Profiling of Wavelength Biomarkers of Pure Meat Samples from Different Species Based on Fourier Transform Infrared Spectroscopy (FTIR) and PCA Techniques

Irwan Saputra, Irwandi Jaswir, Rini Akmeliawati

Abstract


Infrared spectroscopy (IR) has been known as an analytical method suitable for authenticity studies.  In particular, Fourier transform infrared (FTIR) spectroscopy can be used for qualitative and quantitative purposes. The main advantages of FTIR are high sensitivity, high energy throughput and excellent speed of spectral acquisition. Combined with computer and advanced chemometric software, FTIR can easily be used to manipulate spectral information.  Biomarkers such as DNA/RNA, proteins, metabolites, or a combination of profiles of several of these molecules are indicators that may be used to rapidly and easily detect the status and phase of biological processes. Thus biomarkers provide information about the status and phase of biological processes and their underlying particular traits. This study aims to investigate pig wavelength biomarkers against other pure samples of different types of meat based on Fourier Transform Infrared Spectroscopy (FTIR) and PCA techniques. Fat from four different animal meats (pig,chicken,beef, and lamb) were processed under different extraction conditions prior to FTIR and PCA analysis. Palm oil was used as control. Sixteen wavelenghts in accordance to type of fat and processing method were identified as spectral markers to differentiate pig, beef, lamb, and chicken fats, and palm oil. The spectral biomarkers identifying pig and chicken fats were quite similar, complicating the identification of samples containing said fats.       The biomarker wavelengths identified from the spectra of the four fats and  palm oil at position 1236 and 3007 cm-1 separated the four animal fats and palm oil at notable distances, indicating that these wavelength could be used to identify non-halal samples.

Keywords


pig; biomarker; halal; FTIR; PCA; authentication; fat.

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References


A. Brangule, I. Skadiņš, A. Reinis, K.A. Gross, J. KroÄa, “In Vitro characterization perspectives using Fourier Transform Infrared Photoacoustic Spectroscopy (FTIR PAS) and Diffuse Reflectance Infrared Spectroscopy (DRIFT),†Key Engineering Materials, vol. 758, pp. 273-277, 2017.

C. Cordella, I. Moussa, A.C. Martel, N. Sbirrazzuoli, L.L. Cuvelier, “Recent developments in food characterization and adulteration detection:technique-oriented perspectives,†Journal of Agricultural and Food Chemistry, vol.50, pp. 1751 – 176, 2002.

C.B.Y. Cordella, “PCA: The Basic Building Block of Chemometrics.†http://dx.doi.org/10.5772/51429. 2012

C. Constantin, “Principal Component Analysis – A Powerful Tool in Computing Marketing Information,†Bulletin of the Transilvania University of Braşov Series V: Economic Sciences, vol. 7, no.56, 2014.

G. Downey, “Food and food ingredient authentication by mid-infrared spectroscopy and chemometrics,†Trends in analytical chemistry, vol. 17, pp. 418-424,1998.

R. Goodacre, E. Anklam, “Fourier Transform Infrared Spectroscopy and chemometrics as a tool for the rapid detection of other vegetable fats mixed in cocoa butter,†Journal of the American Oil Chemists Society, vol.10, pp. 993–1000, 2001.

I.T. Jolliffe, J. Cadima, “Principal component analysis: a review and recent developments,†2016.

B. Kowalski., “Sub-ambient differential scanning calorimetry of lard and lard contaminated by tallow.,†International Journal of Food Science and Technology, vol.24, pp. 415–420, 1989.

D.L. Pavia, G.M. Lampman, G.S. Kriz-jr., Introduction to Spectroscopy: A Guide for Students of Organic Chemistry, 3th Edition, Thomson Learning Inc., London. 2001

L.M. Reid, C.P. O’Donnell, G. Downey, “Recent technological advances for the determination of food authenticity,†Trends in Food Science and Technology, vol.17, pp.344–353, 2006.

A. Rohman, Y.B. Che Man, “FTIR spectroscopy combined with chemometrics for analysis of lard in the mixtures with body fats of lamb, cow, and chicken,†J. Food Lipids, vol.16, pp.618–628, 2009.

J. Xing, M. Ngadi, A. Gunenc, S. Prasher, C. Gariepy, “Use of visible spectroscopy for quality classification of intact pork meat,†Journal of Food Engineering, vol. 8, pp. 35–141, 2007.




DOI: http://dx.doi.org/10.18517/ijaseit.8.4-2.7039

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