可持续生物制造:从生物打印到人工智能驱动的预测方法
Miriam Filippi1, Manuel Mekkattu1, Robert K Katzschmann1
1Soft Robotics Laboratory, ETH Zurich, Tannenstrasse 3, Zurich, 8092, Switzerland.
Trends in biotechnology
|July 28, 2024
概括
生物制造使用生物材料和细胞进行可持续制造. 通过计算建模优化这一过程,可以最大限度地减少资源使用,并增强其绿色应用.
科学领域:
- 生物技术和可持续制造业的发展
背景情况:
- 生物制造为生物混合系统提供了一种可持续的制造方法.
- 目前的生物制造方法通常是劳动密集型和能源效率低下的.
- 生物混合系统在诸如组织工程,机器人学和生态学等多个领域都有潜在的应用.
研究的目的:
- 突出生物制造可持续材料选择的研究趋势.
- 讨论生物制造技术的进步,以提高效率.
- 探索计算建模在优化生物制造过程中的作用.
主要方法:
- 对生物制造可持续材料的当前研究趋势的审查.
- 对新兴生物制造技术的分析.
- 讨论生物系统的计算建模方法.
- 在生物制造中探索"生物学理性".
主要成果:
- 确定可持续材料采购和生物制造方法的关键研究方向.
- 强调计算预测的潜力,使生物制造从试错转向优化生产.
- 突出了对精细生产和验证流程的需求.
结论:
- 实施可持续材料选择和先进的生物制造技术至关重要.
- 计算建模可以带来高效,目标优化的生物制造,减少资源和能源消耗.
- 在生物制造中采用"生物学理性"可以大大促进人类活动的绿化.
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