The mechanical and sensory signature of plant-based and animal meat

Eating less meat is associated with a healthier body and planet. Yet, we remain reluctant to switch to a plant-based diet, largely due to the sensory experience of plant-based meat. Food scientists characterize meat using a double compression test, which only probes one-dimensional behavior. Here we use tension, compression, and shear tests-combined with constitutive neural networks-to automatically discover the behavior of eight plant-based and animal meats across the entire three-dimensional spectrum. We find that plant-based sausage and hotdog, with stiffnesses of 95.9 ± 14.1 kPa and 38.7 ± 3.0 kPa, successfully mimic their animal counterparts, with 63.5 ± 45.7 kPa and 44.3 ± 13.2 kPa, while tofurky is twice as stiff, and tofu is twice as soft. Strikingly, a complementary food tasting survey produces in nearly identical stiffness rankings for all eight products (ρ = 0.833, p = 0.015). Probing the fully three-dimensional signature of meats is critical to understand subtle differences in texture that may result in a different perception of taste. Our data and code are freely available at https://github.com/LivingMatterLab/CANN.

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Publication Details

Journal
npj Science of Food
Published
2024-11-15
DOI
https://doi.org/10.1038/s41538-024-00330-6
Citations
19
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
8.72

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article

The mechanical and sensory signature of plant-based and animal meat

Skyler R. St. Pierre, Abhijit A. Date, Kevin Linka, Ellen Kuhl et al.
19 citations
npj Science of Food
Agriculture Sustainability and Environmental Impact
8.72
article

The mechanical and sensory signature of plant-based and animal meat

Skyler R. St. Pierre, Abhijit A. Date, Kevin Linka, Ellen Kuhl, Marc E. Levenston, Divya Adil, Yanav Lall, María Parra Vallecillo, Valerie A Pérez Medina, Ethan C. Darwin, Reese A. Dunne, Magaly C. Aviles
article en
19 citations

Abstract

Eating less meat is associated with a healthier body and planet. Yet, we remain reluctant to switch to a plant-based diet, largely due to the sensory experience of plant-based meat. Food scientists characterize meat using a double compression test, which only probes one-dimensional behavior. Here we use tension, compression, and shear tests-combined with constitutive neural networks-to automatically discover the behavior of eight plant-based and animal meats across the entire three-dimensional spectrum. We find that plant-based sausage and hotdog, with stiffnesses of 95.9 ± 14.1 kPa and 38.7 ± 3.0 kPa, successfully mimic their animal counterparts, with 63.5 ± 45.7 kPa and 44.3 ± 13.2 kPa, while tofurky is twice as stiff, and tofu is twice as soft. Strikingly, a complementary food tasting survey produces in nearly identical stiffness rankings for all eight products (ρ = 0.833, p = 0.015). Probing the fully three-dimensional signature of meats is critical to understand subtle differences in texture that may result in a different perception of taste. Our data and code are freely available at https://github.com/LivingMatterLab/CANN.

npj Science of FoodVol. 8(1)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Stanford Medicine (US), RWTH Aachen University (DE), Stanford University (US)
National Science Foundation, Division of Civil, Mechanical and Manufacturing Innovation
Zero hunger
Openalex Percentile: Top 2%
Agriculture Sustainability and Environmental Impact
8.72
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