Speciation and δ 34 S analysis of volatile organic compounds in crude oil by GC-MC-ICP-MS using the Thermo Scientific GCI 300 Interface

Similar documents
Speciation of Bromine Compounds in Ozonated Drinking Water using Ion Chromatography and Inductively Coupled Plasma Mass Spectrometry

Thermo Scientific icap TQ ICP-MS: Typical limits of detection

Thermo Scientific icap RQ ICP-MS: Typical limits of detection

Exploring the Benefits of Automated Unattended Sample Derivatization Prior to Gas Chromatography Analysis

Analysis of high matrix samples using argon gas dilution with the Thermo Scientific icap RQ ICP-MS

of mass spectrometry

Analyzing Residual Solvents in Pharmaceutical Products Using GC Headspace with Valve-and-Loop Sampling

Automated and accurate component detection using reference mass spectra

A Strategy for an Unknown Screening Approach on Environmental Samples using HRAM Mass Spectrometry

High-Throughput LC-MS/MS Quantification of Estrone (E1) and Estradiol (E2) in Human Blood Plasma/Serum for Clinical Research Purposes

δ 13 C of DIC and carbonate samples: comparison of traditional mass spectrometry methods with an infrared spectrometry method

Mass Spectral Studies of Polypropylene Chromatographic Well Plates

Increasing Speed of UHPLC-MS Analysis Using Single-stage Orbitrap Mass Spectrometer

LC-MS/MS Method for the Determination of Diclofenac in Human Plasma

Accurate measurement of elemental impurities in metals and metal alloys using the Thermo Scientific icap TQ ICP-MS

A novel high resolution accurate mass Orbitrap-based GC-MS platform for routine analysis of Short Chained Chlorinated Paraffins

Determination of ultratrace elements in photoresist solvents using the Thermo Scientific icap TQs ICP-MS

Automated, intelligent sample preparation: Integration of the ESI prepfast Auto-dilution System with the Thermo Scientific icap 7400 ICP-OES

Analysis of Biomarkers in Crude Oil Using the Agilent 7200 GC/Q-TOF

Total Elemental Analysis of Food Samples for Routine and Research Laboratories, using the Thermo Scientific icap RQ ICP-MS

Fast and Reliable Method for the Analysis of Methylmalonic Acid from Human Plasma

Accelerated Solvent Extraction GC-MS Analysis and Detection of Polycyclic Aromatic Hydrocarbons in Soil

Low level Os isotopic measurements using multiple ion counting

Elemental Analysis: NCS characterization of paper

Advanced ICP-MS techniques for overcoming interferences in LA-ICP-MS bioimaging

Thermo Scientific ConFlo IV Universal Interface. Continuous Flow Interface. Isotope Ratio MS

Optimizing GC Parameters for Faster Separations with Conventional Instrumentation

New Multi-Collector Mass Spectrometry Data for Noble Gases Analysis

Applying the Technology of the TurboMatrix 650 ATD to the Analysis of Liquid Accelerants in Arson Investigation

Compound-Specific δ 34 S Analysis of Volatile Organics by Coupled GC/Multicollector-ICPMS

A Strategy for an Unknown Screening Approach on Environmental Samples Using HRAM Mass Spectrometry

Overcoming Interferences with the Thermo Scientific icap 7000 Plus Series ICP-OES

Achieve confident synthesis control with the Thermo Scientific ISQ EC single quadrupole mass spectrometer

Evaluation of a New HPLC, a New Tandem MS and a New Data Processing Software for General Clinical Use

Insights Into the Nanoworld Analysis of Nanoparticles with ICP-MS

Analysis of Trace (mg/kg) Thiophene in Benzene Using Two-Dimensional Gas Chromatography and Flame Ionization Detection Application

Tomorrow s quantitation with the TSQ Fortis mass spectrometer: quantitation of phenylephrine hydrochloride for QA/QC laboratories

Sensitive HILIC UHPLC-UV determination of steviol glycoside natural sweeteners

Using a Reagent-Free ion chromatography system to monitor trace anion contamination in the extracts of electronic components

