Xia Jianye, Liu Jing, Zhuang Yingping
Smart Biomanufacturing Platform Lab, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.
National Technology Innovation Center of Synthetic Biology, Tianjin 300308, China.
Sheng Wu Gong Cheng Xue Bao. 2022 Nov 25;38(11):4180-4199. doi: 10.13345/j.cjb.220606.
Artificial intelligence (AI) technology is booming up a new industrial revolution, and its successful application is rapidly spreading from the information industry to many other fields. The traditional fermentation industry also faces more opportunities and great challenges for reforming. First of all, the rapid development of synthetic biotechnology has greatly enhanced the availability and efficiency for obtaining high-performance strains, which poses great opportunities to the traditional fermentation optimization and scale-up technology. It is urgent to upgrade fermentation optimization technology to cope with the requirement for high-throughput verification of strain performance. Secondly, the development of fermentation equipment technology has laid a good foundation for advancing fermentation optimization technology. The application of AI technology, especially the digital twin and knowledge graph technology, will further boost the upgrade of the traditional fermentation technology. This review summarizes the challenges of fermentation optimization technology in the era of synthetic biology, the core technology of fermentation optimization and scale-up, the equipment technology of high-throughput fermentation, data visualization technology, as well as the application of digital twin and knowledge graph in fermentation optimization and scale-up. This review also prospects future industrial fermentation technology, and the associated new requirements for personnel training.
人工智能（AI）技术正在掀起一场新的工业革命，其成功应用正迅速从信息产业蔓延到许多其他领域。传统发酵产业在改革方面也面临着更多机遇和巨大挑战。首先，合成生物技术的快速发展极大地提高了获得高性能菌株的可得性和效率，这给传统发酵优化和放大技术带来了巨大机遇。迫切需要升级发酵优化技术，以应对菌株性能高通量验证的要求。其次，发酵设备技术的发展为推进发酵优化技术奠定了良好基础。AI技术的应用，尤其是数字孪生和知识图谱技术，将进一步推动传统发酵技术的升级。本文综述了合成生物学时代发酵优化技术面临的挑战、发酵优化与放大的核心技术、高通量发酵的设备技术、数据可视化技术，以及数字孪生和知识图谱在发酵优化与放大中的应用。本文还对未来工业发酵技术及其对人员培训的相关新要求进行了展望。
