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
Anammox system:nan
Anammox reactor:Sequencing Batch Airlift Reactor (SBAR)
Medium:Granular sludge
Culture taken from:Full-scale anammox reactor of a wastewater treatment plant
Microorganism cultured:Candidatus Brocadia fulgida
Respiration:Anaerobic
Electron donor:Ammonium sulfate ((NH4)2SO4)
Electron acceptor:Sodium Nitrite (NaNO2)
PH:6.8-7.5
Maximum sludge concentration:0.47
HRT:1.67 d
NH4–N Influent conc(mg/L):140
NO2–N Influent conc(mg/L):140
SO4–S Influent conc(mg/L):nan
NH4–N Removal efficiency (%):80-85
NO2–N Removal efficiency (%):80-85
SO4-S Removal efficiency (%):nan
NLR kg-N/m3/d:0.13
NRR kg-N/m3/d:0.4
Major findings:A method for growing anammox bacteria as free-cells in high purity was here shown univocally for the first time. Growing an almost pure and highly active suspended anammox culture enabled accurate estimation of a set of stoichiometric and kinetic parameters for anammox bacteria.
Authors:Lotti et al., 2014
Title:Physiological and kinetic characterization of a suspended cell anammox culture
Pubmed link:Link
Full research link:Link
Abstract:Anammox related technologies are currently widely applied for nitrogen removal from sewage sludge digester rejection water. Nevertheless, many aspects of the anammox process like the kinetic characteristics and the reaction stoichiometry are still subject of debate. Parameter values reported in literature are often hampered by mass transfer limitation or by the presence of a significant side population. In this study a membrane bioreactor (MBR) based method for growing a highly enriched anammox microbial community is described. The almost pure free-cells suspension of highly active anammox bacteria was used for detailed kinetic and stoichiometric analysis of the anammox process. The anammox culture enriched during this study had a biomass specific maximum growth rate of 0.21 d(-)(1) which is higher than ever reported before in literature. Using an experimental methodology based on imposing dynamic process conditions combined with process modeling and parameter estimation, the intrinsic nitrite half saturation constant was identified to be as low as 35 ?g-N L(-)(1). This was confirmed to be an accurate estimation in the pH range of 6.8-7.5.