基于四级杆/静电场轨道高分辨质谱技术的葡萄酒鉴别研究

Studies on Wine Identification Base on Quadrupole/Electrostatic Field Orbitrap High Resolution Mass Spectrum

借助高效液相色谱-四级杆/静电场轨道高分辨质谱技术和多元统计分析技术建立葡萄酒中13种多酚类物质的检测方法和葡萄酒鉴别的研究模型。样品中的多酚类物质经酸化后乙酸乙酯提取,ACQUITY UPLC BEH C_(18)色谱柱分离,全扫描和目标离子二级扫描定性,外标法定量,然后结合产区、成分、国别等信息,用主成分分析、偏最小二乘法-判别分析法对数据进行分析。结果显示,龙胆酸和香草酸含量是干红、干白判别的重要指标,龙胆酸和白藜芦醇含量是洲产区判别的典型指标,相应模型的准确率分别为96.2%和55.3%,可以初步实现葡萄酒品质和产区的鉴别。

A method to detect 13 polyphenols in wine and research models of wine identification was established by high pressure liquid chromatograph-quadrupole/electrostatic field orbitrap high resolution mass spectrometry and multivariate statistical analysis technology.The samples were extracted with ethyl acetate after acidizing.The qualitative confirmation was carried out by full scan and target MS2 spectra after separated on a ACQUITY UPLC BEH C18 column.An external standard method was used for quantitative analysis.The obtained data were analyzed by principal component analysis and partial least-squares discriminant analysis based on information of production area,composition and country.The results showed that 2,5-dihydroxybenzoic acid and vanillic acid were important indicators to distinguish red wine and white wine,while trans-resveratrol and 2,5-dihydroxybenzoic acid were important indicators of different production area.The accuracy of the corresponding models was 96.2%and 55.3%,respectively.It could preliminarily realize the identification of wine quality and producing area.