# Correlating Molecular and Textural Properties of Raw Soy‐Based and Beef Burgers Using TD‐NMR and TPA

**Authors:** Moshe Hai Azachi, Zeev Wiesman

PMC · DOI: 10.1111/1750-3841.70839 · Journal of Food Science · 2026-01-09

## TL;DR

This study compares the texture and molecular properties of soy-based and beef burgers using advanced techniques to improve plant-based meat alternatives.

## Contribution

The paper introduces an integrated TD-NMR and TPA framework to link molecular water dynamics with texture in plant-based and beef burgers.

## Key findings

- Beef burgers showed higher water and lipid mobility compared to soy-based burgers.
- Beef exhibited greater hardness, cohesiveness, and chewiness due to its dense fibrous structure.
- NMR parameters strongly correlated with texture metrics, revealing molecular-textural relationships.

## Abstract

The accelerating demand for plant‐based meat alternatives necessitates advanced analytical approaches capable of characterizing and optimizing texture—a key determinant of consumer acceptance. This study develops an integrated framework combining time‐domain nuclear magnetic resonance (TD‐NMR) and texture profile analysis (TPA) to elucidate the molecular, structural, and mechanical differences between soy‐based plant‐based meat analogue (PBMA) burgers and conventional Black Angus beef burgers. Gravimetric and centrifugal assays showed that Angus beef possessed higher total water content and a greater proportion of free and loosely bound water than Soy‐PBMA, reflecting stronger water–protein associations in the myofibrillar muscle matrix. TD‐NMR relaxation and self‐diffusion analyses further demonstrated longer T1
/T2
 components and higher diffusion coefficients in beef, indicating enhanced water and lipid mobility, improved phase dispersion, and a more cohesive intracellular structure. These molecular features were consistent with TPA results, in which beef exhibited significantly higher hardness, cohesiveness, springiness, and chewiness, reflecting its dense fibrous architecture. Pearson correlation analysis revealed strong associations between NMR parameters and TPA metrics, establishing a mechanistic linkage between water mobility, matrix confinement, and macroscopic texture behavior. Complementary cryo‐scanning electron microscopy (Cryo‐SEM) imaging visualized these structural contrasts, showing tightly aligned muscle fibers and well‐integrated fat globules in beef versus a porous, heterogeneous protein–starch–lipid network in Soy‐PBMA. Together, these findings demonstrate that the integrated TD‐NMR–TPA approach provides a powerful, non‐destructive tool for connecting molecular‐scale water dynamics with functional textural properties. This framework offers a predictive foundation for improving formulation, processing, and quality control in next‐generation plant‐based burgers.

## Full-text entities

- **Chemicals:** lipid (MESH:D008055), Soy-PBMA (-), starch (MESH:D013213), water (MESH:D014867)

## Full text

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## Figures

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## References

39 references — full list in the complete paper: https://tomesphere.com/paper/PMC12785494/full.md

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Source: https://tomesphere.com/paper/PMC12785494