Abstract
In order to improve the separation of the sterol classes present in vegetable oils, an isocratic off-line HPLC fractionation of unsaponifiable has been developed using a cyano-bonded phase column as stationary phase and hexane/tert-butylmethyl ether (80:20 (v/v)) as mobile phase, which permits to obtain them in less than 12 min. With the aim of evaluating the developed procedure, different samples of edible oils, such as extra virgin and pomace olive oil, sunflower, soybean, etc., were analyzed by GC-FID. The concentration of each phytosterol was found by means of an internal calibration at one level, using α-cholestanol as surrogate and theoretical correction factors. Their concentration profiles have been used to provide a pattern capable of distinguish among different vegetable oils. The chemometric study based on the Hierarchical Cluster Analysis and Factor Analysis (FA) using principal components and Varimax rotation was applied to the Box-Cox transformed data set to obtain the natural classes used in the final Linear Discriminant Analysis. Two discriminant functions explaining the 94.89 % of the total variance has been considered enough to classify the studied samples.
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The authors are grateful to the Consejería de Educación y Ciencia de la Junta de Andalucía for financial assistance (Research Group FQM 0232).
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Domingo Gázquez Evangelista declares that he has no conflict of interest. Estefania Pérez Castaño declares that she has no conflict of interest. Mercedes Sánchez-Viñas declares that she has no conflict of interest. Ma. Gracia Bagur-González declares that she has no conflict of interest. This article does not contain any studies with human or animal subjects.
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Gázquez-Evangelista, D., Pérez-Castaño, E., Sánchez-Viñas, M. et al. Using offline HPLC-GC-FID 4-Desmethylsterols Concentration Profiles, Combined with Chemometric Tools, to Discriminate Different Vegetable Oils. Food Anal. Methods 7, 912–925 (2014). https://doi.org/10.1007/s12161-013-9773-7
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DOI: https://doi.org/10.1007/s12161-013-9773-7