Lorenzo I Marcos, Pavón J L Pérez, Laespada M E Fernández, Pinto C García, Cordero B Moreno, Henriques L R, Peres M F, Simões M P, Lopes P S
Departamento de Química Analítica, Nutrición y Bromatología, Facultad de Química, Universidad de Salamanca, Spain.
Anal Bioanal Chem. 2002 Dec;374(7-8):1205-11. doi: 10.1007/s00216-002-1607-1. Epub 2002 Nov 6.
In the present work we propose the use of headspace-mass spectrometry (HS-MS) for the characterisation of monovarietal olive oils, an issue of interest when the origin of an oil has to be determined. The HS-MS procedure involves the direct introduction of the sample into a vial, headspace generation and automatic injection of the volatiles into a mass spectrometer. The results were compared with those obtained using more conventional approaches, including chromatographic, spectrophotometric and other types of analysis. Linear Discriminant Analysis (LDA) was applied to the data obtained with both analytical methodologies to achieve the differentiation of the three types of samples. The proposed method is faster and cheaper than those usually employed for edible oil analysis and no sample preparation is required. Additionally, the measuring process is simple and the results obtained from chemometric treatment are 100% correct as regards classification and prediction, making it an appropriate method for routine control.
在本研究中,我们提出使用顶空质谱法(HS-MS)来表征单一品种的橄榄油,这在必须确定油的来源时是一个备受关注的问题。HS-MS程序包括将样品直接引入小瓶、产生顶空以及将挥发物自动注入质谱仪。将结果与使用更传统方法(包括色谱法、分光光度法和其他类型分析)获得的结果进行了比较。对两种分析方法获得的数据应用线性判别分析(LDA),以实现对三种类型样品的区分。所提出的方法比通常用于食用油分析的方法更快、更便宜,并且无需样品制备。此外,测量过程简单,化学计量处理获得的结果在分类和预测方面100%正确,使其成为一种适用于常规控制的方法。