Helium conservation in volatile organic compound analysis using U.S. EPA Method 8260C

Determination of Carbon d13c isotopic composition from DIC samples

Total elemental analysis of food samples for routine and research laboratories using the Thermo Scientific icap RQ ICP-MS

Multiple Fragmentation Methods for Small Molecule Characterization on a Dual Pressure Linear Ion Trap Orbitrap Hybrid Mass Spectrometer

Key Words Nanoparticles, spicp-ms, ICP-MS, Qtegra ISDS Software, AF4-ICP-MS

A Study of Stability, Robustness and Time Efficiency of a New HPLC and a New Tandem MS

The Importance of Area and Retention Time Precision in Gas Chromatography Technical Note

EA-IRMS: Fast and Precise Isotope Analysis of Liquids on a Delta V Isotope Ratio MS with a High Temperature Conversion Elemental Analyzer

Chemistry Gas Chromatography: Separation of Volatile Organics

GC-APCI IMS of Diesel

VOC Analysis of Water-Based Coatings by Headspace-Gas Chromatography

Elemental Analysis: CHNS/O characterization of polymers and plastics

Determination of Tetrafluoroborate, Perchlorate, and Hexafluorophosphate in a Simulated Electrolyte Sample from Lithium Ion Battery Production

Analysis of Ethanol and Isotopomers by 240 Quadrupole Ion Trap GC/MS

Determination of Volatile Substances Proof of Food Adulteration

Residual Solvents in Pharmaceuticals by USP Chapter <467> Methodology

Determination of VOC in Artificial Runway by Multiple Headspace Extraction-GC/MS. Gas Chromatography/ Mass Spectrometry APPLICATION.

Quantification of Pesticides in Food without Calibration using GC/FID with the Polyarc Reactor

Sulfotepp impurities in Chlorpyrifos EC formulations

Simplified workflows for the Thermo Scientific icap TQ ICP-MS

HELIX SFT. Static Vacuum ARGUS VI HELIX SFT. Static Vacuum Mass Spectrometer Static Vacuum Mass Spectrometer

Determination of BTEX in Cigarette Filter Fibers Using GC-MS with Automated Calibration

A Newly Approved ASTM Standard For Analysis of Thiophene in Benzene Using a Pulsed Flame Photometric Detector (PFPD)

Determination of underivatized aflatoxins B2, B1, G2, and G1 in ground hazelnuts by immunoaffinity solid-phase extraction with HPLC-FLD detection

Key Words Q Exactive, Accela, MetQuest, Mass Frontier, Drug Discovery

High-Pressure Electrolytic Carbonate Eluent Generation Devices and Their Applications in Ion Chromatography Systems

Improved Throughput and Reproducibility for Targeted Protein Quantification Using a New High-Performance Triple Quadrupole Mass Spectrometer

Plasma-free Metanephrines Quantitation with Automated Online Sample Preparation and a Liquid Chromatography-Tandem Mass Spectrometry Method

Simultaneous, Fast Analysis of Melamine and Analogues in Pharmaceutical Components Using Q Exactive - Benchtop Orbitrap LC-MS/MS

ARGUS VI. Static Vacuum Mass Spectrometer. Static Vacuum ARGUS VI. Multicollection Low Volume Precision

HR/AM Targeted Peptide Quantification on a Q Exactive MS: A Unique Combination of High Selectivity, High Sensitivity, and High Throughput

Dionex IonPac AS28-Fast-4µm column

Analysis of trace elements in polymer samples to ensure compliance with WEEE-RoHS standards using the Thermo Scientific icap 7200 ICP-OES

Determination of Ni isotopes in nickel material from the Rossi reactor

Defining quality standards for the analysis of solid samples

Precise Pb isotope analysis of igneous rocks using fully-automated double spike thermal ionization mass spectrometry (FA -DS- TIMS)

Gas Chromatography (GC)

Chromatographic Methods of Analysis Section: 5 Gas Chromatography (GC) Prof. Tarek A. Fayed

