Departamento de Ingeniería Química, Ambiental y de los Materiales
URI permanente para esta comunidadhttps://hdl.handle.net/10953/42
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Examinando Departamento de Ingeniería Química, Ambiental y de los Materiales por Autor "Acién, Francisco G."
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Ítem Development of a process for the production of L-aminoacids concentrates from microalgae by enzymatic hydrolysis(Elsevier, 2012-02-28) Romero-García, Juan M.; Acién, Francisco G.; Fernández-Sevilla, José M.A process for the production of L-amino-acids concentrates from microalgae biomass by enzymatic hydrolysis has been developed. The process includes pre-treatment for cell-disruption, enzymatic hydro- lysis and final separation by centrifugation. Thermal and mechanical cell-disruption methods have been tested, selecting mechanical disruption using bead milling for 30 min. The enzymatic hydrolysis was done using the commercial enzymes Alcalase and Flavourzyme. Maximum hydrolysis was obtained for biomass concentrations under 270 g/l and previous additional treatment with Viscozyme, reaching a 42% hydrolysis. Repeated reaction steps increased the hydrolysis from 42% (4 h) with a single step to 59% (8 h) after two successive steps. Further increase of the number of steps had a meagre impact on the global yield. The process widens the portfolio of products that can be obtained from microalgae bio- mass and is a new possibility to enhance the economic viability of microalgae-based biofuels production processes.Ítem Filtered Smith Predictor to control pH during enzymatic hydrolysis of microalgae to produce L-aminoacids concentrates(Elsevier, 2012-07-23) Romero-García, Juan M.; Guzmán, José L.; Moreno, José C.; Acién, Francisco G.; Fernández-Sevilla, José M.The main step of the production of L-aminoacids concentrates from microalgae is the enzymatic hydrolysis. This process has to be done at the optimum temperature and pH of the enzyme in order to obtain the maximum yield. In order to keep a constant pH, NaOH (1 M) or H2SO4 (1 M) are used, depending on the reaction step. When working with pH it is not possible to use the governing equations due to the complexity of the enzymatic hydrolysis. In this work, the modelling of pH is experimentally performed on a laboratory scale plant. Since the obtained model presents delay and uncertainty in the parameters, a Filtered Smith Predictor is proposed as control strategy. This control scheme has been tested in the real system. The Filtered Smith Predictor has reduced the Integral Absolute Error and the time for the solution addition in more than 25% and it has increased 5% the production of L-aminoacids compared to an on-off control, which is the controller most used in these processes.