Analysis of Aromatic Sulfur Compounds in Gas Oils Using GC with Sulfur Chemiluminescence Detection and High-Resolution MS

García, C. López; Becchi, Michel; Grenier‐Loustalot, Marie‐Florence; Paisse, O.; Szymanski, R.

doi:10.1021/ac011190e

Cited by 67 publications

(12 citation statements)

References 17 publications

(23 reference statements)

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“…Furthermore, they potentially have biological activity and may pose an environmental and toxicological hazard. 11,[36][37][38] Therefore, their characterization is an important pursuit. They are routinely analyzed by direct infusion mass spectrometry that provides the molecular formula but not connectivity.…”

Section: Discussionmentioning

confidence: 99%

Extended characterization of petroleum aromatics using off-line LC-GC-MS

Huynh

Jensen

Sundberg

2021

Preprint

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Crude oil remains a grand challenge for analytical chemists. With the advent of multidimensional chromatography and high-resolution mass spectrometry, an impressive number of compounds have been identified. However, the large diversity in structure and abundance makes it difficult to obtain full compound coverage in a single analysis. Sample preparation methods such as solid-phase extraction and SARA-type analysis reduces this complexity. However, the molecular diversity within each fraction is still highly complex. Thus, in the routine analysis, only a small part of the chemical space is typically characterized. Obtaining a more detailed composition of crude oil is important for production, processing and environmental aspects. We have developed a high-resolution fractionation method for isolation and preconcentration of trace aromatics, including oxygenated and nitrogencontaining species. By the isolation of the more abundant aromatics, i.e. monoaromatics and naphthalenes, trace species can be enriched for analysis. This enables the identification of features not detectable by routine methods. We demonstrate the applicability by fractionation and subsequent GC-MS analysis of 14 crude oils sourced from the North Sea. The number of tentatively identified compounds increased by approximately 60 to 150% compared to solidphase extraction and GC×GC-MS. Furthermore, the method was used to successfully isolate and identify a new set of heteroatom-containing aromatics (amines, ketones). The method is not intended to replace traditional sample preparation techniques or multi-dimensional chromatography but acts as a complementary tool. An in-depth comparison to routine characterization techniques is presented concerning advantages and disadvantages.

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Section: Discussionmentioning

confidence: 99%

Extended characterization of petroleum aromatics using off-line LC-GC-MS

Huynh

Jensen

Sundberg

2021

Preprint

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“…These mixtures also show a marginal presence of nitrogen but an important content in sulphur, which is present in heterocyclic structures, such as thiophenes and benzothiophenes 28 . Their boiling point is in the range of 120°C to 450°C, which corresponds to the molecules with a number of carbons between C 8 and C 30…”

Section: Application To the Molecular Reconstruction Of Lco Gas Oilsmentioning

confidence: 99%

Application of Monte Carlo techniques to LCO gas oil hydrotreating: Molecular reconstruction and kinetic modelling

2016

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International audienceThe increasing pressure to satisfy the environmental criteria concerning oil products leads to the need for developing accurate models to predict the performances of the refining processes. In the current study, a stochastic two-step procedure using Monte Carlo techniques is applied to and validated on the hydrotreating of Light Cycle Oil (LCO) gas oils. In the first step, a mixture of molecules representative of the LCO gas oils is generated using a molecular econstruction method termed SR-REM. Subsequently, the Stochastic Simulation Algorithm (SSA) is applied to simulate the evolution of the mixture composition during hydrotreating. The results show that an accurate representation of eleven different LCO gas oils was obtained by the application of the molecular reconstruction method. The hydrotreating simulations of three LCO gas oils at different operating conditions showed a good agreement with the experimental data obtained at laboratory scale. The current stochastic procedure has demonstrated to be a valid tool for the reconstruction of the composition of LCO gas oils and the simulation of the hydrotreating process

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“…Major DBTs were identified, among about 100 detected. A detailed identification and quantitative analysis of alkylbenzothiophenes (alkyl-BT) and alkyldibenzothiophenes (alkyl-DBT) in gas oils by GC-SCD as well as GC-MS were successfully carried out by Lopez Garcia et al [57]. This powerful technique, as demonstrated by the GC profile of a light cycle oil shown in Fig.…”

Section: Characterization Of Sulfur In Heavy Petroleum Fractions and mentioning

confidence: 99%

“…GC-SCD analysis of a light cycle oil: DBT, C1-DBT, and C2-DBT profiles. Reprinted with permission from [57].…”

Section: Characterization Of Sulfur In Heavy Petroleum Fractions and mentioning

confidence: 99%

Unique selective detectors for gas chromatography: Nitrogen and sulfur chemiluminescence detectors

Yan¹

2006

J of Separation Science

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ReviewUnique selective detectors for gas chromatography: Nitrogen and sulfur chemiluminescence detectors Many of present day's complex analyses and challenging analytical tasks demand highly selective detection techniques for GC. Universal nitrogen/sulfur chemiluminescence detection is one of the most powerful analytical tools for gas chromatographic analysis. Its strength stems from the unique and beneficial characteristics of high selectivity, sensitivity, and equimolarity. The nitrogen/sulfur chemiluminescence detection technology has provided analytical solutions unsurpassed by any other techniques to a broad range of applications in petroleum characterization, food/beverage flavor analysis, and environmental monitoring. This paper presents a general review of this unique technology, including a brief description of operating principles, an overview of detector performance, practical discussions on instrument operation, and a sizable list of applications.

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Analysis of Aromatic Sulfur Compounds in Gas Oils Using GC with Sulfur Chemiluminescence Detection and High-Resolution MS

Cited by 67 publications

References 17 publications

Extended characterization of petroleum aromatics using off-line LC-GC-MS

Extended characterization of petroleum aromatics using off-line LC-GC-MS

Application of Monte Carlo techniques to LCO gas oil hydrotreating: Molecular reconstruction and kinetic modelling

Unique selective detectors for gas chromatography: Nitrogen and sulfur chemiluminescence detectors

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