Chapter 27: Gas Chromatography

Determination of urea in ultrapure water by IC-MS/MS

Analysis of Sulfur-Containing Flavor Compounds By GC/MS With A PFPD

Improvement of bulk analysis of environmental samples by using a multiple collector ICP-MS

Nitrogen/Protein determination of infant food by the Thermo Scientific FlashSmart Elemental Analyzer using helium or argon as carrier gases

Thermo Scientific 253 Plus 10 kv Isotope Ratio MS. Utilize the Gold Standard. in isotope ratio MS. Robustness Sensitivity Precision

Characterization of Polymers and Plastics (pellets, powders and films) by the Thermo Scientific FLASH 2000 Elemental Analyzer

Application Note. Gas Chromatography/Mass Spectrometry/Food Safety. Abstract. Authors

A Direct 5 ms Column Performance Comparison for Active Semi-Volatile Analytes

Analysis of USP Method <467> Residual Solvents on the Agilent 8890 GC System

The Analysis of Residual Solvents in Pharmaceutical Products Using GC-VUV and Static Headspace

Mixed-Mode, Weak Anion-Exchange, Solid-Phase Extraction Method for the Extraction of Niflumic Acid from Human Plasma

Application Note S/SL

Sensitive Detection of 2-MIB and Geosmin in Drinking Water

GC-MS-IRMS: Undisputable results by coupling of GC-IRMS with high-resolution mass spectrometry for final confirmation in sports drug testing

Supported Liquid Extraction (SLE) Guide and FAQ s. User Guide

Isotope Dilution Mass Spectrometry

Analysis of Geosmin and 2-Methylisoborneol Utilizing the Stratum PTC and Aquatek 70

Introduction to Capillary GC. Page 1. Agilent Restricted February 2, 2011

2401 Gas (liquid) Chromatography

Fast methods for the determination of ibuprofen in drug products

Expanded capabilities in ammonium and amine detection

HELIX MC Plus. Static Vacuum. ARGUS VI Thermo Scientific HELIX MC Plus Static Vacuum Mass Spectrometer Static Vacuum Mass Spectrometer

Transcription:

TECHNICAL NOTE Speciation and δ 3 S analysis of volatile organic compounds in crude oil by GC-MC-ICP-MS using the Thermo Scientific GCI 3 Interface No. 3383 Grant Craig, Antonella Guzzonato, Christopher Brodie, Shona McSheehy Ducos, and Claudia Bouman Thermo Fisher Scientific, Bremen, Germany Keywords Neptune Plus ICP-MS, GCI 3 Interface, Gas Chromatography, Speciation, Sulfur, δ 3 S, Isotope Ratio, Crude Oil, Medium Resolution Goal To demonstrate the utility of the Thermo Scientific Neptune Plus Multicollector ICP-MS, when coupled with the Thermo Scientific Trace 131 GC via the Thermo Scientific GCI 3 Interface, for isotopic sulfur analysis of individual compounds within a series of crude oil samples. Introduction As the 1 th most abundant element on Earth, sulfur is a common constituent of many organic compounds. 1 Redox transitions of sulfur can result in large isotopic fractionations. By measuring the δ 3 S of individual compounds within a sample, information can be derived about the source of the sample and the processes it has undergone. Amrani et al (9) first explored the coupling of gas chromatography (GC) to a multicollector inductively coupled plasma mass spectrometer (MC-ICP- MS) for determining the δ 3 S of individual components in crude oil, which can contain weight percentage levels of sulfur. Subsequent GC-MC-ICP-MS has confirmed δ 3 S fractionation between benziothiophenes and dibenzothiophenes as indicative of petroleum samples which have undergone thermochemical sulfate reduction. 3 5 The GCI 3 Interface is a simple, lightweight, flexible transfer line, facilitating easy coupling between the Thermo Scientific Trace 13 GC and Thermo Scientific Neptune Plus MC-ICP-MS. The homogenous temperature profile helps maintain excellent GC peak definition, aiding compound identification and quantification, vital for a complex mixture such as crude oil.

Method Gas Chromatography A Thermo Scientifi c TRACE 13 GC was coupled to the Thermo Scientifi c Neptune Plus MC-ICP-MS via the GCI 3 Interface. A T-insert (Figure 1), inserted between the ICP injector and the interface, created a port for the introduction of reference gases to the plasma. Table 1. Instrument configuration and operation parameters. GC Parameters Oven Program Column Injection Volume Value Initial temp of 1 C, ramp at 1 C/min, 3 C ( min) 3 m.5 mm.5 μm (P/N 698-1) 1 μl Carrier Gas Injection Mode Injection Port Temperature He PTV, splitless Initial temp of 8 C, ramp at 1.5 C/min to 3 Clean at 35 C between runs Flow Rate 3 ml min -1 Septum Purge Flow 5 ml min -1 Figure 1. Connection of GCI 3 Interface to semi-demountable torch and injector. SF 6 gas could be added via the T-inlet. Purge Flow Transferline ICP-MS Parameters Interface Resolution RF Power 5 ml min -1 at 1.5 min 195 C (corresponding to 9 C) Ni-sampler (Std) Ni-skimmer (H) Medium 1 W Value The GC operational parameters (Table 1) were optimized for peak defi nition, 3 S/ 3 S ratio stability and run time. Optimization was performed with a mixture of four sulfur containing compounds, 3-hexylthiophene (eluting at 1 C), hexyl sulfi de (eluting at 15 C), dibenzothiophene (eluting at 18 C) and 1-octadecanethiol (eluting at 1 C) in toluene. The elution times covered the expected range of the sulfur-containing compounds within crude oil (Figure ). 3 S (V s- 1 ) 5 15 1 5 3.97 min 6.9 min 11. min 17. min 3 6 9 1 15 18 1 Time (min) Hexylthiophene Hexyl Sulfide Dibenzothiophene 1-Octadecanethiol Figure. Combined chromatogram of all four external standards, with retention times. Transferline Gas Flow Ar at 1.5 L min -1 Add Gas Cup Confi guration Integration Time Duration SF 6 in He at 3 ml min -1 (Tune) L3 3 S L1 33 S, C Mass 33.65, H1 3 S 131 ms 1 min Mass Spectrometry Tuning and calibration of the Neptune Plus MC-ICP-MS operating parameters (Table 1) required a stable sulfur signal. During tune 3 ml min -1 of SF 6, a colorless and inert gas, diluted in He was continuously introduced through the T-inlet. To separate the sulfur isotopes from O -based interferences requires at least medium resolution, or a m/m value of 5,. As the GC-MC-ICP-MS interface produced a very dry plasma, no O -based interferences were detected by a mass scan (Figure 3). However, as the presence of interferences during sample analysis could not be ruled out, an O interferent was deliberately introduced by injection of methanol ( µl) into the GC. The resulting mass spectra was used to position the centre mass away from interfering ions (Figure ).

