SPO, Univ Montpellier, INRAE, Institut Agro, Montpellier, France.
SPO, Univ Montpellier, INRAE, Institut Agro, Montpellier, France.
Food Chem. 2023 Nov 15;426:136613. doi: 10.1016/j.foodchem.2023.136613. Epub 2023 Jun 12.
Fourteen Syrah red wines with different initial composition and antioxidant properties (polyphenols, antioxidant capacity, voltammetric behaviour, colour parameters and SO) were selected. Three different accelerated ageing tests (AATs) were then performed on these wines: thermal test at 60 °C (60 °C-ATT), enzymatic test with laccase (Laccase-ATT) and chemical test with HO (HO-ATT). The results showed high correlations between the initial phenolic composition and antioxidant properties of the samples. Partial least squares (PLS) regressions were used in order to establish some models that can predict the AATs test results based on their different initial composition and antioxidant properties. The PLS regression models had overall very good accuracy and involved different explaining variables for each test. The models taking into account all the measured parameters and the phenolic composition alone showed good predictive capacities with correlation coefficients (r) > 0.89.
选取了 14 种西拉红葡萄酒，它们具有不同的初始成分和抗氧化性能（多酚、抗氧化能力、伏安行为、颜色参数和 SO）。然后对这些葡萄酒进行了三种不同的加速老化试验（AATs）：60°C 热试验（60°C-ATT）、漆酶酶试验（Laccase-ATT）和 HO 化学试验（HO-ATT）。结果表明，样品的初始酚类组成与抗氧化性能之间存在高度相关性。使用偏最小二乘（PLS）回归建立了一些模型，这些模型可以根据它们不同的初始成分和抗氧化性能来预测 AATs 试验结果。PLS 回归模型的整体准确性非常高，并且对于每个测试都涉及不同的解释变量。考虑所有测量参数和单独的酚类组成的模型显示出良好的预测能力，相关系数（r）>0.89。
