Literature DB >> 15315364

Characterization of vegetable oils: detailed compositional fingerprints derived from electrospray ionization fourier transform ion cyclotron resonance mass spectrometry.

Zhigang Wu1, Ryan P Rodgers, Alan G Marshall.   

Abstract

Adulteration of vegetable oil is of concern for both commercial and health reasons. Compositional based fingerprints can potentially reveal both the oil source and its possible adulteration. Here, electrospray ionization (ESI) Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) resolves and identifies literally thousands of distinct chemical components of commercial canola, olive, and soybean oils, without extraction or other wet chemical separation pretreatment. In negative-ion ESI FT-ICR MS, the acidic components of soybean oil are easily distinguished from those of canola and olive oil based on relative abundances of C(18) fatty acids, whereas olive oil differs from canola and soybean oil based on relative abundances of tocopherols. In positive-ion ESI FT-ICR MS, the three oils are readily distinguished according to the relative abundances of di- and triacylglycerols with various numbers of double bonds in the fatty acid chains. We demonstrate the detection of soybean oil as an adulterant of olive oil, based on relative abundances of members of each of several chemical families. We suggest that the detailed chemical compositions of vegetable oils can be used to characterize them and to detect and identify adulterants.

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Year:  2004        PMID: 15315364     DOI: 10.1021/jf049596q

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  8 in total

1.  Automated electrospray ionization FT-ICR mass spectrometry for petroleum analysis.

Authors:  Sunghwan Kim; Ryan P Rodgers; Greg T Blakney; Christopher L Hendrickson; Alan G Marshall
Journal:  J Am Soc Mass Spectrom       Date:  2008-10-09       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.  Method for the identification of lipid classes based on referenced Kendrick mass analysis.

Authors:  Larry A Lerno; J Bruce German; Carlito B Lebrilla
Journal:  Anal Chem       Date:  2010-05-15       Impact factor: 6.986

4.  Detection of the abundance of diacylglycerol and triacylglycerol molecular species in cells using neutral loss mass spectrometry.

Authors:  Robert C Murphy; Patrick F James; Andrew M McAnoy; Jessica Krank; Eva Duchoslav; Robert M Barkley
Journal:  Anal Biochem       Date:  2007-03-18       Impact factor: 3.365

5.  The renaissance of high-energy CID for structural elucidation of complex lipids: MALDI-TOF/RTOF-MS of alkali cationized triacylglycerols.

Authors:  Ernst Pittenauer; Günter Allmaier
Journal:  J Am Soc Mass Spectrom       Date:  2009-02-27       Impact factor: 3.109

Review 6.  The role of soy in vegetarian diets.

Authors:  Mark Messina; Virginia Messina
Journal:  Nutrients       Date:  2010-08-06       Impact factor: 5.717

7.  Exploring the Diversity of Cysteine-Rich Natural Product Peptides via MS/MS Fingerprint Ions.

Authors:  Nicole C Parsley; Owen L Williams; Leslie M Hicks
Journal:  J Am Soc Mass Spectrom       Date:  2020-07-30       Impact factor: 3.109

8.  Chemical Diversity and Complexity of Scotch Whisky as Revealed by High-Resolution Mass Spectrometry.

Authors:  Will Kew; Ian Goodall; David Clarke; Dušan Uhrín
Journal:  J Am Soc Mass Spectrom       Date:  2016-10-17       Impact factor: 3.109

  8 in total

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