2018
DOI: 10.1016/j.biortech.2018.04.070
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Kinetic modeling and microbial community analysis for high-rate biohydrogen production using a dynamic membrane

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Cited by 22 publications
(5 citation statements)
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“…However, operation at this HRT is not achievable due to the limitation of the ASBR system. Lin et al [38] found that the ASBR reactor failed to produce gas at HRT of 4 hours due to the fact that at shorter HRT, the washout of biomass occurs. Lower hydrogen production at a shorter HRT (6 hours) could result from a shift in the metabolic pathway [39,40].…”
Section: Results and Discussion 61 Kinetic Model Evaluationmentioning
confidence: 99%
“…However, operation at this HRT is not achievable due to the limitation of the ASBR system. Lin et al [38] found that the ASBR reactor failed to produce gas at HRT of 4 hours due to the fact that at shorter HRT, the washout of biomass occurs. Lower hydrogen production at a shorter HRT (6 hours) could result from a shift in the metabolic pathway [39,40].…”
Section: Results and Discussion 61 Kinetic Model Evaluationmentioning
confidence: 99%
“…In some cases, zero-order and first-order kinetics are also seen [64,69,82]. The unstructured and non-segregated Monod substrate consumption model fits many microbial substrate consumption models [20,73,80,81,83]. The linear regression between the saturation constant and the maximum specific growth rate helps in determining hydrogen production with time [84].…”
Section: Mathematical Modeling Of Dark Photofermentationmentioning
confidence: 95%
“…It has a sigmoidal curve graph when represented. In certain cases, with a mixed population of microorganisms or in an unstructured system, the Monod growth model is also seen [81][82][83]. To calculate the cumulative hydrogen production on the reactors, the Gompertz model or the modified Gompertz model is used; meanwhile, the Leudeking-Piret model is preferred in the case of hydrogen production by increasing microbial growth.…”
Section: Mathematical Modeling Of Dark Photofermentationmentioning
confidence: 99%
“…Modeling biofilms from a high-rate reactor was completed by Park, Sim, et al (2018), with estimates of Monod constants and maximum specific growth rates.…”
Section: Modelingmentioning
confidence: 99%