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.
Authors
- Skyler R. St. Pierre (ORCID: https://orcid.org/0000-0001-9774-8709)
- Abhijit A. Date (ORCID: https://orcid.org/0000-0001-6617-882X)
- Kevin Linka (ORCID: https://orcid.org/0000-0002-1239-4778)
- Ellen Kuhl (ORCID: https://orcid.org/0000-0002-6283-935X)
- Marc E. Levenston (ORCID: https://orcid.org/0000-0002-3692-7049)
- Divya Adil (ORCID: https://orcid.org/0009-0008-9432-7739)
- Yanav Lall
- María Parra Vallecillo
- Valerie A Pérez Medina (ORCID: https://orcid.org/0000-0001-5985-3161)
- Ethan C. Darwin (ORCID: https://orcid.org/0009-0001-5331-4607)
- Reese A. Dunne
- Magaly C. Aviles
Institutions
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Stanford Medicine (US)
- RWTH Aachen University (DE)
- Stanford University (US)
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
Funders
- National Science Foundation
- Division of Civil, Mechanical and Manufacturing Innovation