Harnessing advanced biotechnology and information technology towards smart manufacture of future foods: a review

• Evolutionary engineering enhances microbial resilience and production efficiency. • Synthetic biology expands foods resources and food components diversity. • ML advances flavor innovation and effectuates precision nutrition. • BT-IT-FT synergy reshapes future food paradigms. Driven by rapid global population growth and evolving consumer demands for high-quality nutrition and enhanced sensory enjoyment, the food industry is advancing towards healthier, more efficient, more sustainable, and more personalized targets. Notably, this transformation is being accelerated by the convergence of advanced biotechnology (BT) and information technology (IT) in food production systems. This review examines pivotal technologies shaping future food systems, highlighting two biotechnological frontiers and two artificial intelligence-driven domains. Specifically, evolutionary engineering enhances microbial resilience and production efficiency while synthetic biology expands the diversity of food sources and enables personalized food ingredient design, both of which advance sustainable food production. Meanwhile, artificial intelligence promotes food flavor innovation by integrating existing knowledge in molecular structure, flavoromics and consumer preferences. Furthermore, insights into gut microbiota, along with the development of omics techniques and wearable biosensors are unlocking attainable solutions for precision nutrition. Collectively, the trilateral convergence of BT, IT and FT (food technology), embodying a harmonious balance, is reshaping the paradigm of future food manufacturing.

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Publication Details

Journal
Journal of Future Foods
Published
2025-11-15
DOI
https://doi.org/10.1016/j.jfutfo.2025.11.007
Primary Topic
Nutrition, Genetics, and Disease
Type
article
Field-Weighted Citation Impact
0.00
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article

Harnessing advanced biotechnology and information technology towards smart manufacture of future foods: a review

Tong Wu, Hong Zeng, H. F. Ni, Yu Pei Tan et al.
Journal of Future Foods
Nutrition, Genetics, and Disease
article

Harnessing advanced biotechnology and information technology towards smart manufacture of future foods: a review

Tong Wu, Hong Zeng, H. F. Ni, Yu Pei Tan, Yanbo Wang, Qiu-Jun Wang
article en

Abstract

• Evolutionary engineering enhances microbial resilience and production efficiency. • Synthetic biology expands foods resources and food components diversity. • ML advances flavor innovation and effectuates precision nutrition. • BT-IT-FT synergy reshapes future food paradigms. Driven by rapid global population growth and evolving consumer demands for high-quality nutrition and enhanced sensory enjoyment, the food industry is advancing towards healthier, more efficient, more sustainable, and more personalized targets. Notably, this transformation is being accelerated by the convergence of advanced biotechnology (BT) and information technology (IT) in food production systems. This review examines pivotal technologies shaping future food systems, highlighting two biotechnological frontiers and two artificial intelligence-driven domains. Specifically, evolutionary engineering enhances microbial resilience and production efficiency while synthetic biology expands the diversity of food sources and enables personalized food ingredient design, both of which advance sustainable food production. Meanwhile, artificial intelligence promotes food flavor innovation by integrating existing knowledge in molecular structure, flavoromics and consumer preferences. Furthermore, insights into gut microbiota, along with the development of omics techniques and wearable biosensors are unlocking attainable solutions for precision nutrition. Collectively, the trilateral convergence of BT, IT and FT (food technology), embodying a harmonious balance, is reshaping the paradigm of future food manufacturing.

Journal of Future FoodsVol. 6(6)
Beijing Technology and Business University (CN)
Openalex Percentile: Top 64%
Nutrition, Genetics, and Disease
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