Correlations among differing quantitative definitions of lipid oxidative stability in commodity fats and oils

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• 作者：Adrian L. Kerrihard ; Korné ; l Nagy ; Brian D. Craft and Ronald B. Pegg
• 关键词：2-Thiobarbituric acid reactive substances ; Conjugated dienes and trienes ; Oil stability index ; p-Anisidine value ; Peroxide value
• 刊名：European Journal of Lipid Science and Technology
• 出版年：2016
• 出版时间：May 2016
• 年：2016
• 卷：118
• 期：5
• 页码：724-734
• 全文大小：267K
• ISSN：1438-9312

文摘

The objective of this study was to explore the compatibility of various oxidative stability quantifications in vegetable oils. A diverse sample set (n = 50) of edible fats and oils was examined. Oil stability index (OSI) data were collected with the initial lipids, and four classical methods (peroxide value [PV], conjugated dienes/trienes [CDT], p-anisidine value [p-AnV], and 2-thiobarbituric acid-reactive substances [TBARS]) were utilized to assess lipid decomposition over a period of 2 months of accelerated storage (60°C). Resultant oxidation curves were summarized by seven numerical interpretation techniques, and submitted to correlation analyses. The correlations among the different quantitations of stability ranged from negligible (r² < 0.10) to strong (r² > 0.90). The area-under-the-curve (AUC) and maximum value data demonstrated the greatest consistencies among the different assays. The strongest predictive relationship between 1° and 2° outputs occurred between maximum values for CDT and p-AnV (r² = 0.71). OSI values showed moderate power regression relationships (r² = 0.59–0.70) with the AUC data. The data demonstrate that the quantitation methods used to assess oxidative stability can dramatically affect results and conclusions. Caution, and consideration of these correlations, is recommended when designing oxidative stability studies, and also when comparing conclusions resulting from differing stability assessments.