Study on FT-MIR spectra of ghee (anhydrous milk fat)
Abstract
Purpose
Ghee, anhydrous milk fat, is chemically highly complex in nature. The authentication and characterization of edible fats and oils by routine chemical methods are highly laborious and time consuming. Fourier transform-mid-infrared (FT-MIR) spectroscopy has emerged as a predominant analytical tool in the study of edible fats/oils. However, sufficient attention has not been paid so far to spectral characterization of milk fat obtained from cow and buffalo milk. The purpose of this paper is to fill this void.
Design/methodology/approach
Ghee samples were prepared from cow and buffalo milk by the direct cream method. From each type of milk (cow and buffalo), 35 samples of ghee were prepared; thus, in total, 70 samples of ghee were obtained for the study. For assigning absorption bands in the IR spectrum, spectra of cow and buffalo ghee samples were acquired in the MIR region (4,000-650 cm−1).
Findings
In FT-MIR spectra of ghee, 14 peaks were obtained at different positions and with varying intensities. They were at 3,005, 2,922, 2,853, 1,744, 1,466, 1,418, 1,377, 1,236, 1,161, 1,114, 1,098, 966, 870 and 721 cm−1 for cow and buffalo ghee with almost equal intensity of absorption.
Practical implications
The finding of this study will be useful for characterization and authentication of ghee.
Originality/value
Application of IR spectral bands of ghee in the MIR region using a FT-infrared spectrometer to monitor the quality of ghee is suggested.
Keywords
Acknowledgements
The views expressed in this paper are those of the author and do not necessarily represent the views of, and should not be attributed to, Kaira District Co-operative Milk Producers’ Union (Amul Dairy), Gujarat, India.
Citation
Antony, B., Sharma, S., Mehta, B.M., Ratnam, K. and Aparnathi, K.D. (2017), "Study on FT-MIR spectra of ghee (anhydrous milk fat)", British Food Journal, Vol. 119 No. 1, pp. 181-189. https://doi.org/10.1108/BFJ-06-2016-0276
Publisher
:Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited