NMR Nanoparticle Diffusometry in Hydrogels: Enhancing Sensitivity and Selectivity

Abstract

From the diffusional behavior of nanoparticles in heterogeneous hydrogels, quantitative information about submicron structural features of the polymer matrix can be derived. Pulsed-gradient spin-echo NMR is often the method of choice because it measures diffusion of the whole ensemble of nanoparticles. However, in (1)H diffusion-ordered spectroscopy (DOSY), low-intensity nanoparticle signals have to be separated from a highly protonated background. To circumvent this, we prepared (19)F labeled, PEGylated, water-soluble dendritic nanoparticles with a (19)F loading of ~7 wt % to enable background free (19)F DOSY experiments. (19)F nanoparticle diffusometry was benchmarked against (1)H diffusion-T2 correlation spectroscopy (DRCOSY), which has a stronger signal separation potential than the commonly used (1)H DOSY experiment. We used bootstrap data resampling to estimate confidence intervals and stabilize 2D-Laplace inversion of DRCOSY data with high noise levels and artifacts, allowing quantitative diffusometry even at low magnetic field strengths (30 MHz). The employed methods offer significant advantages in terms of sensitivity and selectivity.