4.7 Article

Diacylglycerols ions as novel marker indicators for the classification of edible oils using ultrahigh resolution mass spectrometry

Journal

FOOD RESEARCH INTERNATIONAL
Volume 145, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.foodres.2021.110422

Keywords

Ultrahigh resolution mass spectrometry; Edible oil; Diacylglycerols ions; Classification; Fingerprints; Gutter oils

Funding

  1. Special Fund of Chinese Central Government for Basic Scientific Research Operations in Commonweal Research Institutes [2014JB004, 2013JBYY003]
  2. National Natural Science Foundation of China [21874153]
  3. Science Foundation of China University of Petroleum, Beijing [2462017BJB09]

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Utilizing DAGs ions as marker indicators for edible oil classification through UHRMS technology was proven to be more effective than using TAGs ions in chemometric analyses. This method can also be applied for the characterization of blend oils and gutter oils.
Diacylglycerols (DAGs) ions, instead of triacylglycerols (TAGs) ions, were established as marker indicators for an improved classification of edible oils using ultrahigh resolution mass spectrometry (UHRMS). DAGs ions can be used not only to identify triacylglycerols (TAGs) and their embedded fatty acids (FAs), but also to distinguish positional isomers of TAGs. In this work, DAGs ions were determined in edible oils by direct infusion atmospheric pressure chemical ionization-ultrahigh resolution mass spectrometry (APCI-UHRMS), where the ultrahigh resolving power up to 500,000 FWHM (full width at half maximum) can provide accurate molecular compositions and detailed fingerprints MS spectra in a minute. A total of 146 samples belonging to 22 species of plant oils and animal fats, were characterized. Chemometric analyses were performed using principal component analysis, partial least square-discriminant analysis and orthogonal partial least squares-discriminant analysis. DAGs ions were proved to be better than TAGs ions as marker indicators in the chemometric analyses. An overall correct rate of 93.40% was achieved for the classification of tested samples. In addition, blend oils and gutter oils were also characterized by this developed method.

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