ArticleEnvironmental science and ecotechnology2026
Enzyme-constrained genome-scale modeling resolves growth-production trade-offs in fermentative biohydrogen production.
Article in Environmental science and ecotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Hydrogen is central to sustainable energy systems, with biological production from waste offering a low-energy, environmentally compatible route. Anaerobic dark fermentation by microbes converts organic substrates into hydrogen, yet yields remain limited by competing metabolic pathways and poor understanding of cellular resource allocation in hydrogen-producing strains. Conventional genome-scale models rely on stoichiometric constraints alone, often failing to capture realistic enzyme limitations or strain-specific biomass composition. Here we show that an enzyme-constrained genome-scale metabolic model (ecGEM) of the hydrogen-producing bacterium
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