Biological Nitrogen Removal Database
A manually curated data resource for microbial nitrogen removal
Biological Nitrogen Removal Database
A manually curated data resource for microbial nitrogen removal
Influent:Synthetic wastewater simulating municipal wastewater
HN-AD system:Heterotrophic nitrification/aerobic denitrification
Reactor:Lab scale shaking flask batch
Medium:Suspended-sludge
Culture taken from:Activated sludge
Microorganism cultured:Alcaligenes faecalis strain NR
Respiration:Aerobic
Electron donor:nan
Electron acceptor:Ammonium
PH:6.5–8
Temperature:30 °C
HRT:33 h
NH4–N Influent conc(mg/L):80.0
NO2–N Influent conc(mg/L):nan
NO3–N Influent conc(mg/L):nan
NH4–N Effluent (mg N/L):nan
NO2–N Effluent (mg N/L):nan
NO3-N Effluent (mg N/L):nan
NH4–N removal rate mg/L/d:2.27
NO2–N removal rate mg/L/d:nan
NO3-N removal rate mg/L/d:nan
TN Removal rate (mg N/L/d):nan
Authors:Chen et al., 2016
Title:Kinetic characteristics and modelling of growth and substrate removal by Alcaligenes faecalis strain NR
Pubmed link:None
Full research link:Link
Abstract:Alcaligenes faecalis strain NR has the capability of simultaneous ammonium and organic carbon removal under sole aerobic conditions. The growth and substrate removal characteristics of A. faecalis strain NR were studied and appropriate kinetic models were developed. The maximum substrate removal rate of NH4 +-N and TOC were determined as 2.27 mg NH4 +-N/L/h and 30.00 mg TOC/L/h, respectively with initial NH4 +-N = 80 mg/L and TOC = 800 mg/L. Single-substrate models and double-substrate models based on Monod, Contois, Moser and Teissier were employed to describe the bioprocess kinetic coefficients. As a result, two double-substrate models, Teissier-Contois and Contois-Contois, were considered to be appropriate to model growth kinetics with both NH4 +-N and TOC as limiting substrates. The kinetic constants of maximum growth rate (? max) and half-saturation constant (K S and B S) were obtained by solving multiple equations with regression. This work can be used to further understand and predict the performance of heterotrophic nitrifiers, and thus provides specific guidance of these functional strains in practical wastewater treatment process.