Departamento de Química Analítica, Universidad de Valencia, C. Doctor Moliner 50, E-46100 Burjassot, Valencia, Spain.
J Chromatogr A. 2011 Oct 21;1218(42):7521-7. doi: 10.1016/j.chroma.2011.07.078. Epub 2011 Jul 30.
A method for the determination of triacylglycerols (TAGs) in vegetable oils from different botanical origins by HPLC with UV-vis detection has been developed. Using a core-shell particle packed column (C18, 2.6 μm), TAG separation was optimized in terms of mobile phase composition and column temperature. Using isocratic elution with acetonitrile/n-pentanol at 10 °C, excellent efficiency with good resolution between most of the TAG peak pairs, within a total analysis time of 15 min, was achieved. Using mass spectrometry detection, a total of 15 peaks, which were common to oils of six different botanical origins (corn, extra virgin olive, grapeseed, hazelnut, peanut and soybean) were identified. These peaks were used to construct linear discriminant analysis (LDA) models for botanical origin prediction. Ratios of the peak areas selected by pairs were used as predictors. All the oils were correctly classified with assignment probabilities higher than 95%.
已开发出一种通过 HPLC 与紫外可见检测法测定不同植物来源植物油中三酰基甘油 (TAG) 的方法。使用核壳颗粒填充柱 (C18，2.6 μm)，优化了流动相组成和柱温条件，以实现 TAG 分离。采用 10°C 下的乙腈/正戊醇等度洗脱，在 15 分钟的总分析时间内，实现了大多数 TAG 峰对之间的优异效率和好的分辨率。使用质谱检测，共鉴定出 15 个峰，这些峰在六种不同植物来源的油（玉米、特级初榨橄榄油、葡萄籽油、榛子油、花生油和大豆油）中均存在。这些峰被用于构建用于预测植物来源的线性判别分析 (LDA) 模型。选择的峰面积比值被用作预测因子。所有的油都被正确分类，分配概率高于 95%。
