Shu Liang
Modeling of Space Crop-Based Dishes for Optimal Nutrient Delivery to Astronauts and Beyond on Earth
Liang, Shu; Rivera-Osorio, Karolina; Burgess, Alexandra J.; Kumssa, Diriba B.; Escribà-Gelonch, Marc; Fisk, Ian; Knowling, Matthew; Stekel, Dov; Hessel, Volker
Authors
Karolina Rivera-Osorio
Alexandra J. Burgess
Dr DIRIBA KUMSSA DIRIBA.KUMSSA1@NOTTINGHAM.AC.UK
Leverhulme Research Fellow
Marc Escribà-Gelonch
Professor IAN FISK IAN.FISK@NOTTINGHAM.AC.UK
Professor of Flavour Science
Matthew Knowling
DOV STEKEL DOV.STEKEL@NOTTINGHAM.AC.UK
Professor of Computational Biology
Volker Hessel
Abstract
Future long-term human exploration of space will need a supply of resources for astronauts, including fresh food from space farms. This means it is necessary to identify combinations of crops that can be successfully grown together and which provide a balanced and palatable diet for astronauts. We used numerical optimization to identify such combinations, using macro- and micronutritional content as constraints, while optimizing water load needed for crop farming. The food constraints considered were based on the recommendations of the National Aeronautics and Space Administration (NASA), considering up to 36 nutrients and 102 crops. We evaluated 10 scenarios (“space dishes”) for daily full-nutrient supply to one astronaut, with four scenarios being vegetarian (crops only) and six being omnivorous (crops and meat). Each scenario was analyzed for the capability of plant growth, including the required planting area and crop growth time and productivity; from the viewpoint of optimizing performance in space. As plants contain both edible and inedible parts and require fertilizer input, respective circularity assessments were made determining the waste generation, degree of recyclability, and overall mass processed, using three common metrics of the circular economy. The space dish identified as optimal was prepared as a salad, to allow judgment on the palatability, i.e., the “space food acceptance,” by a small psychology test. These assessments are essential steps toward feasibility in long-term human space missions, for example, to Mars.
Citation
Liang, S., Rivera-Osorio, K., Burgess, A. J., Kumssa, D. B., Escribà-Gelonch, M., Fisk, I., …Hessel, V. (2024). Modeling of Space Crop-Based Dishes for Optimal Nutrient Delivery to Astronauts and Beyond on Earth. ACS Food Science & Technology, 4(1), 104–117. https://doi.org/10.1021/acsfoodscitech.3c00396
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 16, 2023 |
Online Publication Date | Dec 13, 2023 |
Publication Date | Jan 19, 2024 |
Deposit Date | Apr 11, 2024 |
Publicly Available Date | Dec 14, 2024 |
Journal | ACS Food Science & Technology |
Electronic ISSN | 2692-1944 |
Publisher | American Chemical Society |
Peer Reviewed | Peer Reviewed |
Volume | 4 |
Issue | 1 |
Pages | 104–117 |
DOI | https://doi.org/10.1021/acsfoodscitech.3c00396 |
Keywords | Organic Chemistry, Chemistry (miscellaneous), Food Science, Analytical Chemistry |
Public URL | https://nottingham-repository.worktribe.com/output/28994623 |
Publisher URL | https://pubs.acs.org/doi/10.1021/acsfoodscitech.3c00396 |
Additional Information | This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Food Science and Technology copyright © 2023 American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://pubs.acs.org/doi/10.1021/acsfoodscitech.3c00396 |
Files
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