Journal of Analytical & Bioanalytical Techniques
Open Access

Research Article

GC-MS Fingerprinting of Fatty Acids of Freshwater Mollusc Lamellidens Marginalis using Different Columns, TR-Waxms and TR-FAME

Arabinda Mahanty¹, Smriti Ranjan Maji², Satabdi Ganguly¹ and Bimal Prasanna Mohanty^1*

¹ICAR - Central Inland Fisheries Research Institute, Fishery Resource and Environmental Management Division, Barrackpore, Kolkata, India

²Bose Institute (Centenary Building), Central Instrument Facility (P. D. Lab), P 1/12 C.I.T, Scheme VIIM, Kolkata, India

*Corresponding Author:

Bimal Prasanna Mohanty
ICAR - Central Inland Fisheries Research Institute
Fishery Resource and Environmental Management Division
Barrackpore, Kolkata, India
Tel: +919230618153
E-mail: bimalmohanty12@rediffmail.com

Received Date: February 10, 2015; Accepted Date: April 06, 2015; Published Date: April 09, 2015

Citation: Mahanty A, Ranjan Maji S, Ganguly S, Mohanty BP (2015) GC-MS Fingerprinting of Fatty Acids of Freshwater Mollusc Lamellidens Marginalis using Different Columns, TR-Waxms and TR-FAME. J Anal Bioanal Tech 6:238. doi: 10.4172/2155-9872.1000238

Copyright: ©2015 Mahanty A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

GC-MS is an important instrument in lipid profiling and lipid biomarker identification. The choice of columns and detectors is important in analysis and identification of the biomolecules. In the present study, GC-MS fingerprinting of fatty acids (FAs) in different tissues of freshwater mollusc Lamellidens marginalis was carried out in GC-MS with two different columns, TR-FAME and TR-WaxMS, to examine if choice of columns and detectors influence the identifications of the lipids. These sentinel organisms are used in aquatic pollution monitoring studies as they accumulate toxic environmental contaminants to levels well above those present in the surrounding environment thus providing information on the spatio-temporal pollution trends. FAs identified in different tissues include the saturated FAs palmitic acid (C16:0), margaric acid (C17:0), stearic acid (C18:0), monounsaturated FAs (MUFAs) oleic acid (C18:1), eicosenoic acid (C20:1) and polyunsaturated fatty acid (PUFAs) linoleic acid (C18:2). More numbers of FAs were detected in TR-FAME column than TR-WaxMS column. Several non-fatty acid compounds like butylated hydroxyl toluene (BHT) and dibutyl phthalate were also identified in the FAME (fatty acid methyl ester) preparation using NIST (MS) library. It was interesting to note that the FA peaks (6/14) were outnumbered by the non-fatty acid peaks (8/14). Such compounds could be taken as unidentified FAs unless powerful detectors like MS are available and can lead to erroneous inferences. The study showed that the choice of columns and detectors influenced the identification of the compounds. The information generated on fatty acid profiles of this bivalve could serve as baseline data for this species in searching for lipid biomarkers for aquatic pollution monitoring studies.

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