Yates Kevin, Berliner Aaron J, Makrygiorgos Georgios, Kaiyom Farrah, McNulty Matthew J, Khan Imran, Kusuma Paul, Kinlaw Claire, Miron Diogo, Legg Charles, Wilson James, Bugbee Bruce, Mesbah Ali, Arkin Adam P, Nandi Somen, McDonald Karen A
Center for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.
Department of Chemical Engineering, University of California Davis, Davis, CA, USA.
NPJ Microgravity. 2024 Sep 28;10(1):90. doi: 10.1038/s41526-024-00428-x.
Food production and pharmaceutical synthesis are posited as essential biotechnologies for facilitating human exploration beyond Earth. These technologies not only offer critical green space and food agency to astronauts but also promise to minimize mass and volume requirements through scalable, modular agriculture within closed-loop systems, offering an advantage over traditional bring-along strategies. Despite these benefits, the prevalent model for evaluating such systems exhibits significant limitations. It lacks comprehensive inventory and mass balance analyses for crop cultivation and life support, and fails to consider the complexities introduced by cultivating multiple crop varieties, which is crucial for enhancing food diversity and nutritional value. Here we expand space agriculture modeling to account for nitrogen dependence across an array of crops and demonstrate our model with experimental fitting of parameters. By adding nitrogen limitations, an extended model can account for potential interruptions in feedstock supply. Furthermore, sensitivity analysis was used to distill key consequential parameters that may be the focus of future experimental efforts.
食品生产和药物合成被认为是促进人类进行地外探索的重要生物技术。这些技术不仅为宇航员提供了至关重要的绿色空间和食物供应,还有望通过闭环系统内可扩展的模块化农业,将质量和体积需求降至最低,相比传统的携带策略具有优势。尽管有这些好处,但评估此类系统的普遍模式存在显著局限性。它缺乏对作物种植和生命支持的全面清单及质量平衡分析,也没有考虑种植多种作物品种所带来的复杂性,而这对于提高食物多样性和营养价值至关重要。在此,我们扩展了太空农业模型,以考虑一系列作物对氮的依赖性,并通过参数的实验拟合来展示我们的模型。通过加入氮限制,扩展模型可以考虑原料供应中可能出现的中断情况。此外,敏感性分析用于提炼出可能成为未来实验重点的关键结果参数。