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Prediction of Walnut Deterioration Using Kernel Oxidative Stability. | LitMetric

Prediction of Walnut Deterioration Using Kernel Oxidative Stability.

Foods

Department of Food Science and Technology, University of California, Davis, CA 95616, USA.

Published: September 2020

AI Article Synopsis

Article Abstract

Monitoring walnut oxidation is essential to control walnut quality during storage. An accelerated oxidation method for differentiating the oxidative stability index (OSI) of walnut kernels was examined and the effects of instrument operational parameters such as temperature and airflow were evaluated. Four cultivars, Chandler, Solano, Durham, and Howard were analyzed at 110, 120, and 130 °C with 15, 20, and 25 L h airflow. Analysis using 110 °C with 25 L h yielded the lowest coefficients of variance (4.4) than other operational parameters; analysis using the same temperature at lower airflow, 15 L h, yield the highest coefficient of variance (10.5). Kernel OSI values were independent of airflow, however, dependence of temperature coefficient and Q were demonstrated. The results from selected parameters were correlated with fat and moisture content, peroxide value, UV absorbances, oil oxidative stability, hexanal, and rancidity to establish the relationships between OSI values and quality changes during storage. Using 0.5 g of ground kernels, at 110 °C with 25 L h airflow gave a lower coefficient of variance and higher correlation with kernel quality and oxidative markers comparing to other combinations of operating parameters.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555185PMC
http://dx.doi.org/10.3390/foods9091207DOI Listing

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