ArticleMagnetic resonance in chemistry : MRC2026
From Power-Law to Correlation-Time Distributions: A Unified Framework for the Analysis of Nuclear Magnetic Relaxation Dispersion (NMRD) Profiles of Complex Biological Systems.
Article in Magnetic resonance in chemistry : MRC, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
A recurring and significant finding across diverse biological and macromolecular systems is that the frequency dependence of the spin-lattice relaxation rate often cannot be well fitted with a single correlation time but rather follows a power-law function. This power-law dependence is attributed to the dynamics of rare, strongly bound water molecules trapped on rugged macromolecular surfaces, with a Pareto distribution of correlation times. Here, we show that power-law dependences naturally emerge from a broad distribution of correlation times with weighting factors proportional to 1/τ
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