Shelf Life of Extra Virgin Olive Oil and Its Prediction Models

Extra virgin olive oil (EVOO), with high unsaturation degree (oleic acid, linoleic acid, and linolenic acid), is prone to oxidation during production and storage even with the presence of abundant antioxidants (e.g., phenolic compounds, alpha-tocopherol, and chlorophyll). The level of oxidation degr...

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Main Authors: Xueqi Li, Selina C. Wang
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Food Quality
Online Access:http://dx.doi.org/10.1155/2018/1639260
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author Xueqi Li
Selina C. Wang
author_facet Xueqi Li
Selina C. Wang
author_sort Xueqi Li
collection DOAJ
description Extra virgin olive oil (EVOO), with high unsaturation degree (oleic acid, linoleic acid, and linolenic acid), is prone to oxidation during production and storage even with the presence of abundant antioxidants (e.g., phenolic compounds, alpha-tocopherol, and chlorophyll). The level of oxidation degradation is greatly affected by the EVOO chemical composition (free fatty acids, saturated and unsaturated fat ratio, total phenol content, etc.) and storage conditions (packaging material, oxygen, temperature, and light). With the increasing demand on qualitative acceptability and food safety of an EVOO product, consumers rely heavily on “shelf life” as a good indicator. Hence, it is critical for olive oil producers to provide accurate and practical information on shelf-life prediction. This review analyzes ten shelf-life prediction models that used various parameters and approaches for model establishment. Due to the complexity of chemical interactions between oil phase and environment under real-time storage and rapid accelerated testing conditions, further investigation is needed to scrutinize and minimize the discrepancies between real-time shelf life and predicted shelf life of EVOO products.
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spelling doaj-art-bdde14676b42472c86a1daf41d4778f72025-02-03T05:45:48ZengWileyJournal of Food Quality0146-94281745-45572018-01-01201810.1155/2018/16392601639260Shelf Life of Extra Virgin Olive Oil and Its Prediction ModelsXueqi Li0Selina C. Wang1University of California Davis Olive Center, Davis, CA 95616, USAUniversity of California Davis Olive Center, Davis, CA 95616, USAExtra virgin olive oil (EVOO), with high unsaturation degree (oleic acid, linoleic acid, and linolenic acid), is prone to oxidation during production and storage even with the presence of abundant antioxidants (e.g., phenolic compounds, alpha-tocopherol, and chlorophyll). The level of oxidation degradation is greatly affected by the EVOO chemical composition (free fatty acids, saturated and unsaturated fat ratio, total phenol content, etc.) and storage conditions (packaging material, oxygen, temperature, and light). With the increasing demand on qualitative acceptability and food safety of an EVOO product, consumers rely heavily on “shelf life” as a good indicator. Hence, it is critical for olive oil producers to provide accurate and practical information on shelf-life prediction. This review analyzes ten shelf-life prediction models that used various parameters and approaches for model establishment. Due to the complexity of chemical interactions between oil phase and environment under real-time storage and rapid accelerated testing conditions, further investigation is needed to scrutinize and minimize the discrepancies between real-time shelf life and predicted shelf life of EVOO products.http://dx.doi.org/10.1155/2018/1639260
spellingShingle Xueqi Li
Selina C. Wang
Shelf Life of Extra Virgin Olive Oil and Its Prediction Models
Journal of Food Quality
title Shelf Life of Extra Virgin Olive Oil and Its Prediction Models
title_full Shelf Life of Extra Virgin Olive Oil and Its Prediction Models
title_fullStr Shelf Life of Extra Virgin Olive Oil and Its Prediction Models
title_full_unstemmed Shelf Life of Extra Virgin Olive Oil and Its Prediction Models
title_short Shelf Life of Extra Virgin Olive Oil and Its Prediction Models
title_sort shelf life of extra virgin olive oil and its prediction models
url http://dx.doi.org/10.1155/2018/1639260
work_keys_str_mv AT xueqili shelflifeofextravirginoliveoilanditspredictionmodels
AT selinacwang shelflifeofextravirginoliveoilanditspredictionmodels