Sun Xian, Shi Jiachen, Li Ruizhi, Chen Xiaoying, Zhang Shuang, Xu Yong-Jiang, Liu Yuanfa
State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Reacher Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, No. 1800, Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China.
The Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi 214122, Jiangsu, People's Republic of China.
J Agric Food Chem. 2022 Mar 16;70(10):3331-3343. doi: 10.1021/acs.jafc.1c06446. Epub 2022 Mar 1.
Glycerol ester (GE) is a kind of important lipid in milk, which varies greatly depending on many factors. In this study, a novel pseudotargeted lipidomics strategy, named SWATH-MS2&1, was developed for the detection of GEs in milk and the Folch method was selected for the sample preparation. The developed method exhibited a competitive alternative to the acknowledged pseudotargeted strategy, including wider coverage (12 more GEs detected), higher repeatability (12 more GEs, whose coefficient of variation < 0.3), better linearity (5 more GEs, whose > 0.8), and similar sensitivity (only 2 GEs less than P-MRM after dilution). SWATH-MS2&1 was applied in the investigation of GEs from different milk samples. The orthogonal partial least-squares difference analysis of 219 GEs identified from SWATH-MS2&1 showed satisfying differentiation of different milk samples, and 76 GEs were screened out as potential markers. Our findings demonstrated that SWATH-MS2&1 could offer an accurate method to measure a wide spectrum of GEs in milk.
甘油酯（GE）是牛奶中一种重要的脂质，其含量因多种因素而有很大差异。在本研究中，开发了一种名为SWATH-MS2&1的新型伪靶向脂质组学策略，用于检测牛奶中的甘油酯，并选择Folch法进行样品制备。所开发的方法与公认的伪靶向策略相比具有竞争力，包括覆盖范围更广（多检测到12种甘油酯）、重复性更高（多12种甘油酯，变异系数<0.3）、线性更好（多5种甘油酯，R²>0.8）以及灵敏度相似（稀释后仅比P-MRM少检测到2种甘油酯）。SWATH-MS2&1被应用于不同牛奶样品中甘油酯的研究。对从SWATH-MS2&1鉴定出的219种甘油酯进行的正交偏最小二乘判别分析显示，不同牛奶样品之间有令人满意的区分，筛选出76种甘油酯作为潜在标志物。我们的研究结果表明，SWATH-MS2&1可以提供一种准确的方法来测量牛奶中多种甘油酯。
