Mannina L, Patumi M, Proietti N, Bassi D, Segre A L
Facoltà di Scienze, Università degli Studi del Molise, MM.FF.NN.,Via Mazzini 8, 86170 Isernia, Italy.
J Agric Food Chem. 2001 Jun;49(6):2687-96. doi: 10.1021/jf001408i.
1H high-field nuclear magnetic resonance (NMR) was used to analyze 216 extra virgin olive oils collected in three years (1996, 1997, and 1998) in different Italian areas in order to evaluate the potential contribution of this technique to the geographical characterization of olive oils. A statistical procedure performed on the intensity of selected NMR peaks has been proposed. Tree clustering analysis of NMR data performed without any a priori hypothesis showed the existence of reliable parameters able to group the olive oils according to the location of olive oil production. Linear discriminant analysis applied to selected NMR parameters of olive oils of the same year of production allowed the grouping of samples according to their geographical origin with only very few errors. Moreover, a satisfactory grouping is reached by combining the NMR data of olive oils from two different years (1996 and 1997). Operating on appropriate sampling, a careful analysis of data yielded the conclusion that the place of olive production could be singled out as a discriminating factor regardless of the cultivars from which the olive oils are derived.
采用1H高场核磁共振(NMR)技术对1996年、1997年和1998年三年间在意大利不同地区采集的216份特级初榨橄榄油进行分析,以评估该技术对橄榄油地理特征表征的潜在贡献。已提出一种对选定NMR峰强度进行的统计程序。在没有任何先验假设的情况下对NMR数据进行的树状聚类分析表明,存在能够根据橄榄油生产地点对橄榄油进行分组的可靠参数。对同一年生产的橄榄油选定的NMR参数进行线性判别分析,可以根据地理来源对样品进行分组,错误极少。此外,将来自两个不同年份(1996年和1997年)的橄榄油的NMR数据相结合,也能得到令人满意的分组结果。通过适当抽样并仔细分析数据得出结论,无论橄榄油来自何种品种,橄榄的生产地都可作为一个鉴别因素。