KA Complex Theoretical Approach for Algal Medium Optimization for CO2 Fixation from Flue Gas

An robust algorithm of medium optimization for culturing algae was developed. The algorithm takes into account elemental composition of algae, and chemical composition of non-organic source of carbon (in our case, flue gas). Values of the chemical elements in the medium is achieved in linear programming procedure. Medium composition may change on the base of the chosen objective function, for example biomass maximization or overproduction of desired metabolite. The algorithm was checked by performing real experiments with Chlorella vulgaris and Scenedesmus species in our previous studies (in USA). The results have shown a very good algae growth, when the medium was optimized by using such algorithm. The developed robust algorithm for medium optimization is under continuous verification (in Bulgaria and Brazil) on different algae cultivation processes. The algorithm can be successfully used to design a medium for any bacterial and algae cells with known or unknown physiological requirements for macro- and micro-elements.