Evidence map›Paper›PMID 40537917›Full record

ArticleMagnetic resonance in chemistry : MRC2025

NMR Relaxometry Across Time: From Early Insights to Emerging Directions.

Pellegrino Conte, David Faux, Anne-Laure Rollet, Delia Chillura Martino, Danuta Kruk, Gianni Ferrante, Paolo Lo Meo

Abstract read
In one paragraph

Article in Magnetic resonance in chemistry : MRC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. NMR-Based Quantification of Collagen Content in Protein Hydrolysates.Journal of agricultural and food chemistry · 2026
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Pellegrino ConteDepartment of Agriculture, Food and Forest Sciences, University of Palermo, Palermo, Italy.ORCID https://orcid.org/0000-0002-2211-1225
David FauxPhysics Department, University of Surrey, Surrey, UK.ORCID https://orcid.org/0000-0002-1903-2374
Anne-Laure RolletLaboratoire PHENIX (UMR 8234-CNRS/UPMC), Paris, France.ORCID https://orcid.org/0000-0001-6150-768X
Delia Chillura MartinoDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies, University of Palermo, Palermo, Italy.
Danuta KrukDepartment of Physics and Biophysics, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.ORCID https://orcid.org/0000-0003-3083-9395
Gianni FerranteStelar Srl., Via Enrico Fermi 4, Mede, Italy.
Paolo Lo MeoDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies, University of Palermo, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear magnetic resonance (NMR) relaxometry has evolved from early theoretical insights into a dynamic and versatile analytical technique capable of probing molecular and ionic motion across diverse fields. Rooted in the foundational work by many different scientists (e.g., Bloch, Purcell, Torrey, Hahn, Bloembergen, Pound, and Solomon, just to name a few), relaxometry has progressed through pivotal advancements such as Redfield's theory and the development of time-domain (TD) and fast field-cycling (FFC) methodologies. While the former enables rapid, low-cost analysis of relaxation time distributions, widely applied in soft matter and quality control, the latter provides frequency-resolved nuclear magnetic resonance dispersion (NMRD) profiles that capture dynamic processes across multiple timescales, revealing deeper insights into molecular interactions in heterogeneous systems. Recent innovations in instrumentation have expanded the applicability of relaxometry. Moreover, its integration with modalities such as diffusimetry and imaging has opened new routes for spatially resolved and multimodal analyses. Applications now span materials science, biomedicine, and environmental studies. In polymers and porous media, relaxometry reveals segmental dynamics and surface interactions; in biological tissues, NMRD profiles differentiate healthy from pathological states, offering diagnostic potential. Emerging applications include contrast agent development, soil hydration analysis, microplastic detection, and wastewater monitoring. This paper offers a comprehensive overview of the field's historical trajectory, methodological advancements, and expanding application landscape. Emphasis is placed on the synergy between TD and FFC-NMR approaches and the ongoing transition toward portable, real-time, and multimodal relaxometric systems. NMR relaxometry is poised to become a mainstream tool in diagnostics, materials characterization, and environmental monitoring.

Indexed as

fast field‐cycling NMRmolecular dynamicsmultimodal characterizationNMR relaxometrynuclear magnetic resonance dispersion (NMRD)time‐domain NMR

Identifiers

PMID40537917
PMCPMC12318917

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.