Twenty-seven commercial fat and oil samples were monitored for the accumulation of lipid oxidation products over ~60 days of accelerated storage (60 �C). The samples ranged from highly saturated (e.g. coconut) to highly unsaturated (e.g. soybean) oils, and were screened for the absence of synthetic antioxidants. Primary oxidation products were monitored by peroxide value (PV) as well as conjugated dienes and trienes (CDT). Secondary oxidation products were monitored according to 2-thiobarbituric acid reactive substances (TBARS) and p-anisidine value (p-AnV). It was determined that the standardized summation of the integrated areas of these four analyses exhibited high linear correlation (R (adj.) = .962) with measures of monounsaturated fatty acid (MUFA), diunsaturated fatty acid (DiUFA), and triunsaturated fatty acid (TriUFA) compositional data. As modeled, the detriment to oxidative stability contributed by these fatty acids exceeded the 1:2:3 ratio of their respective number of double bonds. Examination of numerous physical/location factors and the levels of fat-soluble vitamins allowed for an improvement of the predictive model. Unsaturated monoacylglycerols (MAGs) were shown to significantly decrease stability. Consideration of neither a-tocopherol nor �-carotene improved the model; however, d-tocopherol and d-tocotrienol both exhibited a significant positive effect upon stability. The final model (R (adj.) = .971) suggests that the long-term accumulation of oxidation products within fats and oils correlates strongly with the measured consideration of concentrations of unsaturated MAGs, d-tocopherol, d-tocotrienol, MUFAs, DiUFAs, and TriUFAs.? Figure 1. <img src='https://acs-archive-assets2.s3.amazonaws.com/241nm/uploads/64212_untitled.jpg' alt='' /> ?

Predictive modeling for the accumulation of lipid oxidation products

248th National Meeting (2014)

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