Evidence map›Paper›PMID 42883241›Full record

ReviewMolecules (Basel, Switzerland)2026

Beyond Moisture Content: Time-Domain NMR for Quantifying Molecular Mobility, Water Accessibility and Food Function.

Zeev Wiesman

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Zeev WiesmanPhyto-Lipid Biotechnology Laboratory (PLBL), Department of Biotechnology Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Moisture content is among the most routinely measured properties of foods, yet water quantity alone does not determine processing behavior, stability, texture, fluid release or sensory function. In heterogeneous food matrices, water occupies environments differing in molecular restriction, compartmentalization, exchange, connectivity and translational mobility. Time-domain nuclear magnetic resonance (TD-NMR) provides a rapid and non-destructive means of interrogating these properties through proton signal intensity, longitudinal and transverse relaxation, relaxation-time distributions, self-diffusion and multidimensional correlation measurements. This review develops a framework extending food-water analysis from quantity to molecular state, mobility, translational accessibility and function. Particular emphasis is placed on distinguishing local molecular environments reflected by relaxation from longer-range molecular displacement characterized by diffusion. Applications in meat, plant-based foods, dairy systems, cereals, gels, frozen and dried foods, and edible oils illustrate how TD-NMR descriptors can be connected with water holding, texture, juiciness, processing behavior, oxidation and shelf life. Integration with structural imaging, mechanical measurements, chemometrics and machine learning further positions TD-NMR as a molecular-state sensing platform for predictive food analysis, product design and intelligent manufacturing.

Indexed as

Food AnalysisWaterMagnetic Resonance SpectroscopyWaterfood qualityfood structurelow-field NMRmolecular dynamicsself-diffusionT1T2time-domain NMRwater accessibilitywater mobility

Identifiers

PMID42883241
PMCPMC13666914

What OpenQuestion holds

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Registered trials

None linked

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.