Avaliação do rendimento de biomassa e lipídeos empregando diferentes regimes de cultivo em Scenedesmus sp.

Abstract

The use of renewable sources for biofuel production has been growing every day in the world, this intense search is mainly in environmental problems associated with the burning of fossil fuels. The depletion of these sources, such as oil and coal, has spurred new research into fuels derived from renewable sources. Many microalgae can be used as promising raw material for biodiesel production due to their high growth rates and also high lipid levels, as well as their high growth capacity in different environments. Thus, the work aims to cultivate a microalgae Scenedesmus sp., In different cultivation regimes and optimize as the best conditions for the production of bio-oil of this specific type of microalgae. It is relevant to analyze these data that will be researched, because microalgae is a great potential for biofuel production. Thus, submitted as colonies of Scenedesmus sp. an increase in lipid production that optimizes or recovers and culture media may increase the potential of microalgae in biodiesel production. As microalgae they were cultivated with different cultivation regimes as medium, luminosity, reactor, aeration and batch cultivation time. After cultivation they were performed as oil extractions from each reactor or Folch method. After performing the 25-1 factorial design and the central composite design, the best responses were initiated by changing the most important variables in the process: horizontal reactor, with Chu culture medium, maximum light intensity, ie, three measurements of the “Daylight” type, with 30 days of cultivation, endowed with aeration, without added vitamins and temperature control. From the statistical tools of the effects aeration, luminosity and tempo, medium and luminosity, it was detected a greater influence on the production of lipids in relation to the other effects of the factorial design. Regarding the optimization of Zn and Mn, use ZnSO4.7H2O as a source of zinc and MnCl2.4H2O as a diagnostic source since both act on the lipid metabolic pathway. After optimizing 130% ZnSO4.7H2O values, it was the most effective resulting in 10.19% lipid content.