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 R
2 > 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.