Abstract
3D food printing is an indispensable technology for emerging food technologies. However, conventional nonconcurrent postprocessing methods limit the final food quality, including the unappealing nature of food ink modification, imperfections in retaining the desired food shape, and the risk of microbial contamination. Here, an artificial intelligence (AI)-enhanced solution is developed to achieve extrusion-based printing with simultaneous infrared heating, enabling in-line and rapid cooking of complex starch-based food. Noncontact graphene heaters as cooking sources present outstanding food quality control with microbial studies, microstructure analysis, and heat transfer simulation models. This integrative 3D food printing method with AI-enhanced food pattern generation and in-situ cooking significantly expands the applications for customized food creation. It paves the way for the broader adoption of heating-based 3D printing of functional materials.
| Original language | English |
|---|---|
| Article number | 2408282 |
| Pages (from-to) | 1-13 |
| Number of pages | 13 |
| Journal | Advanced Materials |
| Volume | 37 |
| Issue number | 13 |
| Early online date | 26 Feb 2025 |
| DOIs | |
| Publication status | Published - 2 Apr 2025 |
Bibliographical note
© 2025 The Author(s). Advanced Materials published by Wiley‐VCH GmbH.UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- 3D food printing
- Additive manufacturing
- Generative AI
- Laser-induced graphene
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