Application of random forests to select premium quality vegetable oils by their fatty acid composition.

In order to discriminate premium quality from inexpensive edible oils, the fatty acid profiles of tea, rapeseed, corn, sunflower and sesame oil were compared with the ones from extra virgin olive oil (EVOO). Fatty acid methyl esters were quantified by GC/MS. Principal component analysis (PCA) and random forests (RF) were applied to cluster the samples. RF showed a better ability of discrimination and also revealed the contribution of each variable to the clustering model. The multidimensional scaling (MDS) plot of the RF proximity matrix demonstrated that tea oil was similar to EVOO. Meanwhile, it was observed that the total content of cis-monounsaturated fatty acids (79.48%) in tea oil was close to EVOO (80.71%), especially the oleic acid (77.38% and 77.45%, respectively). The results suggest that tea oil might be a good edible oil choice, considering the high oleic acid content and similar fatty acid profiles compared to those of EVOO.

[1]  G. Downey,et al.  Detecting and quantifying sunflower oil adulteration in extra virgin olive oils from the eastern mediterranean by visible and near-infrared spectroscopy. , 2002, Journal of agricultural and food chemistry.

[2]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[3]  Kellie J. Archer,et al.  Empirical characterization of random forest variable importance measures , 2008, Comput. Stat. Data Anal..

[4]  Yunping Yao,et al.  Comparison and analysis of fatty acids, sterols, and tocopherols in eight vegetable oils. , 2011, Journal of agricultural and food chemistry.

[5]  W. Moreda,et al.  Chromatographic analysis of minor constituents in vegetable oils. , 2000, Journal of chromatography. A.

[6]  I. D. Merás,et al.  Characterization of virgin olive oils according to its triglycerides and sterols composition by chemometric methods , 2004 .

[7]  Yang Yang,et al.  Detection and identification of extra virgin olive oil adulteration by GC-MS combined with chemometrics. , 2013, Journal of agricultural and food chemistry.

[8]  Lunzhao Yi,et al.  Plasma fatty acid metabolic profile coupled with uncorrelated linear discriminant analysis to diagnose and biomarker screening of type 2 diabetes and type 2 diabetic coronary heart diseases , 2008, Metabolomics.

[9]  A. Naska,et al.  Mediterranean diet in relation to body mass index and waist-to-hip ratio: the Greek European Prospective Investigation into Cancer and Nutrition Study. , 2005, The American journal of clinical nutrition.

[10]  B. Villegas,et al.  Prediction of the identity of fats and oils by their fatty acid, triacylglycerol and volatile compositions using PLS-DA , 2010 .

[11]  Mario Chica-Olmo,et al.  An assessment of the effectiveness of a random forest classifier for land-cover classification , 2012 .

[12]  A. Rohman,et al.  Quantification and Classification of Corn and Sunflower Oils as Adulterants in Olive Oil Using Chemometrics and FTIR Spectra , 2012 .

[13]  B. Sumpio,et al.  Olive oil, the mediterranean diet, and cardiovascular health. , 2008, Journal of the American College of Surgeons.

[14]  R. Ortega.  Importance of functional foods in the Mediterranean diet , 2006, Public Health Nutrition.

[15]  Yizeng Liang,et al.  Identification of the composition of fatty acids in Eucommia ulmoides seed oil by fraction chain length and mass spectrometry , 2010 .

[16]  G. Fregapane,et al.  Changes in phenolic composition and antioxidant activity of virgin olive oil during frying. , 2003, Journal of agricultural and food chemistry.

[17]  Wei-Yin Loh,et al.  Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..

[18]  E. Trautwein,et al.  Replacing Saturated Fat with PUFA-Rich (Sunflower Oil) or MUFA-Rich (Rapeseed, Olive and High-Oleic Sunflower Oil) Fats Resulted in Comparable Hypocholesterolemic Effects in Cholesterol-Fed Hamsters , 1999, Annals of Nutrition and Metabolism.

[19]  H. Chung,et al.  COMPARISON OF HYPOCHOLESTEROLEMIC ACTIVITY OF TEA SEED OIL WITH COMMONLY USED VEGETABLE OILS IN HAMSTERS , 2011 .

[20]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[21]  H. Iso,et al.  Linoleic Acid, Other Fatty Acids, and the Risk of Stroke , 2002, Stroke.

[22]  G. Assmann,et al.  Effects of dietary fatty acids on the composition and oxidizability of low-density lipoprotein , 2002, European Journal of Clinical Nutrition.

[23]  Wim Klaassen,et al.  Estimating Annual CO2 Flux for Lutjewad Station Using Three Different Gap-Filling Techniques , 2012, TheScientificWorldJournal.

[24]  A. Bendini,et al.  PRELIMINARY EVALUATION OF THE APPLICATION OF THE FTIR SPECTROSCOPY TO CONTROL THE GEOGRAPHIC ORIGIN AND QUALITY OF VIRGIN OLIVE OILS , 2007 .

[25]  S. Vincenzi,et al.  Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy , 2011 .

[26]  M Beatriz P P Oliveira,et al.  Quantification of tocopherols and tocotrienols in portuguese olive oils using HPLC with three different detection systems. , 2006, Journal of agricultural and food chemistry.

[27]  M. Sahari,et al.  Characteristics of tea seed oil in comparison with sunflower and olive oils and its effect as a natural antioxidant , 2004 .