Sustainable biofabrication: from bioprinting to AI-driven predictive methods

被引:4
作者
Filippi, Miriam [1 ]
Mekkattu, Manuel [1 ]
Katzschmann, Robert K. [1 ]
机构
[1] Swiss Fed Inst Technol, Soft Robot Lab, Tannenstr 3, CH-8092 Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
TISSUE; BIOMATERIALS; MODEL;
D O I
10.1016/j.tibtech.2024.07.002
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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.
引用
收藏
页码:290 / 303
页数:14
相关论文
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