Citation: LI Wei-Feng, YANG Qiu-Xia, LIN Ze-Peng, WANG Li-Ping, GUO Peng-Ran. Rapid Characterization of Triacylglycerols in Edible Oils by Matrix-assisted Laser Desorption/Ionization Fourier Transform Ion Cyclotron Resonance Mass Spectrometry[J]. Chinese Journal of Analytical Chemistry, ;2018, 46(3): 393-399. doi: 10.11895/j.issn.0253-3820.171281 shu

Rapid Characterization of Triacylglycerols in Edible Oils by Matrix-assisted Laser Desorption/Ionization Fourier Transform Ion Cyclotron Resonance Mass Spectrometry

Guangdong Provincial Key Laboratory of Emergency Test for Dangerous Chemicals, Guangdong Engineering and Technology Research Center for Ambient Mass Spectrometry, Guangdong Institute of Analysis, Guangzhou 510070, China

Received Date: 30 September 2017
Revised Date: 5 January 2018

Fund Project: This work was supported by GDAS' Special Project of Science and Technology Development (No. 2017GDASCX-0104) and the Science and Technology Planning project of Guangdong Province, China (Nos. 2017A070702017, 2015A030401106).

Content and type of triacylglycerols (TAGs) in edible oils are closely related with our health, it is of significance to develop a fast and high-efficiency method for the determination of TAGs. In this manuscript, a fast and direct method for qualitative analysis of TAGs was established using matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry (MALDI-FTICR-MS). 2,5-DHB was employed as matrix and dichloromethanewas used as solvent for dissolving edible oils. With laser power of 15%, laser frequency of 100 Hz and 100 laser shots, repeatability was evaluated using relative standard deviation (RSD) and less than 10% was obtained. Different kinds of edible oils could be directly distinguished from each other using MS and MS/MS results.With confidence level of 95%, principal component analysis (PCA) results show that 34 different kinds of edible oils were clearly classified. Using this method 5% doped canola in olive was identified directly,indicating that MALDI-FTICR-MS has the potential for rapid analyzing and screening edible oils.
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