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首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Use of triacylglycerol profiles established by high performance liquid chromatography with ultraviolet-visible detection to predict the botanical origin of vegetable oils
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Use of triacylglycerol profiles established by high performance liquid chromatography with ultraviolet-visible detection to predict the botanical origin of vegetable oils

机译：使用高效液相色谱法和紫外-可见检测建立的三酰基甘油谱来预测植物油的植物来源

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摘要

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.
机译：已经开发了一种通过HPLC紫外-可见检测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），在流动相组成和柱温方面优化了TAG分离。使用乙腈等度洗脱。10 °C下正戊醇，效率高，大多数TAG峰对之间分离度高，总分析时间为15。min，实现了。使用质谱检测，共鉴定出15个峰，这些峰是六种不同植物来源（玉米，特级初榨橄榄，葡萄籽，榛子，花生和大豆）的油所共有的。这些峰用于构建用于植物起源预测的线性判别分析（LDA）模型。使用成对选择的峰面积的比率作为预测因子。所有油品均被正确分类，分配概率高于95%。

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