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

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 T<sub>1</sub>/T<sub>2</sub> 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.

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Publication Details

Journal
Journal of Food Science
Published
2026-01-01
DOI
https://doi.org/10.1111/1750-3841.70839
Primary Topic
Meat and Animal Product Quality
Type
article
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article

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

Zeev Wiesman, Moshe Hai Azachi
Journal of Food Science
Meat and Animal Product Quality
article

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

Zeev Wiesman, Moshe Hai Azachi
article en

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 T<sub>1</sub>/T<sub>2</sub> 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.

Journal of Food ScienceVol. 91(1)
Ben-Gurion University of the Negev (IL)
Clean water and sanitation
Openalex Percentile: Top 92%
Meat and Animal Product Quality
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Correlating Molecular and Textural Properties of Raw Soy‐Based and Beef Burgers Using TD‐NMR and TPA — Zeev Wiesman, Moshe Hai Azachi · Journal of Food Science (2026) | TGRS Research Map | TGRS