Garrido-Fernández A, Cortés-Delgado A, López-López A
Instituto de la Grasa (CSIC), Departamento de Biotecnología de los Alimentos, Campus Universitario Pablo de Olavide, Edificio 46, Ctra. Utrera km 1. 41013 Sevilla, Spain.
Instituto de la Grasa (CSIC), Departamento de Biotecnología de los Alimentos, Campus Universitario Pablo de Olavide, Edificio 46, Ctra. Utrera km 1. 41013 Sevilla, Spain.
Food Chem. 2018 Feb 15;241:14-22. doi: 10.1016/j.foodchem.2017.08.064. Epub 2017 Aug 31.
Conventional multivariate and compositional data analyses were applied tentatively to investigate the effects of processing steps and fat extraction systems on the fatty acid profiles of green Spanish-style Gordal table olives. In the first case, the profiles (expressed in percentages) were subjected directly to a conventional statistical study. Secondly, the profiles were regarded as data in the Simplex space and subjected to its specific tools or transformed into coordinates in the Euclidean space to be analysed by conventional multivariate techniques. Exploratory classical and compositional data analyses showed that the main changes were due to fermentation. Tentative cluster and PCA analyses using the compositional coordinates in the Euclidean space led to a more realistic segregation among treatments than applying percentages. Overall, the results suggested that the fatty acid profiles of table olives should be considered as compositional data and analysed accordingly.
初步应用传统的多变量和成分数据分析方法,以研究加工步骤和脂肪提取系统对西班牙绿橄榄(Gordal)餐桌橄榄脂肪酸谱的影响。在第一种情况下,这些谱图(以百分比表示)直接进行传统的统计研究。其次,将这些谱图视为单纯形空间中的数据,并应用其特定工具进行分析,或将其转换为欧几里得空间中的坐标,以便通过传统的多变量技术进行分析。探索性的经典和成分数据分析表明,主要变化是由发酵引起的。使用欧几里得空间中的成分坐标进行的初步聚类分析和主成分分析,比应用百分比能更真实地区分不同处理。总体而言,结果表明餐桌橄榄的脂肪酸谱应被视为成分数据并据此进行分析。