Sulfur-containing species in the extraction residue from Xianfeng lignite characterized by X-ray photoelectron spectrometry and electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry

Liu, Fang-Jing; Wei, Xian-Yong; Wang, Yu-Gao; Li, Peng; Li, Zhan-Ku; Zong, Zhi-Min

doi:10.1039/c4ra12435a

Cited by 31 publications

(16 citation statements)

References 48 publications

(53 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The optimized mass for the quadrupole (Q1) is 150 u. An argon-filled hexapole collision pool was operated at 5 MHz and 700 Vp-p of radio frequency amplitude, in which ions accumulated for 0.2 s. The data size was set at 4 M. A total of 64 scans were collected to enhance the signal/noise ratio [33,34]. The FT-ICR MS was calibrated using a known nitrogen-containing species homologous series.…”

Section: Analysis With Ft-icr Ms and Data Processingmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of extractable basic nitrogen compounds in Buliangou subbituminous coal by positive-ion ESI FT-ICR MS

Kong

Wei

Yan

et al. 2015

Fuel

Self Cite

View full text Add to dashboard Cite

Section: Analysis With Ft-icr Ms and Data Processingmentioning

confidence: 99%

“…Bruker software Data Analysis was used for peak detection and molecular formula assignment. Detailed data processing was performed according to the recent investigations [29,[33][34][35][36]. The number of N atom in each molecular formula was limited up to 3 when mass peaks were assigned.…”

Section: Analysis With Ft-icr Ms and Data Processingmentioning

confidence: 99%

Analysis of extractable basic nitrogen compounds in Buliangou subbituminous coal by positive-ion ESI FT-ICR MS

Kong

Wei

Yan

et al. 2015

Fuel

Self Cite

View full text Add to dashboard Cite

“…Moreover, the majority of compounds from the ON class are in group 2, because acetone is a perfect solvent to dissolve NCCs . Data 17 contains significantly more compounds from the OS class due to the solubility of IMCDSAMS to SCCs …”

Section: Resultsmentioning

confidence: 99%

Insight into molecular information of Huolinguole lignite obtained by Fourier transform ion cyclotron resonance mass spectrometry and statistical methods

Fan

et al. 2019

Rapid Comm Mass Spectrometry

View full text Add to dashboard Cite

Rationale: Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) was applied to the characterization of organic compounds in coal extracts at the molecular level. Large volumes of data obtained by FT-ICR MS were processed via statistical methods to extract valuable information on the molecular structures and compositions of organic compounds in coal. Methods:A low-rank coal was subjected to ultrasonic extraction sequentially with six solvents to separate and enrich species with different molecular characteristics.Complex mass spectra of the six extracts were obtained by a FT-ICR MS system equipped with two ionization sources. Two multivariate statistical methods, hierarchical clustering analysis (HCA) and principle component analysis (PCA), were introduced to mine useful information from the complex MS data and visually exhibit comprehensive molecular details in coal extracts.Results: Similarities and differences between the 17 MS data sets from six coal extracts ionized by different ion sources were visually exhibited in plots via data processing using HCA and PCA. For HCA, all of the identified compounds were divided into seven classes (CH, O, N, S, ON, OS, and NS), and detailed differences in the relative abundance were revealed. In addition, PCA discriminated the differences in molecular composition for organic compounds from the six extracts. Conclusions:Multivariate statistical analysis is a promising methodology which can interpret the chemical composition of coals and coal derivatives at the molecular level, especially for the analysis of multiple complex samples presenting in a single plot.

show abstract

“…Then DBE value distributions of the S 1 O o class species in the pyridine extract as well as the hexane extract and its insoluble portion were discussed (Wu, Rodgers, & Marshall, ). As Figure shows, SCCs including the S 1 , S 2 , S 1 O o (o = 1–5), S 2 O o (o = 1–5), and N 3 S 1 class species were revealed in the E 1 ‐E 4 from methanolysis of modified Xianfeng lignite using negative‐ion ESI FT‐ICR MS (Liu et al, ). Interestingly, the S 1 and S 1 O o classes exist mainly in E 1 ‐E 3 , while SCCs in E 4 are dominated by the S 2 and S 2 O o class species along with a small amount of SCCs containing one S atom.…”

Section: Class Chemicals Revealed By Ft‐icr Ms In Cdlsmentioning

confidence: 99%

“…Distributions of SCCs in the E 1 ‐E 4 from methanolysis of modified Xianfeng lignite by negative‐ion ESI FT‐ICR MS analysis (Liu et al, ).…”

Section: Class Chemicals Revealed By Ft‐icr Ms In Cdlsmentioning

confidence: 99%

Application of mass spectrometry in the characterization of chemicals in coal‐derived liquids

Liu

Fan

Wei

et al. 2016

Mass Spectrometry Reviews

Self Cite

View full text Add to dashboard Cite

Coal-derived liquids (CDLs) are primarily generated from pyrolysis, carbonization, gasification, direct liquefaction, low-temperature extraction, thermal dissolution, and mild oxidation. CDLs are important feedstocks for producing value-added chemicals and clean liquid fuels as well as high performance carbon materials. Accordingly, the compositional characterization of chemicals in CDLs at the molecular level with advanced analytical techniques is significant for the efficient utilization of CDLs. Although reviews on advancements have been rarely reported, great progress has been achieved in this area by using gas chromatography/mass spectrometry (GC/MS), two-dimensional GC-time of flight mass spectrometry (GC × GC-TOFMS), and Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). This review focuses on characterizing hydrocarbon, oxygen-containing, nitrogen-containing, sulfur-containing, and halogen-containing chemicals in various CDLs with these three mass spectrometry techniques. Small molecular (< 500 u), volatile and semi-volatile, and less polar chemicals in CDLs have been identified with GC/MS and GC × GC-TOFMS. By equipped with two-dimensional GC, GC × GC-TOFMS can achieve a clearly chromatographic separation of complex chemicals in CDLs without prior fractionation, and thus can overcome the disadvantages of co-elution and serious peak overlap in GC/MS analysis, providing much more compositional information. With ultrahigh resolving power and mass accuracy, FT-ICR MS reveals a huge number of compositionally distinct compounds assigned to various chemical classes in CDLs. It shows excellent performance in resolving and characterizing higher-molecular, less volatile, and polar chemicals that cannot be detected by GC/MS and GC × GC-TOFMS. The application of GC × GC-TOFMS and FT-ICR MS to chemical characterization of CDLs is not as prevalent as that of petroleum and largely remains to be developed in many respects. © 2016 Wiley Periodicals, Inc. Mass Spec Rev 36:543-579, 2017.

show abstract

Sulfur-containing species in the extraction residue from Xianfeng lignite characterized by X-ray photoelectron spectrometry and electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry

Abstract: Detailed composition of sulfur-containing species in the extraction residue from Xianfeng lignite was characterized by XPS and ESI FT-ICR MS.

Cited by 31 publications

References 48 publications

Analysis of extractable basic nitrogen compounds in Buliangou subbituminous coal by positive-ion ESI FT-ICR MS

Analysis of extractable basic nitrogen compounds in Buliangou subbituminous coal by positive-ion ESI FT-ICR MS

Insight into molecular information of Huolinguole lignite obtained by Fourier transform ion cyclotron resonance mass spectrometry and statistical methods

Application of mass spectrometry in the characterization of chemicals in coal‐derived liquids

Contact Info

Product

Resources

About