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BioMed Research International
Volume 2018 (2018), Article ID 9016840, 7 pages
Research Article

Regiospecific Analysis of Fatty Acids and Calculation of Triglyceride Molecular Species in Marine Fish Oils

1Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, National Engineering Research Center for Functional Food, State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, 1800 Lihu Avenue, Wuxi, Jiangsu 214122, China
2Department of Food Science and Engineering, School of Science and Engineering, Jinan University, Guangzhou, Guangdong 510632, China
3School of Food Science and Technology, Jiangsu Food & Pharmaceutical Science College, 4 Meicheng Road, Huai’an, Jiangsu 223003, China
4Yunnan Institute of Food Safety, Kunming University of Science and Technology, Kunming, Yunnan Province, China

Correspondence should be addressed to Xingguo Wang

Received 30 August 2017; Accepted 29 November 2017; Published 29 January 2018

Academic Editor: Terry K. Smith

Copyright © 2018 Huijun Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The regiospecific distribution of fatty acids (FAs) and composition of triglyceride (TAG) molecular species of fishes were analyzed and calculated by pancreatic lipase (PL) hydrolysis and Visual Basic (VB) program. DHA was preferentially located at sn-2 position in TAG molecule, whereas EPA was almost equally distributed in each position of glycerol backbone. DOP, DPP, EPP, PoPP, PPO, and PPP were the predominant TAG species. MPP in anchovy, DDP, DOP, DPP in tuna, and EOO and OOO in salmon were the characteristic TAG molecules, which were meaningful to differentiate marine fish oils. Furthermore, the data management, according to TCN and ECN, was firstly applied to classify the TAG molecular species. The ECN42, ECN46, and ECN48 groups were rich in TAGs. The lower ECN values, compared to the higher TCN values, indicated that the most abundant TAGs exhibited a higher unsaturated degree. Therefore, our study not only offered a simple and feasible approach for the analysis of TAG composition but also firstly summarized the information by data management within ECN and TCN.