Prediction of Walnut Deterioration Using Kernel Oxidative Stability
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 evaluate...
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2020-09-01
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doaj-987709d308054f7ebd793174379e9f2c2020-11-25T03:51:44ZengMDPI AGFoods2304-81582020-09-0191207120710.3390/foods9091207Prediction of Walnut Deterioration Using Kernel Oxidative StabilityFilipa Simoes Grilo0Yanisa Srisaard1Selina C. Wang2Department of Food Science and Technology, University of California, Davis, CA 95616, USADepartment of Food Science and Technology, University of California, Davis, CA 95616, USADepartment of Food Science and Technology, University of California, Davis, CA 95616, USAMonitoring 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<sup>−1</sup> airflow. Analysis using 110 °C with 25 L h<sup>−1</sup> yielded the lowest coefficients of variance (4.4) than other operational parameters; analysis using the same temperature at lower airflow, 15 L h<sup>−1</sup>, yield the highest coefficient of variance (10.5). Kernel OSI values were independent of airflow, however, dependence of temperature coefficient and Q<sub>10</sub> 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<sup>−1</sup> airflow gave a lower coefficient of variance and higher correlation with kernel quality and oxidative markers comparing to other combinations of operating parameters.https://www.mdpi.com/2304-8158/9/9/1207peroxide valuestorageRancimathexanalranciditysensory evaluation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Filipa Simoes Grilo Yanisa Srisaard Selina C. Wang |
spellingShingle |
Filipa Simoes Grilo Yanisa Srisaard Selina C. Wang Prediction of Walnut Deterioration Using Kernel Oxidative Stability Foods peroxide value storage Rancimat hexanal rancidity sensory evaluation |
author_facet |
Filipa Simoes Grilo Yanisa Srisaard Selina C. Wang |
author_sort |
Filipa Simoes Grilo |
title |
Prediction of Walnut Deterioration Using Kernel Oxidative Stability |
title_short |
Prediction of Walnut Deterioration Using Kernel Oxidative Stability |
title_full |
Prediction of Walnut Deterioration Using Kernel Oxidative Stability |
title_fullStr |
Prediction of Walnut Deterioration Using Kernel Oxidative Stability |
title_full_unstemmed |
Prediction of Walnut Deterioration Using Kernel Oxidative Stability |
title_sort |
prediction of walnut deterioration using kernel oxidative stability |
publisher |
MDPI AG |
series |
Foods |
issn |
2304-8158 |
publishDate |
2020-09-01 |
description |
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<sup>−1</sup> airflow. Analysis using 110 °C with 25 L h<sup>−1</sup> yielded the lowest coefficients of variance (4.4) than other operational parameters; analysis using the same temperature at lower airflow, 15 L h<sup>−1</sup>, yield the highest coefficient of variance (10.5). Kernel OSI values were independent of airflow, however, dependence of temperature coefficient and Q<sub>10</sub> 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<sup>−1</sup> airflow gave a lower coefficient of variance and higher correlation with kernel quality and oxidative markers comparing to other combinations of operating parameters. |
topic |
peroxide value storage Rancimat hexanal rancidity sensory evaluation |
url |
https://www.mdpi.com/2304-8158/9/9/1207 |
work_keys_str_mv |
AT filipasimoesgrilo predictionofwalnutdeteriorationusingkerneloxidativestability AT yanisasrisaard predictionofwalnutdeteriorationusingkerneloxidativestability AT selinacwang predictionofwalnutdeteriorationusingkerneloxidativestability |
_version_ |
1724485846455812096 |