D'Imperio Marco, Gobbino Marco, Picanza Antonio, Costanzo Simona, Della Corte Anna, Mannina Luisa
Parco Scientifico e Tecnologico "Moliseinnovazione S.C.p.A." Via De Sanctis snc, I-86100 Campobasso, Italy.
J Agric Food Chem. 2010 Oct 27;58(20):11043-51. doi: 10.1021/jf1026982. Epub 2010 Oct 5.
The influence of harvest period and harvest method on olive oil composition was investigated by nuclear magnetic resonance (NMR) spectroscopy and by some quality parameters such as free acidity, peroxide value, and UV spectrophotometric indices. This work focuses on two secondary factors (harvest period and harvest method) and investigated their interactions with primary (genetic and pedoclimatic) and secondary (agronomic practices and technological procedures) factors. To avoid misinterpretation, the general linear model analysis (GLM) was used to adjust the result obtained from the analysis of variance (ANOVA). In this way, the effect of the factor of interest was corrected for the effects of the other factors that might influence the variable under investigation. The weight of each factor was evaluated by the variance component analysis (VCA). Finally, multivariate statistical analyses, namely, principal component analysis (PCA) and linear discriminant analysis (LDA), were applied. Samples were grouped according to the harvest period and harvest method. Volatile compounds, that is, hexanal and trans-2-hexenal, as well as the sn-1,3-diglycerides and squalene, significantly decreased during the ripening. The relative value of the ΔK parameter and the hexanal amount were higher in the olive oils obtained from olives harvested by one type of hand-held machine (shaker), whereas the unsaturated fatty chains in the olive oils were higher when another type (comb) was used.
通过核磁共振（NMR）光谱以及游离酸度、过氧化值和紫外分光光度指数等一些质量参数，研究了收获期和收获方法对橄榄油成分的影响。这项工作聚焦于两个次要因素（收获期和收获方法），并研究了它们与主要因素（遗传和土壤气候）以及次要因素（农艺实践和工艺程序）之间的相互作用。为避免误解，采用一般线性模型分析（GLM）来调整方差分析（ANOVA）所得结果。通过这种方式，针对可能影响所研究变量的其他因素的影响，对感兴趣因素的效应进行了校正。通过方差成分分析（VCA）评估每个因素的权重。最后，应用了多元统计分析，即主成分分析（PCA）和线性判别分析（LDA）。根据收获期和收获方法对样品进行分组。挥发性化合物，即己醛和反式-2-己烯醛，以及sn-1,3-甘油二酯和角鲨烯，在成熟过程中显著减少。从一种手持式机器（振动器）收获的橄榄所得橄榄油中，ΔK参数的相对值和己醛含量较高，而使用另一种类型（梳子）时，橄榄油中的不饱和脂肪酸链含量较高。
