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Ms workstation

Manufactured by Agilent Technologies

The MS Workstation is a software platform designed for Agilent mass spectrometry instruments. It provides a user interface and tools for instrument control, data acquisition, and data analysis.

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7 protocols using ms workstation

1

Quantifying Carbamazepine in Plant Nutrient Solutions

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Carbamazepine concentration in plant nutrient solutions was determined by high performance liquid chromatography (HPLC), using a Varian ProStar HPLC system (Varian ProStar 215 solvent delivery module, autosampler Prostar 410). All samples were prepared in triplicate. Plant nutrient solution samples were filtered using 0.45 μm pore size polyvinylidene fluoride filters (Rotilabo, Carl Roth) before injection. Injection volume was 40 μL. The separation was performed on a C18 ProntoSIL Spheribond ODS 2 (5 μM, 125 × 4 mm, Bischoff) column under reversed phase conditions, applying a linear gradient of eluents (buffer A: H2O, 0.1% TFA; buffer B: acetonitrile, 0.1% TFA) and a flow rate of 1 mL/min. The gradient started with 5% B for 2.5 min, ramped up to 95% in 15 min, remained at 95% for 3.5 min, and finally ramped down to 5% in 2 min. Carbamazepine was measured at 210 nm in a photodiode array detector (Varian ProStar 335) and identified by comparison of the spectra and retention time of an authentic standard (Sigma–Aldrich). Calibration curves were constructed from a set of carbamazepine standard solutions ranging from 0.25 to 12 mg/L (1.04–50 μM). Chromatograms were analyzed using MS Workstation version 6.9.3 (Varian).
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2

Quantification of Fucoidan in A. nodosum

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The quantification of fucoidan in purified fractions of A. nodosum extract was achieved on a Varian Prostar HPLC separation module with an integrated data system (Varian MS Workstation, version 6.9.2). The HPLC system was accompanied by an autosampler (Varian Prostar, model 450), a degasser isocratic pump, and a refractive index (RI) detector (Varian, model 350). The separation was performed at 25 °C using an ultrahydrogel™ 500 size exclusion column (7.8 × 300 mm; Waters, Herts, UK). The mobile phase consisting of ultrapure water (HPLC grade) was eluted at 0.6 mL/min in isocratic mode. The injection volume of 10 µL was kept constant for samples and standard compounds [53 (link)]. The limit of detection and the limit of quantification was found to be 0.003 mg/ml and 0.009 mg/mL, respectively. Meanwhile, the standard error for the method was 0.000167. Considering the nature of the extraction procedure (which involves 0.1N HCl solvent, 120 °C temperature for 62 min), no hydrolysis of fucoidan was performed. The concentration of fucoidan in the crude extract and purified fractions was directly determined using a calibration curve of commercial fucoidan, purchased from Sigma.
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3

Quantitative Analysis of Colonic SCFAs

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SCFA were detected as described [23 (link)]. Briefly, colonic contents were suspended in water. After centrifugation, the supernatants were saved and acidified by HCl. 4-methylvaleric acid was used as an internal standard. SCFAs were identified and quantified by the gas chromatograph CP-3800 (Varian) and mass spectrometry (GC-MS) system [30 (link)]. Varian MS Workstation (version 6.9.2.) software was used to collect and analyze the data. The linear regression equation was used to calculate the concentrations of specific SCFAs in colon samples.
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4

Quantification of Short-Chain Fatty Acids

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SCFAs were detected as described (19 (link)). Briefly, colonic contents were suspended in water. After centrifugation, the supernatants were saved and acidified by HCl. 4-methyl valeric acid was used as an internal standard. SCFAs were identified and quantified by the gas chromatograph CP-3800 (Varian) and mass spectrometry (GC-MS) system (39 (link)). Varian MS Workstation (version 6.9.2.) software was used to collect and analyze the data. The linear regression equation was used to calculate the concentrations of acetic acid and propionic acid in colon samples.
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5

Quantification of Colonic Short-Chain Fatty Acids

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Colon samples were suspended and homogenized in water. After centrifugation for 10 min at 12,000 rpm, the supernatant was collected and acidified by HCl. 4‐Methylvaleric acid as internal standard was added into the supernatant at a final concentration of 258 μM. Short‐chain fatty acids were identified and quantified by HP 5890 gas chromatograph configured with flame ionization detectors (Alrafas, Busbee, Nagarkatti, & Nagarkatti, 2019; Al‐Ghezi, Miranda, et al., 2019). Data were collected using the Varian MS Workstation (version 6.9.2.) software. The linear regression equation was used to calculate the concentration of different short‐chain fatty acids in colon samples.
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6

Quantification of Menthol-like Substances in Waterpipe Samples

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An Agilent 7890B GC system coupled with an Agilent 240 ion trap mass spectrometer was used, equipped with a 7693 auto-sampler and a G4513A injector. Data processing and analysis were performed by the MS workstation (version 7.0.2, Agilent technologies). GC-MS runs and data analysis were performed in the same manner as described before19 (link),25 (link). The 13 selected menthol-like substances and nicotine were quantified (by quantifier ion of analytical standard) in waterpipe samples where the respective flavoring was positively identified (by qualifier ion of analytical standard). Concentrations of the menthol-like substances are averages of duplicate extractions. Limits of detection (LOD) were calculated based on the calibration curve as S/N 3/1; the limit of quantification (LOQ) was set as the lowest point of the calibration curve (10 μg/mL).
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7

Categorizing Waterpipe Tobacco Flavors in the Netherlands

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Data processing and analysis was performed by the MS workstation (V.7.0.2, Agilent technologies) and the statistical software program R (V.3.6.0) and Excel as described previously.24 25 (link) Waterpipe tobacco products in the Dutch EU-CEG database on March 2019 (n=249) were assigned to flavour categories based on their product descriptions and/or brand names and, where needed, additional internet searches. The first mentioned flavour in the brand name or product description was considered a primary flavour and any additional flavours were considered secondary flavours. In total, 48 unique primary flavours were identified, forming the subcategories in the flavour wheel. Subcategories with similar properties (such as different types of fruit) were grouped into eight main categories, similar to the e-liquid flavour and cigar/cigarillo flavour wheels.26 27 (link) The category ‘other flavours’ was included for potentially used flavours (in the future or in other countries) that are not inferred from the registered waterpipe tobacco products in the Dutch EU-CEG database.
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