Growth modelling of Nitrosomonas europaea ATCC® 19718 and Nitrobacter winogradskyi ATCC® 25391: A new online indicator of the partial nitrification. (November 2016)

• Record Type: Journal Article
• Authors: Cruvellier, Nelly; Poughon, Laurent; Creuly, Catherine; Dussap, C-Gilles; Lasseur, Christophe
• Is Part Of: Bioresource technology. Volume 220(2016)
• Page Start: 369
• Page End: 377
• Publication Date: 2016-11
• Subjects: Nitrosomonas europaea ATCC® 19718 -- Nitrobacter winogradskyi ATCC® 25931 -- Life support systems -- Modelling growth kinetics -- Fed-batch cultures; Biomass -- Periodicals; Biomass energy -- Periodicals; Bioremediation -- Periodicals; Agricultural wastes -- Periodicals; Factory and trade waste -- Periodicals; Organic wastes -- Periodicals; Bioénergie -- Périodiques; Déchets agricoles -- Périodiques; Déchets industriels -- Périodiques; Déchets organiques -- Périodiques; Déchets (Combustible) -- Périodiques; 662.88
• DOI: 10.1016/j.biortech.2016.08.090
• Languages: English
• ISSNs: 0960-8524

Abstract

Graphical abstract: Highlights: Pirt model with lethality used for a coculture of two nitrifying bacteria. Kinetic characterization of nitrifying bacteria in pure cultures. On-line base addition and dissolved oxygen as indicators of partial nitrification. Structured and complete predictive model of nitrification. Abstract: The aim of the present work was to study the growth of two nitrifying bacteria. For modelling the nitrifying subsystem of the MELiSSA loop, Nitrosomonas europaea ATCC® 19718 and Nitrobacter winogradskyi ATCC® 25931 were grown separately and in cocultures. The kinetic parameters of a stoichiometric mass balanced Pirt model were identified: μmax = 0.054 h −1, decay rate b = 0.003 h −1 and maintenance rate m = 0.135 gN-NH4 + ·gX −1 ·h −1 for Nitrosomonas europaea ; μmax = 0.024 h −1, b = 0.001 h −1 and m = 0.467 gN-NO2 − ·gX −1 ·h −1 for Nitrobacter winogradskyi . A predictive structured model of nitrification in co-culture was developed. The online evolution of the addition of KOH is correlated to the nitritation; the dissolved oxygen concentration is correlated to both nitritation and nitratation. The model suitably represents these two variables so that transient partial nitrification is assessed. This is a clue for avoiding partial nitrification by predictive functional control.