The effect of rough surfaces on Nuclear Magnetic Resonance relaxation experiments

TL;DR

This paper investigates how surface roughness significantly influences NMR T2 relaxation spectra, revealing that rough surfaces increase effective relaxivity and invalidate traditional geometric assumptions in pore size analysis.

Contribution

It introduces a homogenization approach showing that surface roughness can greatly enhance relaxivity, challenging standard models assuming ideal smooth geometries.

Findings

Surface roughness increases effective relaxivity.

Standard geometric assumptions may be invalid for rough surfaces.

Relaxivity depends on roughness width and depth, not shape.

Abstract

Most theoretical treatments of Nuclear Magnetic Resonance (NMR) assume ideal smooth geometries (i.e. slabs, spheres or cylinders) with well-defined surface-to-volume ratios (S/V). This same assumption is commonly adopted for naturally occurring materials, where the pore geometry can differ substantially from these ideal shapes. In this paper the effect of surface roughness on the T2 relaxation spectrum is studied. By homogenization of the problem using an electrostatic approach it is found that the effective surface relaxivity can increase dramatically in the presence of rough surfaces. This leads to a situation where the system responds as a smooth pore, but with significantly increased surface relaxivity. As a result: the standard approach of assuming an idealized geometry with known surface-to-volume and inverting the T2 relaxation spectrum to a pore size distribution is no longer valid. The effective relaxivity is found to be fairly insensitive to the shape of roughness but strongly dependent on the width and depth of the surface topology.