

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The metabolomic sample was prepared from 0.2 g of feces as described previously (50 (link), 51 (link)). Metabolites were assayed by gas chromatography-mass spectrometry (GC-MS) using an Agilent 7890A GC system coupled to an Agilent 5975C inert mass selective detector system (Agilent Technologies, Santa Clara, CA). One microliter of prepared sample was injected into an Agilent J&W Hp-5 MS column in the pulsed splitless mode. The injection and interface temperatures were set to 250°C. The initial GC oven temperature was first maintained at 60°C for 5 min, then increased to 70°C for 2 min, further increased to 200°C at 10°C/min, maintained for 10 min, increased at a rate of 4°C/min to 300°C, and maintained at 300°C for 2 min. The carrier gas was helium at a flow rate of 1.0 ml/min. The solvent delay was set to 5 min 25 s. The measurements were made with electron impact (EI) ionization (70 eV) in the full-scan mode (50 m/z to 600 m/z).
Metabolites were identified using the NIST databases (https://www.nist.gov/) (score > 80). Orthogonal partial least-squares-discriminant analysis (OPLS-DA) and variable importance in the projection (VIP) calculations were performed using SIMCA software (version 14.1; Sartorius Stedim Biotech, Umeå, Sweden).
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