Spectroscopic characterization of bionanoparticles originating from newly developed self-forming synthetic PEGylated lipids (QuSomes)

In this work, we have aimed to merge the advantages of nanotechnology and biophotonics in conjunction with vibrational spectroscopic techniques in order to understand the various aspects of new kinds of synthetic bionanoparticles originating from self-forming synthetic biopolymers known as polyethylene glycol (PEG)ylated lipids. In particular, two complementary molecular spectroscopic techniques based on thin-layered Fourier transform infrared and confocal laser tweezers. Raman spectroscopy has been employed for the investigations of newly developed artificial PEGylated lipids trademarked as QuSomes. These novel types of synthetic lipids are composed of 1,2-dimyristoyl-rac-glycerol-3-dodecaethylene glycol (GDM-12), 1,2-dioleoyl-rac-glycerol-3-dodecaethylene glycol (GDO-12), and 1,2-distearoyl-rac-glycerol-3-triicosaethylene glycol (GDS-23). The lipid labeled GDM-12 has saturated 14 acyl chains whereas GDO-12 is characterized by monounsaturated 18 acyl chains, and GDS-23 is composed of saturated 18 acyl chains in their hydrophobic chain. Similarly, GDM-12 and GDO-12 contain 12 units, and GDS-23 contains 23 units of hydrophilic PEG head groups. In contrast to conventional phospholipids, this novel kind of lipid can form liposomes spontaneously upon hydration, without the input of external activation energy. In addition, fluorescence correlation spectroscopy has been utilized to measure the size distribution of such nanoparticles in suspension as well as scanning electron microscopy has been applied for the imaging purposes. Although such PEGylated lipids show a common spectral pattern, important differences in the spectra have been observed, enabling us to distinguish these different lipids on the basis of characteristic features calculated from the spectroscopic band component analysis. Finally, in this study, detailed spectroscopic results due to the vibrational band assignments and band component analysis corresponding to various functional groups for individual nanoparticles have been analyzed and discussed.