Research conducted by the Massachusetts Institute of Technology Computer Science & Artificial Intelligence Laboratory's Human-Computer Interface Engineering group established a method for three-dimensionally (3D)-printing food that makes diners feel more satiated while eating less.
The researchers employed a 3D printer upgraded with a nozzle that extrudes raw food rather than melted plastic, to manufacture oven-ready edible items with internal designs of varying structure and density.
Tests showed that altering the infill of a food item, which yields changes in density and overall size after baking, impacts how a diner perceives their levels of hunger and satiation after eating.
The researchers used those findings to develop computational models and an end-to-end system called FoodFab, which automatically tailors food items based on a user's preferences or requirements.
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Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA
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