Evaluating Colombian Clostridium spp. Strains hydrogen production using glycerol as substrate



Título del documento: Evaluating Colombian Clostridium spp. Strains hydrogen production using glycerol as substrate
Revue: Electronic journal of biotechnology
Base de datos: PERIÓDICA
Número de sistema: 000398150
ISSN: 0717-3458
Autores: 1
1
1
2
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Instituciones: 1Universidad Nacional de Colombia, Instituto de Biotecnología, Bogotá. Colombia
2Universidad Santo Tomás, Facultad de Ingeniería Mecánica, Bogotá. Colombia
Año:
Volumen: 16
Número: 2
Paginación: 1-13
País: Chile
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés The ability for hydrogen production of 13 native strains of Clostridium spp. strains isolated from Colombian soil was evaluated using glycerol substrate. Glycerol to hydrogen conversion was investigated using a batch fermentation reactor and industrial glycerol source (50 g.l - 1 , pH 7.00). Results: The results were quantified regarding acids, hydrogen, biomass and solvent production. The selected strain gave good hydrogen over production output at 14.4 mmol H 2 .l - 1 , productivity 0.3167 mg H 2 .h - 1 l - 1 cultur e mediumand yield 0.1962 mol H 2 .mol - 1 glycerol. A further fermentation assay a 4.0 liter batch reactor let to being 0.26 mg.l - 1 .h - 1 after 18 hrs of fermentation. Logistic model, Luedeking - Piret model and Luedeking - Piret modified models were used for modeling changes in cell growth, hydrogen production and substrate consumption (Correlation coefficients R 2 = 0.95 for biomass substrate, R 2 = 0.77 hydrogen production). Conclusions: Our results indicate that hydrogen production through glycerol bioconversion by native strains is possible
Disciplinas: Biología,
Ingeniería,
Matemáticas
Palabras clave: Bacterias,
Ingeniería de energéticos,
Matemáticas aplicadas,
Fermentación anaeróbica,
Biocombustibles,
Clostridium,
Glicerol,
Hidrógeno,
Modelos matemáticos
Keyword: Biology,
Engineering,
Mathematics,
Bacteria,
Energy engineering,
Applied mathematics,
Anaerobic fermentation,
Biofuels,
Clostridium,
Glycerol,
Hydrogen,
Mathematical models
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