Literature DB >> 24658808

Quantitative analysis of long chain fatty acids present in a Type I kerogen using electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry: compared with BF₃/MeOH methylation/GC-FID.

Albert W Kamga, Fancoise Behar, Patrick G Hatcher.   

Abstract

Long chain fatty acids (LCFAs) are present in various natural samples and are easily detectable using electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (ESI-FT-ICR-MS) in negative ion mode. The capability of the ESI-FT-ICR-MS for quantifying LCFAs was evaluated by performing a standard addition followed by an internal standard methodology to several kerogen extracts using n-C₂₀ fatty acid as standard. As the concentration of the standard increased, the magnitude of its peak (m/z 311.29525) increased linearly but with two separate slopes, leaving the entire mass spectra relatively unchanged, which shows evidence of reproducibility. Response factors of other LCFAs are obtained using a standard addition approach. We employed five LCFA standards (n-C₁₅, n-C₁₉, n-C₂₄, n-C₂₆, and n-C₃₀) with different carbon numbers. This allowed us to determine the response factor of all fatty acids (with carbon number between 15 and 30) by plotting the slope of each standard versus its carbon number. With the observed response factors and use of the internal standard, the concentrations of LCFAs in four kerogen extracts were measured by ESI-FT-ICR-MS and compared with those from GC-FID. The carbon number distribution obtained by ESI-FT-ICR-MS matched well the GC-FID distribution (5%–50%) with the exception of C₁₆ and C₁₈, considering that ESI-FT-ICR-MS does not differentiate between normal and branched LCFAs, whereas GC-FID does. This allows one to quantitatively compare samples with a relatively similar matrix for specific compounds such as LCFAs with no need of time-consuming derivatization procedures. Moreover, the calibration can be extended to higher carbon numbers with ESI-FT-ICR-MS, beyond the capabilities of GC/MS.

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Year:  2014        PMID: 24658808     DOI: 10.1007/s13361-014-0851-x

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  8 in total

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Authors:  Hendrik Muller; Frederick M Adam; Saroj K Panda; Hanadi H Al-Jawad; Adnan A Al-Hajji
Journal:  J Am Soc Mass Spectrom       Date:  2012-02-23       Impact factor: 3.109

2.  FT-ICR MS optimization for the analysis of intact proteins.

Authors:  Aleksey V Tolmachev; Errol W Robinson; Si Wu; Ljiljana Paša-Tolić; Richard D Smith
Journal:  Int J Mass Spectrom       Date:  2009-10-15       Impact factor: 1.986

3.  Detailed characterization of polar compounds of residual oil in contaminated soil revealed by Fourier transform ion cyclotron resonance mass spectrometry.

Authors:  Jian Wang; Xu Zhang; Guanghe Li
Journal:  Chemosphere       Date:  2011-07-20       Impact factor: 7.086

4.  Molecular characterization of effluent organic matter identified by ultrahigh resolution mass spectrometry.

Authors:  Michael Gonsior; Matthew Zwartjes; William J Cooper; Weihua Song; Kenneth P Ishida; Linda Y Tseng; Matthew K Jeung; Diego Rosso; Norbert Hertkorn; Philippe Schmitt-Kopplin
Journal:  Water Res       Date:  2011-03-17       Impact factor: 11.236

5.  Reactivity and chemical characterization of effluent organic nitrogen from wastewater treatment plants determined by Fourier transform ion cyclotron resonance mass spectrometry.

Authors:  Rajaa Mesfioui; Nancy G Love; Deborah A Bronk; Margaret R Mulholland; Patrick G Hatcher
Journal:  Water Res       Date:  2011-11-15       Impact factor: 11.236

6.  Urinary metabolic fingerprinting for amiodarone-induced phospholipidosis in rats using FT-ICR MS.

Authors:  Mina Hasegawa; Shigeo Takenaka; Mitsuru Kuwamura; Jyoji Yamate; Shingo Tsuyama
Journal:  Exp Toxicol Pathol       Date:  2007-08-24

7.  Remediation of petroleum-contaminated soil after composting by sequential treatment with Fenton-like oxidation and biodegradation.

Authors:  Mang Lu; Zhongzhi Zhang; Wei Qiao; Xiaofang Wei; Yueming Guan; Qingxia Ma; Yingchun Guan
Journal:  Bioresour Technol       Date:  2009-11-25       Impact factor: 9.642

8.  In vitro antagonism of an actinobacterial Kitasatospora isolate against the plant pathogen Phytophthora citricola as elucidated with ultrahigh resolution mass spectrometry.

Authors:  Felix Haesler; Alexandra Hagn; Moritz Frommberger; Norbert Hertkorn; Philippe Schmitt-Kopplin; Jean Charles Munch; Michael Schloter
Journal:  J Microbiol Methods       Date:  2008-06-05       Impact factor: 2.363

  8 in total
  1 in total

1.  Quantitative non-targeted analysis: Bridging the gap between contaminant discovery and risk characterization.

Authors:  James P McCord; Louis C Groff; Jon R Sobus
Journal:  Environ Int       Date:  2021-12-02       Impact factor: 9.621

  1 in total

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