The MELiSSA project (Micro-Ecological Life Support System Alternative) of the European Space Agency is an artificial ecosystem conceived as a tool to study and develop technology for a future biological life support system required for long term manned space missions. The fact that the MELiSSA project is formed by several independent organizations of different countries made possible that part of the experimental work of this thesis was carried out in the MELiSSA Pilot Plant (MPP) located at Universitat Autònoma de Barcelona (Spain) and the Controlled Environmental Systems Research Facility located at University of Guelph (Canada). Based on the principle of an aquatic ecosystem, MELiSSA aims to produce food, fresh water and oxygen from organic wastes (inedible biomass, faeces, urine and CO2) using the combined activity of several microorganisms and higher plants, which colonize five interconnected compartments. The main contribution of this thesis is in the engineering of the photosynthetic compartments and their integration into MPP. Particularly, the work has been structured in the following three main units. I - Arthrospira Compartment: Several continuous cultures have been carried out at different dilution rates and light intensities, planned using a Box-Wilson Central Composite Design, to determine the operational limits and maximum productivity of Arthrospira pilot plant photobioreactor. The highest Arthrospira productivity attained is 27 mg·L-1·h-1 at a dilution rate of 0.044 h-1 and a light intensity of 194 W·m-2. Disturbances of normal operating conditions affecting pH, liquid and gas flow rate influence Arthrospira growth has been studied. The effect of ammonium on Arthrospira production and composition has been evaluated in detail and it is determined that to avoid inhibition of the Arthrospira growth, the steady-state ammonium concentration must be lower than 5.6 mM. II - Higher Plant Compartment: Three batch and two staggered cultures in sealed environment chambers have been performed to collect baseline data of productivity, tissue composition, nutrient uptake and canopy photosynthesis from beet and lettuce trials. The mean total plant productivity among batch and staggered cultures is 15.31 g dw·m-2·d-1 for beet and 13.85 g dw·m-2·d-1 for lettuce. The net carbon exchange rate technique is a good alternative to classical growth analysis for estimating plant growth and production inside the chamber without using destructive analyses. In addition to this, the ionic uptake of the nutrient solution has been proven to be a good predictor of total canopy mineral content using the estimated biomass. Moreover, the photosynthetic study performed at leaf level has contributed to estimates of light energy related parameters for the canopy model. The rectangular hyperbola model is suitable in defining the leaf photosynthetic response to light at different CO2 levels and crop ages. No significant differences are detected for the quantum yield (?) and dark respiration rate (Rd) among CO2 levels, but in contrast, the maximum photosynthetic rate (Pmax) was found to depend on CO2 concentration. Moreover, it is observed that that ?, Pmax and Rd values remain constant through crop development. III - Photosynthetic Compartments Integration: The HPC prototype to be integrated into the MPP has been designed. It is concluded that 3 HPC prototypes with 5 m2 of growing area each, will be constructed to provide 20% of the daily crew diet with beet, lettuce and wheat. The selected configuration, an elongated chamber with two air-locks at each end, allows the semi-continuous biomass production while ensuring gas environment isolation. Finally, the impact of the integration of the photosynthetic compartments into the MPP has been evaluated using a static mass balance model for assessing the nitrogen, CO2 and O2 balances, while determining the conditions under which the closure of the mass balances can be expected.
Engineering photosynthetic systems for bioregenerative life support
Masot Mata, A. (Author). 28 Jun 2007
Student thesis: Doctoral thesis
Student thesis: Doctoral thesis