Suppr超能文献

可持续生物制造:从生物打印到人工智能驱动的预测方法。

Sustainable biofabrication: from bioprinting to AI-driven predictive methods.

作者信息

Filippi Miriam, Mekkattu Manuel, Katzschmann Robert K

机构信息

Soft Robotics Laboratory, ETH Zurich, Tannenstrasse 3, Zurich, 8092, Switzerland.

Soft Robotics Laboratory, ETH Zurich, Tannenstrasse 3, Zurich, 8092, Switzerland.

出版信息

Trends Biotechnol. 2025 Feb;43(2):290-303. doi: 10.1016/j.tibtech.2024.07.002. Epub 2024 Jul 27.

Abstract

Biofabrication is potentially an inherently sustainable manufacturing process of bio-hybrid systems based on biomaterials embedded with cell communities. These bio-hybrids promise to augment the sustainability of various human activities, ranging from tissue engineering and robotics to civil engineering and ecology. However, as routine biofabrication practices are laborious and energetically disadvantageous, our society must refine production and validation processes in biomanufacturing. This opinion highlights the research trends in sustainable material selection and biofabrication techniques. By modeling complex biosystems, the computational prediction will allow biofabrication to shift from an error-trial method to an efficient, target-optimized approach with minimized resource and energy consumption. We envision that implementing bionomic rationality in biofabrication will render bio-hybrid products fruitful for greening human activities.

摘要

生物制造有可能成为一种基于嵌入细胞群落的生物材料的生物杂交系统的内在可持续制造过程。这些生物杂交体有望增强从组织工程、机器人技术到土木工程和生态学等各种人类活动的可持续性。然而,由于常规的生物制造实践既费力又在能源方面不利,我们的社会必须改进生物制造中的生产和验证过程。本观点强调了可持续材料选择和生物制造技术方面的研究趋势。通过对复杂生物系统进行建模,计算预测将使生物制造从一种试错方法转变为一种资源和能源消耗最小化的高效、目标优化方法。我们设想,在生物制造中实施生态理性将使生物杂交产品在绿化人类活动方面卓有成效。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验