Evidence map›Paper›PMID 42857158›Full record

ArticleCurrent research in food science2026

Predicting the compression mechanical properties of muscle from microscale indentation mechanics using multiscale mechanical models.

Chenyu Zhao, Ruisheng Jiang, Zihao Zhang, Junji Jia, Katsuyoshi Nishinari, Nan Yang

Abstract read
In one paragraph

Article in Current research in food science, 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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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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

6 authors.

Chenyu ZhaoGlyn O. Phillips Hydrocolloid Research Centre, 111 Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Food Hydrocolloid International Science and Technology Cooperation Base of Hubei Province, School of Life Sciences and Health Engineering, Hubei University of Technology, Wuhan, 430068, China.
Ruisheng JiangGlyn O. Phillips Hydrocolloid Research Centre, 111 Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Food Hydrocolloid International Science and Technology Cooperation Base of Hubei Province, School of Life Sciences and Health Engineering, Hubei University of Technology, Wuhan, 430068, China.
Zihao ZhangGlyn O. Phillips Hydrocolloid Research Centre, 111 Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Food Hydrocolloid International Science and Technology Cooperation Base of Hubei Province, School of Life Sciences and Health Engineering, Hubei University of Technology, Wuhan, 430068, China.
Junji JiaSchool of Physics and Technology, Wuhan University, Wuhan, 430072, China.
Katsuyoshi NishinariGlyn O. Phillips Hydrocolloid Research Centre, 111 Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Food Hydrocolloid International Science and Technology Cooperation Base of Hubei Province, School of Life Sciences and Health Engineering, Hubei University of Technology, Wuhan, 430068, China.
Nan YangGlyn O. Phillips Hydrocolloid Research Centre, 111 Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Food Hydrocolloid International Science and Technology Cooperation Base of Hubei Province, School of Life Sciences and Health Engineering, Hubei University of Technology, Wuhan, 430068, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The texture properties of muscles are determined by the organization and interactions of their hierarchical structures. This study aims to establish a mechanical model from micro-to macro-scales to predict and explain the compressive mechanical properties of muscles. The nanomechanical properties of myofibrils, endomysium, and perimysium of different meats were first measured by atomic force microscopy (AFM). Using these data as input, a two-level analytical model from the myofibril-endomysial scale to the fiber-perimysium scale, adopting a simplified multi-component series model (Reuss model), was constructed to predict the transverse compression modulus of a single muscle fiber and that of a muscle fiber bundle. On the macroscale, two constitutive models (a combined logarithmic-polynomial model and a novel logistic model) were used to fit the stress-strain curves of muscle samples from transverse compression measurements. The correlation between the predicted modulus from the analytical model and the compression mechanical parameters obtained by the constitutive models were analyzed, revealing the relationship between macroscopic muscle mechanics and the mechanical properties of microscopic components. The results indicate that the linear mechanical properties of macroscopic muscles are primarily associated with the transverse modulus of myofibrils, and that the transition from linear to nonlinear mechanics is jointly influenced by myofibrils and connective tissues (endomysium and perimysium), while the nonlinear response is mainly associated with the incremental strain-stiffening behavior of the connective tissue. This study provides a quantitative mechanical basis for understanding the microstructural origins of muscle tissue texture.

Indexed as

Atomic force microscopyConstitutive modelMulti-scale modelingMuscle fibersMuscle texture

Identifiers

PMID42857158
PMCPMC13651572

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