Modeling of Nitrification Under Substrate‐Inhibiting Conditions

Gee, Chai Sung; Suidan, Makram T.; Pfeffer, John T.

doi:10.1061/(asce)0733-9372(1990)116:1(18)

Cited by 63 publications

(37 citation statements)

References 10 publications

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“…As it can be seen, the estimated value for the biomass yield is in close agreement with the value reported by Metcalf and Eddy (1991) and a little higher than the one determined by other researchers (Copp and Murphy, 1995). On the other hand, the maximum specific growth rate estimated in this work is very close to that reported by Lawrence and McCarty (1970); Shientuch et al (1995), and 2-15 times lower compared to other reported values (Brion, 1997;Copp and Murphy, 1995;Gee et al, 1990;Helder and De Vries, 1983;Metcalf and Eddy, 1991;Poduska and Andrews, 1974). Such a variation can, at first, be attributed to the different conditions of the various experiments and also to the fact that the model described by Equations (12) and (13) takes into account the contribution of the biomass that has been attached to the reactor walls.…”

supporting

confidence: 91%

Effect of wall growth on the kinetic modeling of nitrite oxidation in a CSTR

Dokianakis

Kornaros

Lyberatos

2006

Biotechnol. Bioeng.

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A simple kinetic model was developed for describing nitrite oxidation by autotrophic aerobic nitrifiers in a continuous stirred tank reactor (CSTR), in which mixed (suspended and attached) growth conditions prevail. The CSTR system was operated under conditions of constant nitrite feed concentration and varying volumetric flow rates. Experimental data from steady-state conditions in the CSTR system and from batch experiments were used for the determination of the model's kinetic parameters. Model predictions were verified against experimental data obtained under transient operating conditions, when volumetric flow rate and nitrite feed concentration disturbances were imposed on the CSTR. The presented kinetic modeling procedure is quite simple and general and therefore can also be applied to other mixed growth biological systems.

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supporting

confidence: 91%

Effect of wall growth on the kinetic modeling of nitrite oxidation in a CSTR

Dokianakis

Kornaros

Lyberatos

2006

Biotechnol. Bioeng.

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“…The kinetics characteristics of ANAMMOX bacteria cultured in laboratory are shown in Figure 4, from which it can be seen that the Haldane model [12], which is consistent with the substrate inhibition kinetics model:…”

Section: Substrate Inhibition Kinetics Characteristics Of Anammox Bacsupporting

confidence: 67%

Influence of Temperature and Organics on ANAMMOX and Study on Kinetics Characteristics

Jia¹,

Qu²,

Zhang³

et al. 2016

EESRJ

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The influence of temperature and organics on anaerobic ammonium oxidation (ANAMMOX) bacteria activity was investigated in an up-flow ANAMMOX reactor. The kinetics characteristics of cultured ANAMMOX bacteria were analyzed. The results showed that temperature had a significant effect on ANAMMOX bacteria activity, and it was very important to maintain a high temperature to obtain the high activity of ANAMMOX bacteria. There was substrata competition between the denitrification bacteria and ANAMMOX bacteria when organics in the influent. The half saturation constants for ammonium and nitrite of the ANAMMOX bacteria were 151.97 mg•L -1 and 42.598 g•L -1 respectively. The half inhibition constant for ammonium and nitrite of the ANAMMOX bacteria were 555.3 g•L -1 and 200.6 g•L -1 respectively.

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“…There are several reports and treatises devoted to the estimation of nitrification biokinetics via direct substrate measurements (Gee et al, 1990;Jones et al, 2005;Knowles et al, 1965;Mauret et al, 1996;Melcer et al, 2003), measurement of surrogate analytes such as oxygen (Brouwer et al, 1998;Chandran andSmets, 2000a,b, 2005;Chudoba et al, 1985;Petersen, 2000;Surmacz-Gorska et al, 1996), alkalinity consumption (Gernaey et al, 1998a;Petersen, 2000) or a combination of both surrogates and nitrogen species (Ossenbruggen et al, 1991(Ossenbruggen et al, , 1996. However, there are no studies that report a direct and comprehensive comparison of kinetic parameters estimated from ) substrate depletion, ( ), complete and ( ), isolated respirometric profiles.…”

Section: Discussionmentioning

confidence: 99%

“…Several techniques have been proposed for estimating biokinetics of nitrification. These techniques involve either direct substrate measurements, ammonia or nitrite, (Gee et al, 1990;Jones et al, 2005;Knowles et al, 1965;Mauret et al, 1996;Melcer et al, 2003), the measurement of a surrogate analyte such as oxygen, (respirometry), (Brouwer et al, 1998), alkalinity consumption (titrimetry), (Gernaey et al, 1998b;Petersen, 2000) or a combination of both (Gernaey et al, 2001;Ossenbruggen et al, 1991Ossenbruggen et al, , 1996. Of these, respirometry and titrimetry are analytically facile because the continuous acquisition of nitrification-related oxygen or alkalinity consumption by a test biomass can be fully automated.…”

Section: Introductionmentioning

confidence: 99%

A critical comparison of extant batch respirometric and substrate depletion assays for estimation of nitrification biokinetics

Chandran

Smets

2008

Biotech & Bioengineering

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Estimation of nitrification biokinetics has been conducted using different batch techniques via measurement of nitrogen species or surrogates such as oxygen (respirometry). However, there are no reports that specifically compare kinetic parameters estimated from respirometry with those from direct nitrogen species measurements. In this study, we evaluated the ability of parameter estimates from isolated and optimally designed complete extant respirometric assays to describe concurrently obtained ammonia and nitrite depletion profiles. Additionally, we mapped the different parameter sets to steady-state bioreactor performance. Using multivariate analysis of variance, we found that estimates from respirometric and substrate depletion assays were predominantly statistically different at the 95% confidence level. The sensitivity of predicted stead-state nitrifying reactor performance to differences in parameter estimates was highest close to the limiting solids retention time (SRT). However, at characteristic nitrifying SRTs the predicted reactor performance using parameter estimates from respirometry and substrate depletion assays were in very close correspondence. Therefore, parameters estimated from extant respirometric assays can be used to adequately predict nitrifying reactor performance.

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Modeling of Nitrification Under Substrate‐Inhibiting Conditions

Cited by 63 publications

References 10 publications

Effect of wall growth on the kinetic modeling of nitrite oxidation in a CSTR

Effect of wall growth on the kinetic modeling of nitrite oxidation in a CSTR

Influence of Temperature and Organics on ANAMMOX and Study on Kinetics Characteristics

A critical comparison of extant batch respirometric and substrate depletion assays for estimation of nitrification biokinetics

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