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Analysis of the Changes in Volatile Compound and Fatty Acid Profiles of Fish Oil in Chemical Refining Process
Author(s) -
Song Gongshuai,
Dai Zhiyuan,
Shen Qing,
Peng Xi,
Zhang Mengna
Publication year - 2018
Publication title -
european journal of lipid science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.614
H-Index - 94
eISSN - 1438-9312
pISSN - 1438-7697
DOI - 10.1002/ejlt.201700219
Subject(s) - refining (metallurgy) , chemistry , fish oil , hexanal , nonanal , chromatography , fatty acid , polyunsaturated fatty acid , gas chromatography–mass spectrometry , gas chromatography , food science , mass spectrometry , fish <actinopterygii> , organic chemistry , fishery , biology
In this study, the effect of chemical refining on the volatile compound and fatty acid profiles of crude fish oil is evaluated. The process mainly comprises degumming, deacidification, decoloration, and deodorization. The changes in volatile compounds during the refining process are detected by headspace solid phase micro extraction (HS‐SPME) coupled with gas chromatography‐mass spectrometry (GC‐MS). Meanwhile, the fatty acid profile is determined by GC. The results showed that hexanal, nonanal, undecanal, 2‐nonanone, and 2‐undecanone are the key volatile components of fish oil, and the relative content of each compound changed significantly in each step. The proportion of polyunsaturated fatty acids (PUFAs) in the refined oil increased, while the proportion of saturated fatty acids (SFAs) reduced significantly. This study provides a theoretical basis for the improvement of sensory characteristics of fish oil via chemical refining. Practical Applications : Chemical refining is employed for improving the characteristics of crude fish oil, mainly including the volatile compound and fatty acid compositions. The result demonstrated that the refining process could affect the volatile compound and fatty acid profiles significantly, which provided the theoretical foundation for the optimization of process conditions. An NMR‐based metabolomic approach,using “one‐to‐one” OPLS‐DA models, allows to identify biomarkers of different production zones in “Bosana” Sardinian EVOO.