Advanced 3D Food Printing with Simultaneous Cooking and Generative AI Design

Kong Wai Lee, Yang Xu, Qiaoyaxiao Yuan, Yee Him Timothy Chan, Wing Yan Poon, Haosong Zhong, Siyu Chen, Guijun Li*

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

6 Citations (Scopus)

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 languageEnglish
Article number2408282
Number of pages13
JournalAdvanced Materials
Volume37
Issue number13
Early online date26 Feb 2025
DOIs
Publication statusPublished - 2 Apr 2025

Bibliographical note

© 2025 The Author(s). Advanced Materials published by Wiley‐VCH GmbH.

Keywords

  • 3D food printing
  • Additive manufacturing
  • Generative AI
  • Laser-induced graphene

Fingerprint

Dive into the research topics of 'Advanced 3D Food Printing with Simultaneous Cooking and Generative AI Design'. Together they form a unique fingerprint.

Cite this