Cargando…
Modelling Virgin Olive Oil Potential Shelf-Life from Antioxidants and Lipid Oxidation Progress
The development of effective shelf-life prediction models is extremely important for the olive oil industry. This research is the continuation of a previous accelerated shelf-life test at mild temperature (40–60 °C), applied in this case to evaluate the oxidation effect of temperature on minor compo...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944963/ https://www.ncbi.nlm.nih.gov/pubmed/35326189 http://dx.doi.org/10.3390/antiox11030539 |
_version_ | 1784673837435060224 |
---|---|
author | Mancebo-Campos, Vanessa Salvador, María Desamparados Fregapane, Giuseppe |
author_facet | Mancebo-Campos, Vanessa Salvador, María Desamparados Fregapane, Giuseppe |
author_sort | Mancebo-Campos, Vanessa |
collection | PubMed |
description | The development of effective shelf-life prediction models is extremely important for the olive oil industry. This research is the continuation of a previous accelerated shelf-life test at mild temperature (40–60 °C), applied in this case to evaluate the oxidation effect of temperature on minor components (phenols, tocopherol, pigments) to properly complete a shelf-life predictive model. The kinetic behaviour of phenolic compounds, α-tocopherol and pigments during storage of different virgin olive oil samples at different temperatures (25–60 °C) is reported. Hydroxytyrosol, tyrosol and α-tocopherol fitted to pseudo-zero-order kinetics, whereas secoiridoid derivatives of hydroxytyrosol and tyrosol, o-diphenols and total phenols apparently followed pseudo-first-order kinetics. The temperature-dependent kinetic of phenolic compounds and α-tocopherol were well described by the linear Arrhenius model. The apparent activation energy was calculated. Principal component analysis was used to transform the considered compositional and degradation variables into fewer uncorrelated principal components resulting in 4: “no oxidizable substrate”, “initial oxidation state and conditions”, “free simple phenols”, and “degradation rates”. In addition, multivariate linear regression was used to yield several modelling equations for shelf-life prediction, considering initial composition and experimental variables easily determined in accelerated storage. |
format | Online Article Text |
id | pubmed-8944963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89449632022-03-25 Modelling Virgin Olive Oil Potential Shelf-Life from Antioxidants and Lipid Oxidation Progress Mancebo-Campos, Vanessa Salvador, María Desamparados Fregapane, Giuseppe Antioxidants (Basel) Article The development of effective shelf-life prediction models is extremely important for the olive oil industry. This research is the continuation of a previous accelerated shelf-life test at mild temperature (40–60 °C), applied in this case to evaluate the oxidation effect of temperature on minor components (phenols, tocopherol, pigments) to properly complete a shelf-life predictive model. The kinetic behaviour of phenolic compounds, α-tocopherol and pigments during storage of different virgin olive oil samples at different temperatures (25–60 °C) is reported. Hydroxytyrosol, tyrosol and α-tocopherol fitted to pseudo-zero-order kinetics, whereas secoiridoid derivatives of hydroxytyrosol and tyrosol, o-diphenols and total phenols apparently followed pseudo-first-order kinetics. The temperature-dependent kinetic of phenolic compounds and α-tocopherol were well described by the linear Arrhenius model. The apparent activation energy was calculated. Principal component analysis was used to transform the considered compositional and degradation variables into fewer uncorrelated principal components resulting in 4: “no oxidizable substrate”, “initial oxidation state and conditions”, “free simple phenols”, and “degradation rates”. In addition, multivariate linear regression was used to yield several modelling equations for shelf-life prediction, considering initial composition and experimental variables easily determined in accelerated storage. MDPI 2022-03-11 /pmc/articles/PMC8944963/ /pubmed/35326189 http://dx.doi.org/10.3390/antiox11030539 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mancebo-Campos, Vanessa Salvador, María Desamparados Fregapane, Giuseppe Modelling Virgin Olive Oil Potential Shelf-Life from Antioxidants and Lipid Oxidation Progress |
title | Modelling Virgin Olive Oil Potential Shelf-Life from Antioxidants and Lipid Oxidation Progress |
title_full | Modelling Virgin Olive Oil Potential Shelf-Life from Antioxidants and Lipid Oxidation Progress |
title_fullStr | Modelling Virgin Olive Oil Potential Shelf-Life from Antioxidants and Lipid Oxidation Progress |
title_full_unstemmed | Modelling Virgin Olive Oil Potential Shelf-Life from Antioxidants and Lipid Oxidation Progress |
title_short | Modelling Virgin Olive Oil Potential Shelf-Life from Antioxidants and Lipid Oxidation Progress |
title_sort | modelling virgin olive oil potential shelf-life from antioxidants and lipid oxidation progress |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944963/ https://www.ncbi.nlm.nih.gov/pubmed/35326189 http://dx.doi.org/10.3390/antiox11030539 |
work_keys_str_mv | AT mancebocamposvanessa modellingvirginoliveoilpotentialshelflifefromantioxidantsandlipidoxidationprogress AT salvadormariadesamparados modellingvirginoliveoilpotentialshelflifefromantioxidantsandlipidoxidationprogress AT fregapanegiuseppe modellingvirginoliveoilpotentialshelflifefromantioxidantsandlipidoxidationprogress |