Evidence map›Paper›PMID 40529651›Full record

ArticleCurrent research in food science2025

Biaxial testing and sensory texture evaluation of plant-based and animal deli meat.

Skyler R St Pierre, Lauren Somersille Sibley, Steven Tran, Vy Tran, Ethan C Darwin, Ellen Kuhl

Abstract read
In one paragraph

Article in Current research in food science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The meatball matchup: Plant vs. animal proteins on campus.Food research international (Ottawa, Ont.) · 2026
    Article
  2. Article
  3. Review
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

6 authors.

Skyler R St PierreDepartment of Mechanical Engineering, Stanford University, Stanford, CA, United States.
Lauren Somersille SibleyDepartment of Mechanical Engineering, Stanford University, Stanford, CA, United States.
Steven TranDepartment of Mechanical Engineering, Stanford University, Stanford, CA, United States.
Vy TranDepartment of Mechanical Engineering, Stanford University, Stanford, CA, United States.
Ethan C DarwinDepartment of Mechanical Engineering, Stanford University, Stanford, CA, United States.
Ellen KuhlDepartment of Mechanical Engineering, Stanford University, Stanford, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal agriculture is one of the largest contributors to global carbon emissions. Plant-based meats offer a sustainable alternative to animal meat; yet, people are reluctant to switch their diets and spending habits, in large part due to the taste and texture of plant-based meats. Deli meat is a convenient form of protein commonly used in sandwiches, yet little is known about its material or sensory properties. Here we performed biaxial testing with multiple different stretch ratios of four plant-based and four animal deli meats, fit the neo Hooke and Mooney Rivlin models to the resulting stress-stretch data, and discovered the best constitutive models for all eight products. Strikingly, the plant-based products, turkey, ham, deli, and prosciutto, with stiffnesses of 378 ± 15 kPa, 343 ± 62 kPa, 213 ± 25 kPa, and 113 ± 56 kPa, were more than twice as stiff as their animal counterparts, turkey, chicken, ham, and prosciutto, with 134 ± 46 kPa, 117 ± 17 kPa, 117 ± 21 kPa, and 49 ± 21 kPa. In a complementary sensory texture survey, n = 18 participants were able to correlate the physical stiffness with the sensory brittleness, with Spearman's correlation coefficient of

Indexed as

Biaxial testingMechanics of meatPlant-based meatStiffnessTexture

Identifiers

PMID40529651
PMCPMC12173621

What OpenQuestion holds

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LicenceCC BY
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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.