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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:11, November, 2017

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(11): 1140-1145
DOI: https://doi.org/10.20546/ijcmas.2017.611.136


Identification of Volatile Compound in Coconut Milk Samples Using GC-MS
S. Kokilavani1*, G. Sashidevi2, P. Venilla2 and R. Arun Kumar3
1Food Science and Nutrition, Madurai District, Tamil Nadu, India
2Home Science College and Research Institute, Madurai District, Tamil Nadu, India
3Horticulture, Krishi Vigyan Kendra, Agriculture College and Research Institute, Tamil Nadu Agricultural University, Tamil Nadu, India
*Corresponding author
Abstract:

The present study was carried out to identity the volatile component in coconut milk samples using direct solvent extraction (Hexane), followed by high-vacuum distillation and gas chromatography-mass spectrometry analysis. The samples were extracted ultrasonically followed by shaking at room temperature and kept overnight at room temperature for cold extraction. Six groups of compounds consisting of alcohols, aldehydes, ketones, acids, esters, lactones, and others were identified. The major volatile compound identified in plain coconut milk were tetracontane, 2-Hexanol and the compounds such as Heptadecane, Ethanone, 1-(3-ethyloxiranyl) were identity in flavoured coconut milk. In commercial coconut milk, Pentane, 3-ethyl-2, 4-dimethyl were found to be higher value than other volatile compound.


Keywords: Coconut milk, Coconut milk processing, GC-MS analysis, Chemical component.

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How to cite this article:

Kokilavani, S., G. Sashidevi, P. Venilla and Arun Kumar, R. 2017. Identification of Volatile Compound in Coconut Milk Samples Using GC-MS.Int.J.Curr.Microbiol.App.Sci. 6(11): 1140-1145. doi: https://doi.org/10.20546/ijcmas.2017.611.136
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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