2015
DOI: 10.1021/acs.energyfuels.5b00095
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Oxidative Desulfurization Process Monitoring Using Comprehensive Two-Dimensional Gas Chromatography and Fourier Transform Ion Cyclotron Resonance Mass Spectrometry

Abstract: Clean fuel legislation throughout the world is driving the demand for ultralow-sulfur (<10 ppm) diesel (ULSD) fuel. Even though hydrodesulfurization remains the preferred technology to produce ULSD, the high associated costs lead to an increased interest in alternative processes, such as oxidative desulfurization (ODS). Monitoring the reacting species throughout the process is helpful for developing and/or optimizing ODS processes, although this has been difficult in real samples (complex mixtures). In this st… Show more

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Cited by 21 publications
(11 citation statements)
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“…A detailed quantitative characterization of both feeds (gas oils processed by hydrotreatment) and effluents (gas oils obtained after hydrotreatment) would be helpful to help understanding these mechanisms and thus improving the overall efficiency of hydrotreatment [20,21]. Some pseudoquantitative approaches for petroleum matrices have already been reported in the literature using mainly GC×GC analysis to evaluate the potential of FT-ICR MS as a pseudo-quantitative tool but mainly for sulfur compounds and without considering both basic and neutral nitrogen compounds [22][23][24]. Besides, these studies are based on a small number of gas oils which is not sufficient to identify a possible matrix effect from the gas oils and they did not consider simultaneously the impact of the other ionized families over the ionization response of a given family.…”
Section: Introductionmentioning
confidence: 99%
“…A detailed quantitative characterization of both feeds (gas oils processed by hydrotreatment) and effluents (gas oils obtained after hydrotreatment) would be helpful to help understanding these mechanisms and thus improving the overall efficiency of hydrotreatment [20,21]. Some pseudoquantitative approaches for petroleum matrices have already been reported in the literature using mainly GC×GC analysis to evaluate the potential of FT-ICR MS as a pseudo-quantitative tool but mainly for sulfur compounds and without considering both basic and neutral nitrogen compounds [22][23][24]. Besides, these studies are based on a small number of gas oils which is not sufficient to identify a possible matrix effect from the gas oils and they did not consider simultaneously the impact of the other ionized families over the ionization response of a given family.…”
Section: Introductionmentioning
confidence: 99%
“…Some pseudo-quantitative approaches for petroleum matrices have already been reported in the literature using mainly GC × GC analysis to evaluate the potential of FT-ICR MS as a pseudo-quantitative tool but mainly for sulfur compounds and without considering both basic and neutral nitrogen compounds 22 24 . Besides, these studies are based on a small number of gas oils which is not sufficient to identify a possible matrix effect from the gas oils and they did not consider simultaneously the impact of the other ionized families over the ionization response of a given family.…”
Section: Introductionmentioning
confidence: 99%
“…A mass spectrometer can be identified by three major components: an ion source (that produced gaseous ions from the substance being studied), a mass analyzer (which resolves the ion into their characteristics mass components according to their mass-to-charge ratio) and a detector (for the detection of ions and recording the relative abundance of each of the resolved ionic species) [5]. The introduction of "soft" ionization techniques, such as electrospray ionization (ESI) by Fenn et al [6] and matrix-assisted laser desorption ionization (MALDI) by Karas et al MSI allows for rapid detection, localization and identification of a tremendous amount of molecules from the most complex biological samples.…”
Section: Mass Spectrometry (Ms) and Mass Spectrometry Imaging (Msi)mentioning
confidence: 99%
“…FDA, May 2001). All the parameters were validated considering the coefficient of variation (CV) of the ratio between the intensity of a certain analyte (A) and an internal standard (IS) over a variable number of repetitions (3-5) during several days (3)(4)(5). The methods were validated in terms of limit of detection, limit of quantification, precision, reproducibility, linearity, accuracy, recovery and selectivity.…”
Section: Validationmentioning
confidence: 99%
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