|DE PRA, MARINA - Universidade Federal De Santa Catarina (UFSC)|
|KUNZ, AIRTON - Embrapa-Pigs And Poultry|
|BORTOLI, MARCELO - Federal University Of Parana Polytechnic Center|
|SCUSSIATO, LUCAS ANTUNES - University Of Paranaense|
|SOARES, HUGO MOREIRA - Universidade Federal De Santa Catarina (UFSC)|
|COLDEBELLA, ARLEI - Embrapa-Pigs And Poultry|
Submitted to: Meeting Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 11/6/2014
Publication Date: 5/5/2015
Publication URL: http://www.sbera.org.br/4sigera/files/1.10_MarinaCelantPra.pdf
Citation: De Pra, M.C., Kunz, A., Bortoli, M., Scussiato, L., Soares, H., Coldebella, A., Vanotti, M.B. 2015. Kinetic models for nitrogen inhibition in ANAMMOX process on deammonification system. In: Proceedings of IV SIGERA Conference (IV Symposium on Agricultural and Agroindustrial Waste Management), May 5-7, 2015, Rio de Janeiro, Brazil. Available: http://www.sbera.org.br/4sigera/files/1.10_MarinaCelantPra.pdf.
Technical Abstract: The performance of the deammonification process depends on the microbial activity of ammonia oxidizing bacteria (AOB) and ANAMMOX bacteria, and the autotrophic organisms involved in this process have different preferences for substrate, that may cause inhibition or imbalance of the system. The aim of this work was to adjust the best kinetic model for nitrogen inhibition by ammonium and nitrite in an ANAMMOX system (AMX) and in a deammonification system (DMX), both with the same operational conditions and suspended biomass. Four kinetic inhibition models were processed through non-linear regression to represent the inhibitions by substrate of the AMX and DMX processes: Edwards I, Monod, Teissier and Andrews models. The statistical criteria proved that the model proposed by Edwards I, was the best model to describe ammonium and nitrite inhibition of the AMX system, and show that the inhibitory effect of substrate concentrations were more evident and rapid for nitrite than ammonium in the ANAMMOX process. While in the DMX system, the Monod model was the best model to describe the performance of the deammonification process, show that increasing in the substrate concentration is not limiting for the ammonia consumption rate.