University of Hohenheim, Institute of Food Chemistry, Garbenstrasse 28, 70599 Stuttgart, Germany.
Anal Bioanal Chem. 2010 Apr;396(7):2695-707. doi: 10.1007/s00216-010-3502-5. Epub 2010 Feb 14.
Fatty acid methyl esters obtained from a fish oil sample were fractionated by non-aqueous reversed-phase high-performance liquid chromatography (RP-HPLC) using three serially connected C(18)-columns and pure methanol as the eluent. The HPLC fractions were analyzed by gas chromatography-electron ionization mass spectrometry in the selected ion monitoring mode. Data analysis and visualization was performed by the creation of a two-dimensional (2D) contour plot, in which GC retention times were plotted against the HPLC fractions. The 2D contour plot resulted in a full resolution of more than 120 fatty acids. The fatty acids were arranged on predictable lines and curves in dependence of the number of carbons and double bonds. The 2D contour plot enabled both the recognition of unknown fatty acids (which were found off the lines and curves) and the prediction of the coordinates of known fatty acids. Finally, selected HPLC fractions were subjected to further experiments (hydrogenation, silver ion fractionation, specific GC/MS measurements) in order to verify the structural assignments predicted from the 2D contour plot. All in all, the structures of over 100 FAs could be assigned to the peaks detected in the 2D contour plots.
从鱼油样品中获得的脂肪酸甲酯,经非水反相高效液相色谱(RP-HPLC)用三根串联的 C(18)柱和纯甲醇作为洗脱剂进行分离。HPLC 馏分通过气相色谱-电子电离质谱在选择离子监测模式下进行分析。数据分析和可视化是通过创建二维(2D)等高线图来完成的,其中 GC 保留时间被绘制在 HPLC 馏分上。2D 等高线图实现了对 120 多种脂肪酸的全分辨率解析。脂肪酸根据碳原子数和双键数排列在可预测的线上和曲线上。2D 等高线图既可以识别未知脂肪酸(在线和曲线之外发现的脂肪酸),也可以预测已知脂肪酸的坐标。最后,选择的 HPLC 馏分进行进一步的实验(加氢、银离子分级、特定的 GC/MS 测量),以验证从 2D 等高线图预测的结构分配。总之,超过 100 种 FA 的结构可以被分配给在 2D 等高线图中检测到的峰。