L3 (V)..18.16.1.1.1.8.6.... 33.63 33.6 33.65 33.66 33.67 33.68 33.69 33.7 Center Cup Mass Figure 3. Mass scan of three sulfur isotopes in SF 6 tune gas. In dry conditions there is no evidence of O interferences. 1.8 1.6 1. 1. 1..8.6.. L3 3 S L3 3 S 16 O Center Mass L3 3 S H1 3 S L1 33 S..15.1.5. 33.63 33.6 33.653.65 33.66 33.67 33.68 33.69 33.7 Center Cup Mass Figure. Mass scan across 3 S, before and after the introduction of MeOH. Center Cup Mass positioned away from O interferences. L1 and H1 (V) Data analysis Investigations into the utility of GC-MC-ICP-MS have reported significant isotope ratio drift across peaks, 6 hampering accurate and precise measurement. In gas chromatography the retention times of the different isotopologues of a molecule can differ, causing isotope ratio drift. Additionally MC-ICP-MS analysis of short transient signals can result in isotope ratio drift, due to different tau responses on the Faraday cup amplifiers assigned to each isotope. A mechanism to correct for isotope ratio drift, based on a linear relationship between isotope ratio and the rate of signal change, 7 9 was necessary. Data (from Thermo Scientific Multi Collector Software SP 3..1.15) analysis was performed using an in-house data processing application, GC Neptune Evaluation, produced on the Shiny platform from R-Studio. Each chromatographic peak was identified through retention time. The background signal was ideally determined from 1- points directly preceding each peak, but in practice that was not always possible due to the complex GC spectra. In this case the nearest background area was selected. Corrections for isotope ratio drift were determined and applied within selected areas (Figure 5). Sample preparation Four crude oil samples (Bryan Mount, Basrah Light, Saudi Light and Saudi Medium) were prepared in a 1: mixture with hexane and passed through a µm PTFE syringe filter prior to injection. 1 µl of an internal standard, 3-hexylthiophene, was added to 1 µl of each oil/hexane mixture. Five replicate analyses were run for each sample. 3 S (V s -1 ) 1 1 8 6.5.51.5.9.8 3 S/ 3 S.7.6 7.5 7.1 7.15 7. 7.5 7.3 7.35 Time (min) Figure 5. Isotopic drift corrected 3 S/ 3 S ratio across a hexyl sulfide chromatographic peak.

In order to calibrate and report the raw isotope ratios in the conventional notation, the values of each of the four external standards, 3-hexylthiophene (.1±.66 ), hexyl sulfide (.71±.7 ), dibenzothiophene (13.7±.19 ) and 1-octadecanethiol (6.63±.13 ), were determined against calibrated reference materials (IAEA-S-1, IAEA-S- and IAEA-S-3) by EA-IRMS using the Thermo Scientific EA IsoLink IRMS System. The calibrated EA-IRMS values were plotted against the corresponding GC-MC-ICP-MS values to produce a normalization curve (Figure 6). The resulting external correction was used in combination with the added 3-hexylthiophene internal standard to calculate calibrated results for each compound identified within the crude oil samples. EA-IRMS (Calibrated, ) 16 1 1 1 8 6 y =.889x - 79.851 R² =.99736 9 9 96 98 1 1 1 16 GC-MC-ICP-MS Figure 6. normalization curve for GC-MC-ICP-MS produced from four external standard materials. Results The GC-MC-ICP-MS chromatogram for Bryan Mount crude oil was representative of all crude oil samples (Figure 7). Crude oil is a challenging matrix, containing numerous sulfur-containing compounds. However, alongside the internal standard, 11 major component peaks were identified for each sample (1 for Saudi Medium). 5 6 5 3 S (V s -1 ) 3 3-hexylthiophene (IS) 1 3 7 8 1 9 11 1 3 6 9 1 15 18 Time (min) Figure 7. 3 S Chromatogram of Bryan Mount crude oil and 3-hexylthiophene internal standard. values determined for 11 major peaks.

