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

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.

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Publication Details

Journal
Advanced Materials
Published
2025-02-26
DOI
https://doi.org/10.1002/adma.202408282
Citations
9
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
6.15
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article

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

Connie Kong Wai Lee, Yang Xu, Haosong Zhong, Siyu Chen et al.
9 citations
Advanced Materials
Additive Manufacturing and 3D Printing Technologies
6.15
article

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

Connie Kong Wai Lee, Yang Xu, Haosong Zhong, Siyu Chen, Guijun Li, Qiaoyaxiao Yuan, Yee Him Timothy Chan, Wing Yan Poon
article en
9 citations

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.

Advanced MaterialsVol. 37(13)
Hong Kong University of Science and Technology (HK), University of Hong Kong (HK)
Openalex Percentile: Top 4%
Additive Manufacturing and 3D Printing Technologies
6.15
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Advanced 3D Food Printing with Simultaneous Cooking and Generative AI Design — Connie Kong Wai Lee, Yang Xu, et al. · Advanced Materials (2025) | TGRS Research Map | TGRS