从银行到生物工厂:高通量技术和自动化工作流程,以加速生物制造
Christopher J Petzold1, Aindrila Mukhopadhyay2
1Biological Systems & Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Joint BioEnergy Institute, 5885 Hollis Street, Emeryville, CA, USA; Agile BioFoundry, 5885 Hollis Street, Emeryville, CA, USA.
Current opinion in biotechnology
|June 12, 2025
概括
微生物生产的进步需要探索广泛的优化参数. 自动化,AI/ML和数据管理是加速基于生物的解决方案和扩展工程微生物用于各种产品的关键.
科学领域:
- 合成生物学和代谢工程用于生物化学生产.
背景情况:
- 最近在酶工程,DNA合成和基因组编辑方面的创新使微生物生产进步.
- 在优化生物基工艺以实现可持续生物经济方面,存在着巨大的未开发潜力.
研究的目的:
- 审查微生物生产技术的现状.
- 确定关键挑战,并为优化生物基过程提出解决方案.
- 突出新兴技术在加速工程微生物发展中的作用.
主要方法:
- 审查当前的文献和微生物生产的技术进步.
- 对优化生物基过程参数空间的挑战进行分析.
- 讨论启用技术,如自动化,高通量选和数据管理.
主要成果:
- 微生物生产的巨大参数空间需要进行广泛的研究以优化.
- 自动化,高通量技术和云实验室对于探索这个空间至关重要.
- 人工智能/机器学习 (AI/ML) 和机械模型对于克服设计挑战至关重要.
结论:
- 将AI/ML和机械模型与先进的自动化和数据管理集成至关重要.
- 这些综合方法将加速工程微生物的开发和扩展.
- 这种加速对于实现强大的生物经济和生产多样化的生物制品至关重要.
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