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采用非特异性色谱挥发性图谱的化学计量分析识别挥发性化合物作为西班牙特级初榨橄榄油地理鉴别标记。

Recognition of volatile compounds as markers in geographical discrimination of Spanish extra virgin olive oils by chemometric analysis of non-specific chromatography volatile profiles.

机构信息

Department of Chemistry, University of La Rioja, C Madre de Dios 51, 26006 Logroño, La Rioja, Spain.

出版信息

J Chromatogr A. 2011 Jan 21;1218(3):518-23. doi: 10.1016/j.chroma.2010.11.045. Epub 2010 Nov 27.

Abstract

Chromatographic profiles obtained by headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography (GC) were processed as continuous and non-specific signals through multivariate analysis techniques in order to select and identify the most discriminate volatile marker compounds related to the geographical origin of extra virgin olive oils. The blind analysis of the chromatographic profiles was carried out on several steps including preliminary mathematical treatments, explorative analysis, feature selection and classification. The results obtained through the application of stepwise linear discriminant analysis (SLDA) method revealed a perfect discrimination between the different Spanish geographical regions considered (La Rioja, Andalusia and Catalonia). The assignment success rate was 100% in both classification and prediction by using cross validation procedure. In addition, it must be noted that the proposed strategy was able to verify the geographical origin of the samples involving only a reduced number of discriminate retention times selected by the stepwise procedure. This fact emphasizes the quality of the accurate results obtained and encourages the feasibility of similar procedures in olive oil quality and traceability studies. Finally, volatile compounds corresponding to the predictors retained were identified by gas chromatography-mass spectrometry (GC-MS) for a chemical interpretation of their importance in quality virgin olive oils.

摘要

通过顶空固相微萃取(HS-SPME)与气相色谱(GC)联用获得的色谱图谱通过多元分析技术进行处理,作为连续和非特异性信号,以选择和鉴定与特级初榨橄榄油地理来源相关的最具区分性的挥发性标记化合物。通过包括初步数学处理、探索性分析、特征选择和分类在内的几个步骤进行色谱图谱的盲分析。应用逐步线性判别分析(SLDA)方法得到的结果完美地区分了所考虑的不同西班牙地理区域(拉里奥哈、安达卢西亚和加泰罗尼亚)。使用交叉验证程序,分类和预测的分配成功率均为 100%。此外,必须指出的是,所提出的策略仅通过逐步程序选择的少数有区别的保留时间就能够验证样本的地理来源。这一事实强调了获得准确结果的质量,并鼓励在橄榄油质量和可追溯性研究中采用类似程序的可行性。最后,通过气相色谱-质谱(GC-MS)对保留的预测因子对应的挥发性化合物进行鉴定,以对其在优质特级初榨橄榄油中的重要性进行化学解释。

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