Variability of 4-Monomethylsterols and 4,4'-Dimethylsterols in Olive Oil and Their Use as Indicators of Olive Variety, Ripening Degree, and Oil Storage Temperature.
Variability of 4-Monomethylsterols and 4,4'-Dimethylsterols in Olive Oil and Their Use as Indicators of Olive Variety, Ripening Degree, and Oil Storage Temperature.
复制标题
橄榄油中 4-单甲基甾醇和 4,4-二甲基甾醇的变异性及其作为橄榄品种、成熟度和油储存温度指标的用途。
DOI：
10.1021/acs.jafc.5b01638
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发表时间：
2015
影响因子：
6.1
通讯作者：
V. Piližota
中科院分区：
文献类型：
--
作者：
M. Lukić;I. Lukić;Barbara Sladonja;V. Piližota
为了研究橄榄油中4-单甲基甾醇和4，4 '-二甲基甾醇在品种、成熟度和储存温度下的变异性，对36个样品进行了气相色谱-火焰离子化检测（GC-FID）和质谱检测（GC-MS），并对结果进行了单变量和多变量统计处理。β-香树脂醇、环阿屯醇和24-亚甲基环木菠萝烷醇的相对含量（百分比）因品种而变化最大，而Citrostadienol（百分比）和24-亚甲基环木菠萝烷醇（毫克/100克）受成熟的强烈影响。多变量统计区分橄榄油，无论储存条件，这意味着可能使用4-单甲基和4，4 '-二甲基甾醇作为新鲜和储存油的品种和成熟度的指标。储存后4-单甲基和4，4 '-二甲基甾醇的绝对变化幅度要小得多，这意味着研究的橄榄油基本上保留了来自这些化合物的有益健康的特征。储存引起的相对变化是具体的每个存储温度，并在判别油的线性判别分析是有用的。
To investigate the variability of 4-monomethylsterols and 4,4'-dimethylsterols in olive oil as a result of variety, ripening, and storage temperature, 36 samples were subjected to gas chromatography with flame ionization detection (GC-FID) and with mass spectrometric detection (GC-MS), and results were processed by univariate and multivariate statistics. Relative amounts (percent) of β-amyrin, cycloartenol, and 24-methylenecycloartanol accounted for the most variation due to variety, while citrostadienol (percent) and 24-methylenecycloartanol (milligrams per 100 g) were strongly affected by ripening. Multivariate statistics differentiated olive oils regardless of storage conditions, which implied the possibility to use 4-monomethyl- and 4,4'-dimethylsterols as indicators of variety and ripening degree for fresh and stored oils. Absolute changes in 4-monomethyl- and 4,4'-dimethylsterols after storage were of a much smaller magnitude, meaning the investigated olive oils essentially retained health-beneficial features that derive from these compounds. Relative changes caused by storage were specific for each storage temperature and were useful in discriminating oils by linear discriminant analysis.