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Rapid profiling of animal-derived fatty acids using fast GC x GC coupled to time-of-flight mass spectrometry


Citation

Chin, Sung-Tong and Yaakob, Che Man and Tan, Chin Ping and Mat Hashim, Dzulkifly (2009) Rapid profiling of animal-derived fatty acids using fast GC x GC coupled to time-of-flight mass spectrometry. Journal of the American Oil Chemists' Society, 86 (10). pp. 949-958. ISSN 0003-021X

Abstract

Rapid profiling of fatty acid methyl esters (FAME) from five different animal sources was examined in this study using fast comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (fast GC x GC-TOFMS). The result showed that GC x GC analysis combining two different microbore columns (SLB-5 ms, 10 m x 0.10 mm x 0.10 μm and DBWax, 0.5 m x 0.10 mm x 0.10 μm) allowed three-fold faster analysis times than those observed for conventional GC x GC analysis. The modulation ratio (M R) of the system was defined at the value of 2.38 by optimizing the modulation period and offset temperature for precise mass spectral identification and highest effluent resolution in the analysis. In accordance with the normalized FAME level obtained from various animal fats, namely lard (LA), chicken fat (CF), beef tallow (BF), mutton tallow (MF) and cod liver oil (CLO), a clear discrimination of LA from the other species by principal components analysis (PCA) was observed. This was attributed to several FAME constituents involving methyl 6,9,12,15-heneicosatetraenoate (C21:4n-6), methyl 11,14-eicosadienoate (C20:2n-6), trans-9,12-methyl octadecadienoate (C18:2n-6t), trans-9-methyl octadecenoate (C18:1n-9t) and methyl hexadecanoate (C16:0).


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Additional Metadata

Item Type: Article
Subject: Fatty acids.
Subject: Fatty acids - Analysis.
Divisions: Faculty of Food Science and Technology
Publisher: Springer Verlag
Keywords: GC X GC; TOFMS; Fast GC; FAME; PCA; Animal fats; Lards.
Depositing User: Khairil Ridzuan Khahirullah
Date Deposited: 14 Nov 2012 08:43
Last Modified: 23 Nov 2015 02:40
URI: http://psasir.upm.edu.my/id/eprint/16430
Statistic Details: View Download Statistic

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