Mancebo-Campos Vanessa, Salvador María Desamparados, Fregapane Giuseppe
Department of Analytical Chemistry and Food Technology, Faculty of Chemistry, University of Castilla-La Mancha, 13071 Ciudad Real, Spain.
Antioxidants (Basel). 2022 Mar 11;11(3):539. doi: 10.3390/antiox11030539.
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.
开发有效的保质期预测模型对橄榄油行业极为重要。本研究是先前在温和温度(40 - 60°C)下进行的加速保质期试验的延续,此次试验用于评估温度对微量成分(酚类、生育酚、色素)的氧化作用,以完善保质期预测模型。报告了不同初榨橄榄油样品在不同温度(25 - 60°C)下储存期间酚类化合物、α - 生育酚和色素的动力学行为。羟基酪醇、酪醇和α - 生育酚符合伪零级动力学,而羟基酪醇和酪醇的裂环烯醚萜衍生物、邻二酚和总酚显然遵循伪一级动力学。酚类化合物和α - 生育酚的温度依赖性动力学通过线性阿伦尼乌斯模型得到了很好的描述。计算了表观活化能。主成分分析用于将所考虑的成分和降解变量转化为较少的不相关主成分,结果得到4个主成分:“不可氧化底物”、“初始氧化状态和条件”、“游离简单酚类”和“降解速率”。此外,考虑到加速储存中易于测定的初始成分和实验变量,使用多元线性回归得出了几个保质期预测的建模方程。