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Triacylglycerols (TAGs), essential energy storage lipids, are easily detected by conventional MALDI MS when occurring on their own. However, their signals are easily overwhelmed by other lipids, mainly phosphatidylcholines (PCs) and, therefore, require purification. In order to profile TAGs from crude lipid mixtures without prefractionation, we investigated alternative matrixes that can suppress phospholipid ion signals and enhance cationization of TAGs. We found that an aqueous solution of citrate-capped gold nanoparticles (AuNPs) with a diameter of 12 nm is a superior matrix for the laser desorption/ionization mass spectrometry (LDI MS) of TAGs in crude lipid mixtures. The AuNP matrix effectively suppressed other lipid signals such as phospholipids and also provided 100 times lower detection limit for TAGs than 2,5-dihydroxybenzoic acid (DHB), the best conventional MALDI matrix for TAGs. The AuNP-assisted LDI MS enabled us to obtain detailed TAG profiles including minor species directly from crude beef lipid extracts without phospholipid interference. In addition, we could detect TAGs at a trace level from a total brain lipid extract.

Extracellular vesicles (EVs) are cell-derived membrane-bound particles, including exosomes and microvesicles that differ in cellular origin, content, and lipid composition. This study reports that exosomes and microvesicles can be simultaneously separated by size using flow field-flow fractionation (FlFFF) employed with field programming and that the detection of lowconcentration EV species can be significantly improved using multiangle light scattering (MALS). The efficiency of ultracentrifugation (UC) and ultrafiltration (UF) in isolating EVs from the culture media of DU145 cells was compared, and the results showed that UF retrieves more EVs than UC. Two size fractions (small and large) of both exosomes and microvesicles were collected during the FlFFF runs and examined using Western blotting to confirm each EV, and transmission electron microscopy was performed for size analysis. Sizes were compared using the root-mean-square radius obtained from the MALS calculation. The collected fractions were further examined using nanoflow ultrahigh-performance liquid chromatography-electrospray ionizationtandem mass spectrometry for the size-dependent lipidomic profiles of exosomes and microvesicles, showing that lipids were more enriched in the fraction containing large exosomes than in that containing small exosomes; however, an opposite trend was observed with microvesicles. The present study demonstrated that UF followed by FlFFF-MALS can be utilized for the size separation of exosomes and microvesicles without sequential centrifugation, which is useful for monitoring the changes in the size distribution of EVs depending on the biological status along with generating size-dependent lipidomic profiles.