Only one of the peaks (number 5, dibenzothiophene) could be identified by comparing its retention time to the standard. Compounds with retention times longer than dibenzothiophene were likely also dibenzothiophenes, containing additional alkyl groups at postitions C1-C. Conversely, compounds with retention times less than dibenzothiophene were expected to be either benzothiophenes or alkyl-thiophenes. Therefore, the δ 3 S values of peaks 1 were compared to peak 5 11 as potential evidence of a thermochemical sulfate reduction. A shift of between 3 (Table ) was observed for all four crude oils, significant, but insufficient to suggest a major thermochemical sulfate reduction had occurred. Individual peaks exhibited larger shifts in δ 3 S, over 5 between peak and peak 1 for Saudi Light (Figure 8). The distribution of δ 3 S values were similar for each crude oil, suggesting a strong correlation between sulfur isotopic composition and the organic molecular structure of each compound. Table : Average δ 3 S VCD T ( ) values of five replicates for 11 major peaks within crude oil samples. Each peak was identified by retention time. Peak Bryan ( ) Mount Basrah ( ) Light Saudi ( ) Light Saudi ( ) Medium 1 5.3 ± 1.71-7.8 ±.69.1 ±.11 -.63 ±.37.97 ±.38-8.5 ±.8 1.38 ±.7 -.78 ±.6 3.8 ±.98-8.89 ±.6 -.93 ±.1-6.3 ±..79 ±.5-8.93 ±.6 -.87 ±.9-5.7 ±.38 5.33 ±. -9.87 ±.35 -. ±.1-6.99 ±.7 6 1. ±.3-1.93 ±.37-3.6 ±.17-8.9 ±. 7.16 ±. -1.1 ±.16-3. ±.5-7.97 ±.6 8.79 ±.39-9.77 ±.61-1.97 ±. -6.9 ±.7 9.79 ±. -11.3 ±.8-3.93 ±.7-8.9 ±.5 1 1.36 ±.1-11.53 ±.7 -.1 ±.18-9.3 ±.15 11.55 ±.8-1.87 ±.35-3.9 ±.3-8.7 ±.6 ( ) 3 1-1 - -3 - -5-6 1 3 5 6 7 8 9 1 11 Chromatogram Peak No. Figure 8. Boxplot of for 11 major peaks in Saudi Light crude oil. Box denotes 1σ, line σ, distribution. The different geological source of each crude oil was reflected in their δ 3 S compound values. The δ 3 (σ) of SVCDT dibenzothiophene could be used to identify each crude oil (Figure 9). 3 S VCDT ( ) - - -6-8 Brian Mount Basrah Light Saudi Light Saudi Medium -1-1 Crude Oil Figure 9. Boxplot of of dibenzothiophene in four different crude oils. Box denotes 1σ, line σ distribution.

Conclusion The GCI 3 interface was successfully applied to the isotopic analysis of sulfur containing compounds in crude oil. Highly reproducible, compounds could be identified via retention time, improving confidence in speciation analysis. GC-MC-ICP-MS can provide evidence of both the source of crude oil samples, and evidence of thermochemical sulfate reduction reactions in the paleoenvironment. References 1. R. R. Seal, Rev. Mineral. Geochemistry, 6, 61, 633 677.. A. Amrani, A. L. Sessions and J. F. Adkins, Anal. Chem., 9, 81, 97 93. 3. S. Li, A. Amrani, X. Pang, H. Yang, W. Said-Ahmad, B. Zhang and Q. Pang, Org. Geochem., 15, 78, 1.. Z. Gvirtzman, W. Said-Ahmad, G. S. Ellis, R. J. Hill, J. M. Moldowan, Z. Wei and A. Amrani, Geochim. Cosmochim. Acta, 15, 167, 1 161. 5. P. F. Greenwood, A. Amrani, A. Sessions, M. R. Raven, A. Holman, G. Dror, K. Grice, M. T. McCulloch and J. F. Adkins, in Principles and Practice of Analytical Techniques in Geosciences, ed. Kliti Grice, Royal Society of Chemistry, 15, pp. 85 31. 6. E. M. Krupp and O. F. X. Donard, Int. J. Mass Spectrom., 5,, 33. 7. T. Hirata, Y. Hayano and T. Ohno, J. Anal. At. Spectrom., 3, 18, 183. 8. J.-I. Kimura, Q. Chang, N. Kanazawa, S. Sasaki and B. S. Vaglarov, J. Anal. At. Spectrom., 16, 31, 79 8. 9. A. von Quadt, J.-F. Wotzlaw, Y. Buret, S. J. E. Large, I. Peytcheva and A. Trinquier, J. Anal. At. Spectrom., 16, 31, 658 665. Find out more at thermofisher.com/irms 16 Thermo Fisher Scientific Inc. All rights reserved. R-Studio and Shiny are tradmarks of RStudio, Inc. All other trademarks are the property of Thermo Fisher Scientific and its subsidiaries. This information is presented as an example of the capabilities of Thermo Fisher Scientific products. It is not intended to encourage use of these products in any manners that might infringe the intellectual property rights of others. Specifications, terms and pricing are subject to change. Not all products are available in all countries. Please consult your local sales representatives for details. TN3383-EN 116S