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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Main Authors: Filipa Simoes Grilo, Yanisa Srisaard, Selina C. Wang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/9/9/1207
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spelling 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
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