Using in vitro models is a widely used strategy in biology; the idea is to reduce the experimental conditions to achieve controlled models of the effects studied. An already proposed methodology for artificial rivers was used by Parodi et al. 2015. In our study, we proposed the development of an in vitro model to study the space bottom under an aquaculture farm in the ocean. In our model, we made observations of bacteria load and dissolved oxygen concentration, which will mainly be obtained in addition to other physicochemical parameters. A controlled sample of the bottom for the volume of artificial bottoms will be seeded and studied regarding biological parameters, ecotoxicological response against biosensors, and measurement of physicochemical parameters. Our results show a relation between bacterial present oxygen concentration and help us find a table for estimating the time and concentration of the oxygen required to recover the samples from the bottom. We have generated a baseline model to determine the alterations to the seabed and used it to diagnose the anoxic status of the bottom. Having this baseline, we used samples from problem bottoms, measured initial values, and applied aeration models to increase dissolved oxygen. We observed a linear relationship between the concentration of bacteria in the water column and at the bottom. With this, we now offer the service of bottom diagnostics, adjusting the oxygen doses applied in the water column. These results help to form more efficient management of the recovery of the bottom see under farm cages in aquaculture production.
Keywords
Remediation, sea bottom; Production