Research Article
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Year 2020, , 70 - 89, 15.03.2020
https://doi.org/10.31015/jaefs.2020.9

Abstract

References

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Fatty acid profiling in animal feeds and related food matrixes using a fast GC/MS method and in situ derivatization

Year 2020, , 70 - 89, 15.03.2020
https://doi.org/10.31015/jaefs.2020.9

Abstract

Fatty acid determination is used for the characterization of the lipid fraction in foods, providing essential information regarding feed and food quality. Most edible fats and oils are composed primarily of linear saturated fatty acids, branched, mono-unsaturated, di-unsaturated, and higher unsaturated fatty acids. To attain this information we developed a gas chromatography (GC) method that can separate fatty acids from C4 to C24 using mass spectrometry identification. A simplified sample preparation procedure was applied so it is not time-consuming and short enough to avoid fat degradation. Additionally, one-step derivatization was applied to obtained fatty acid methyl esters in situ in the gas chromatograph injection port, using tetramethylammonium hydroxide and a high polarity polyethylene glycol-based cross-linked microbore chromatographic column was coupled to achieve the separation of 60 compounds in under 15 minutes with extreme sensibility. The versatility of the method allows fatty acid profile (including saturated [SFA], monounsaturated [MUFA], and polyunsaturated fatty acids [PUFA]) information to be gathered in different products of primary production i. raw materials commonly used in the production of animal feed, ii. profiles for balanced feed for laying hens, beef cattle and dairy cattle and iii. products of animal origin intended for human consumption, such as meat, eggs, and milk. Our data (performance parameters and fatty acid profiles) support the validity of the results; the method can be used for quality assurance both in productive species feed and feed ingredients, pet food, and related food matrices. The technique presented herein can be used as a high-throughput routine screening tool to assess fat quality as this data is paramount to improve animal nutrition and health and animal-derived products of human consumption.  

References

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  • 15. Cherian, G. (2017). Supplemental Flax and Impact on n3 and n6 Polyunsatured Fatty Acids in Eggs. In: Eggs Innovation and Strategies for Improvements, Chapter 34. Elsevier Inc. pp 365-372. https://doi.org/10.1016/B978-0-12-800879-9.00034-2
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  • 17. Choe, E., Oh, S. (2013). Effects of water activity on the lipid oxidation and antioxidants of Dried Laver (Porphyra) during storage in the dark. J Food Sci 78:1144 – 1151. https://doi.org/10.1111/1750-3841.12197
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  • 20. de Blass, C., Mateos, G.G., García-Rebollar, P. (2010). Tablas FEDNA de composición y valor nutritivo de alimentos para la fabricación de piensos compuestos. Fundación Española para el Desarrollo de la Nutrición Animal. Madrid pp 502.
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  • 22. Duarte, A.C., Holman, D.B., Alexander, T.W., Durmic, Z., Vercoe, P.E., Chaves, A.V. (2017). The Type of Forage Substrate Preparation Included as Substrate in a RUSITEC System Affects the Ruminal Microbiota and Fermetation Characteristics. Frontiers in Microbiology 8:1-11. https://doi.org/10.3389/fmicb.2017.00704
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  • 26. FEDNA. (2008). Necesidades nutricionales para avicultura: pollos de carne y aves de puesta. http://www.vet.unicen.edu.ar/ActividadesCurriculares/AlimentosAlimentacion/images/NORMAS_AVES_2008.pdf [Access date: 01.08.2018].
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  • 29. Givens, D.I. (2015). Manipulation of lipids in animal-derived foods: Can it contribute to public health nutrition? Eur J Lipid Sci Technol 117:1306-1316. https://doi.org/10.1002/ejlt.201400427
  • 30. Glasser, F., Doreau, M., Maxin, G., Baumont, R. (2013). Fat and fatty acid content and composition of forages: a meta-analysis. Anim Feed Sci Technol 185:19–34. https://doi.org/10.1016/j.anifeedsci.2013.06.010
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Details

Primary Language English
Subjects Food Engineering, Agricultural Engineering
Journal Section Research Articles
Authors

Astrid Leiva 0000-0001-7466-8773

Fabio Granados-chinchilla 0000-0003-4828-3727

Publication Date March 15, 2020
Submission Date April 20, 2019
Acceptance Date February 21, 2020
Published in Issue Year 2020

Cite

APA Leiva, A., & Granados-chinchilla, F. (2020). Fatty acid profiling in animal feeds and related food matrixes using a fast GC/MS method and in situ derivatization. International Journal of Agriculture Environment and Food Sciences, 4(1), 70-89. https://doi.org/10.31015/jaefs.2020.9

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