Fecha de publicación: 19/11/2024 Fuente: Food Processing Stanford engineers are developing an approach to food texture testing that could pave the way for faux meat that could win over meat eaters.

In a paper published in Science of Food, the team demonstrated that a combination of mechanical testing and machine learning can describe food texture with a similarity to human taste testers. The team also found that some plant-based products are already nailing the texture of the meats they’re mimicking.

Ellen Kuhl, professor of mechanical engineering and senior author of the study said: “We were surprised to find that today’s plant-based products can reproduce the whole texture spectrum of animal meats.”

“People love meat,” said Skyler St. Pierre, a PhD student in mechanical engineering and lead author of the paper. “If we want to convince the hardcore meat eaters that alternatives are worth trying, the closer we can mimic animal meat with plant-based products, the more likely people might be open to trying something new.”

To successfully mimic animal meat, food scientists analyse the texture of plant-based meat products.

“Unfortunately, traditional food testing methods are not standardised and the results are rarely made available to science and to the public,” said St. Pierre.

New food texture tests

The research grew out of a class project by St. Pierre. Looking for affordable materials to use in mechanical tests, he turned to hot dogs and tofu. Over the summer of 2023, undergraduate researchers joined in to test the foods and learn how engineers depict material responses to stress, loading, and stretching.

Realising how this work could aid the development of plant-based meats, the Stanford team debuted a three-dimensional food test. They put eight products to the test: animal and plant-based hot dog, animal and plant-based sausage, animal and plant-based turkey, and extra firm and firm tofu. They mounted bits of meat into a machine that pulled, pushed, and sheared on the samples.

“These three loading modes represent what you do when you chew,” said Kuhl.

Then, they used machine learning to process the data from these tests. They designed a new type of neural network that takes the raw data from the tests and produces equations that explain the properties of the meats.

To see if these equations can explain the perception of texture, the team carried out a test survey.

The testers — who first completed surveys on their openness to new foods and their attachment to meat — ate samples of the eight products and rated them on 5-point scale for 12 categories: soft, hard, brittle, chewy, gummy, viscous, springy, sticky, fibrous, fatty, moist, and meat-like.

Impressive hot dogs and sausages

In the mechanical testing, the plant-based hot dog and sausage behaved very similarly in the pulling, pushing, and shear tests to their animal counterparts, and showed similar stiffnesses.

Meanwhile, the plant-based turkey was twice as stiff as animal turkey, and the tofu was much softer than the meat products. The human testers also ranked the stiffness of the hot dogs and sausages very similarly to the mechanical tests.

“What’s really cool is that the ranking of the people was almost identical to the ranking of the machine,” said Kuhl.

“That’s great because now we can use the machine to have a quantitative, very reproducible test.”

The findings suggest that new, data-driven methods hold promise for speeding up the process of developing tasty plant-based products.

“Instead of using a trial-and-error approach to improve the texture of plant-based meat, we could envision using generative artificial intelligence to scientifically generate recipes for plant-based meat products with precisely desired properties,” the authors wrote in the paper.

But artificial intelligence recipe development, like other AIs, needs lots of data. That’s why the team is sharing their data online, making it open for other researchers to view and add to.

“Historically, some researchers, and especially companies, don’t share their data and that’s a really big barrier to innovation,” said St. Pierre. Without sharing information and working together, he added, “How are we going to come up with a steak mimic together?”

The team is continuing to test foods and build a public database. This summer, St. Pierre oversaw undergraduates testing veggie and meat deli slices. The researchers also plan to test engineered fungi developed by Vayu Hill-Maini, who recently joined Stanford as an assistant professor of bioengineering. “If anybody has an artificial or a plant-based meat they want to test,” said Kuhl, “we’re so happy to test it to see how it stacks up.”

Read the full findings here.

Image credit: Kurt Hickman/Stanford University.