Free Fatty Acid Assessment of Crude Palm Oil Using a Non-Destructive Approach
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Free Fatty Acid Assessment of Crude Palm Oil Using a Non-Destructive Approach

Authors: Siti Nurhidayah Naqiah Abdull Rani, Herlina Abdul Rahim, Rashidah Ghazali, Noramli Abdul Razak

Abstract:

Near infrared (NIR) spectroscopy has always been of great interest in the food and agriculture industries. The development of prediction models has facilitated the estimation process in recent years. In this study, 110 crude palm oil (CPO) samples were used to build a free fatty acid (FFA) prediction model. 60% of the collected data were used for training purposes and the remaining 40% used for testing. The visible peaks on the NIR spectrum were at 1725 nm and 1760 nm, indicating the existence of the first overtone of C-H bands. Principal component regression (PCR) was applied to the data in order to build this mathematical prediction model. The optimal number of principal components was 10. The results showed R2=0.7147 for the training set and R2=0.6404 for the testing set.

Keywords: Palm oil, fatty acid, NIRS, regression.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1337920

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References:


[1] K. Brodersen, “Exploration of the Use of NIR Reflectance Spectroscopy to Distinguish and Measure Attributes of Conditioned and Cooked Shrimp (Pandalus borealis),” Technol, vol. 34, pp. 533-541. 2001.
[2] K.S. Chia andH. Abdul Rahim, “Neural Network and principal component regression in non-destructive soluble solids content assessment : a comparison,” Biomed & Biotechnol, vol. 13, pp. 145-151. 2012.
[3] Y.B. Che Man and M.H. Moh , “ Determination of Free Fatty Acids in Palm Oil by Near-Infrared Reflectance Spectroscopy,” Journal of the America Oil Chemists’ Society (JAOCS), vol. 75. pp. 557 – 562. 1998.
[4] O.M.B. Saeed, S. Sankaran, A.R. Mohamed Shariff, H.Z. Mohd Shafri, R. Ehsani, M. Salem Alfatni and M.H. Mohd Hazir, “Classification of oil palm fresh fruit bunches based on their maturity using portable fourband sensor system,” Computers and Electronics in Agriculture, vol. 82, pp. 55-60.2012.
[5] Q. Yuan, W. Hanselmann and R.C. Anantheswaran, “Moisture and sucrose transfer in fractionated palm kernel (PKO) based films immersed in liquid solutions” Journal of Food and Engineering, vol. 108, pp. 13-21, 2012.
[6] T. Atinmo, “Palm Fruit in Traditional African Food Culture,” Asia Pasific J Clin Nutr, vol. 12, pp. 350-354. 2003.
[7] K. Sundram, R. Sambanthamurthi and Y.-A. Tan, “Palm fruit chemistry and nutrition,” Asia Pacific J Clin Nutr, vol. 12 , pp. 355-356. 2003.
[8] S. Kanagaratnam, M. Enamul Hoque, M. Mat Sahri and A. Spowage, “Investigating the effect of deforming temperature on the oil-binding capacity of palm oil based shortening,” Journal of Food Engineering, vol. 118, pp. 90-99. 2013.
[9] M. Makky andP. Soni, “In situ quality assessment of intact oil palm fresh fruit bunches using rapid portable non-contact and non-destructive approach,”Journal of Food Engineering, vol. 120, pp. 248-259. 2014.
[10] F. Westad, A. Schmidt, and M. Kermit, “Incorporating chemical bandassignment in near infrared spectroscopy regression models,”Journal of Near Infrared Spectroscopy, vol. 16, pp. 265-273. 2008.
[11] J. GordonBellet. al “Substituting fish oil with crude palm oil in the diet of Atlantic salmon (Salmo salar) affects muscle fatty acid composition and hepatic fatty acid metabolism,”The Journal of nutrition, vol. 132, pp. 222-230. 2002.
[12] A. Garrido-Varoet. al, “Near infrared spectroscopy for enforcement of European legislation concerning the use of animal by-products in animal feeds,” Biotechnol. Agron. Soc. Environ., vol. 9, pp. 3-9.2005.
[13] B. Stuart, “Infrared Spectroscopy: Fundamentals and Applications,” John Wiley & Sons., 2004
[14] J. Stuth, A. Jama, D. Tolleson,“Direct and indirect means of predicting forage quality through near infrared reflectance spectroscopy,” Field Crops Research,vol. 84, pp. 45-56. 2003.
[15] M. Oubaha, P. Etienne and S. Calas, “Derived Organic and Inorganic Hybrid Materials for Photonic Applications: Contribution to the Correlation Between the Material Structure and the Transmission in the Near Infrared Region,” Journal of Sol-Gel Science and Technology, vol. 33, pp. 241-248. 2005.
[16] A.A. El-Rahman and H.A.A. Badawy, “Ultraviolet, Visible and Infrared Wavelengths for Determination of Palm Oil Quality,”New Trends in Agricultural Engineering, pp. 777-793. 2006.