Mathematical modeling of dark fermentative hydrogen and soluble by-products generations from water hyacinth

[Display omitted] •Dark fermentative H2 and by-products production from water hyacinth were modeled.•The effects of substrate concentration, pH, and temperature were integrated.•The model was validated by both lab-experimental and literature data.•A high goodness of fit was achieved with high R2 val...

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Bibliographic Details
Published in:Bioresource technology 2023-09, Vol.384, p.129266-129266, Article 129266
Main Authors: Phan, Quang Huy Hoang, Phan, Thi Pham, Nguyen, Phan Khanh Thinh
Format: Article
Language:English
Subjects:
Dark fermentation
Eichhornia - metabolism
Eichhornia crassipes
Fermentation
hydrogen
Hydrogen - metabolism
Hydrogen production
hydrolysis
metabolites
Models, Theoretical
Modified Michaelis-Menten model
Multi-substrate-single-biomass model
prediction
Soluble metabolite products
Surface-limiting model
temperature
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Summary:[Display omitted] •Dark fermentative H2 and by-products production from water hyacinth were modeled.•The effects of substrate concentration, pH, and temperature were integrated.•The model was validated by both lab-experimental and literature data.•A high goodness of fit was achieved with high R2 values of 0.92 – 0.97. The production of hydrogen and soluble metabolite products from water hyacinth via dark fermentation was modeled. The model was built on the assumption that the substrate exists in two forms (i.e., soluble and particulate) and undergoes two stages (i.e., hydrolysis and acidogenesis) in the dark fermentation process. The modified Michaelis-Menten and surface-limiting models were applied to describe the hydrolysis of soluble and particulate forms, respectively. Meanwhile, the acidogenesis stage was modeled based on the multi-substrate-single-biomass model. The effects of temperature, pH, and substrate concentration were integrated into the model to increase flexibility. As a result, the model prediction agreed with the experimental and literature data of water hyacinth-fed dark fermentation, with high coefficient of determination values of 0.92 – 0.97 for hydrogen and total soluble metabolite products. These results indicate that the proposed model could be further applied to dark fermentation’s downstream and hybrid processes using water hyacinth and other substrates.
ISSN:0960-8524
1873-2976
DOI:10.1016/j.biortech.2023.129266