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Metabolic Flux Analysis for the Hydrogen Production Via Anaerobic Digestion and Photofermentation

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Metabolic Flux Analysis for the Hydrogen Production Via Anaerobic Digestion and Photofermentation METABOLIC FLUX ANALYSIS FOR THE HYDROGEN PRODUCTION VIA ANAEROBIC DIGESTION AND PHOTOFERMENTATION Victor Jurado, Axayacatl Gonzalez, Ines Garcia; Unidad Profesional Interdisciplinaria de Biotecnologia Del IPN, Bioprocesses Department, Mexico D.F. 07340; [email protected] Key words: MFA, Photo-fermentation, Dark-Fermentation Introduction. An alternative for the treatment constructed. Matrix dimensions were [23 x of organic wastes is the anaerobic digestion. 18], and it was defined as full-ranked. The This process leads to the production of system contains 4 degrees of freedom which hydrogen (H2) and methane, which have means that to evaluate the flux distribution 4 been identified as potential biofuels. Due to values should be known. To evaluate the its high energetic content, several attempts accuracy of the model, experimental data for increasing H2 production yields in dark obtained previously for the research group fermentation have been done. In recent years was employed. Since the number of the use of photoautotrophic bacteria that are experimentally measured rates was higher able to produce H2 has been explored since than the number of degrees of freedom these microorganisms can use organic acids required, different combinations were tested for growing [1]. for calculating the other production rates The mechanisms and regulation systems for (Table 1). Table 1. Gross Error between Experimental and H2 production are not completely understood due to the complexity of the metabolic Calculated Rates. DF indicates that the compound was used a degree of freedom. networks in dark and photo-fermentation Metabolite Measured Tests (Error, %) systems. To date, there are some metabolic Rates T1 T2 T3 T4 T5 (mol/h) models which attempt describing the Glucose -1.34x10-3 DF DF DF DF DF -4 metabolic changes during H2 production [2,3]. Ethanol 1.92x10 DF 8 3 99 DF Butyric Acid 1.19x10-3 35 DF 40 DF DF However those models have been developed -3 H2 2.99x10 40 40 40 89 126 for specific microorganisms and are so Lactic Acid 8.59x10-5 DF DF DF 100 96 complex that their application becomes Acetic Acid 1.35x10-4 3 4 DF DF 104 Biomass 3.10x10-5 DF DF DF DF DF complicated. Therefore this work aims the development of condensed metabolic models Tests 1, 3, 4 and 5 cannot be accepted since for the description of the metabolic changes differ noticeably from the measured values. in anaerobic heterotrophic and For tests 2, the values obtained with the photoautotrophic mixed cultures during the H2 model presented the lowest errors. production. Additionally, the same value for H2 production Methods. The experimental strategy was rate was obtained in tests 1, 2 and 3 (1.7x10-3 performed in three stages. First, information mol/h). However, this value still presents a regarding all the biochemical reactions gross deviation to experimental one. To involved in H2 production was gathered from overcome these results, an analysis for the both dark and photo-fermentation. KEGG and over determined system in currently been BRENDA databases were the main sources done. of information. Clostriduim and Rhodobacter Conclusions. A simplified metabolic model global metabolic maps were considered as for H2 production during dark fermentation the reference points. Then, all the reactions was constructed. Although the model follows were condensed by applying all the mathematical constrains, results for Mavrouvouniotis’ algorithm and a the hydrogen production rate are still below stoichiometric matrix M was constructed. the experimental value. Additionally, the Dimensions of matrix M are [m x J], where m development of the metabolic model for the corresponds to the number of the metabolites phototrophic bacteria is currently being and J to the number of reactions. Finally, the developed. models were mathematically analyzed to Acknowledgements. SIP-20120208 evaluate their feasibility so that the flux References. 1. Kapdan IK, Kargı F. (2006). Enzym distribution for Clostridium and Rhodobacter Microb Technol.38:569-82. could be estimated. 2. Tao Y, Liu X, Zhou Z, Lee JK, Yang, C. (2011). Results. After analyzing the main metabolic Journal Bacteriol. 194(2):274:283 3. Chongcharoenthaweesuk P, Jiangdong Z, Mavituna F. pathways involved in H2 production during the (2011). MFBA for Biological Hydrogen Production by dark-fermentation process, these were Purple Non-Sulfur Bacteria. 2011 International Conference on Food Engineering and Biotechnology. simplified for obtaining a reduced metabolic th th model. The stoichiometric matrix M was then CBEES, IEEE. Bangkok, Thailand. 7 -9 May. 125-129 .
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