Université Clermont Auvergne, Institut Pascal, UMR CNRS 6602, TSA 60026, CS 60026, F-63178 Aubière cedex, France.
Université Clermont Auvergne, Institut Pascal, UMR CNRS 6602, TSA 60026, CS 60026, F-63178 Aubière cedex, France.
Bioresour Technol. 2016 Nov;220:369-377. doi: 10.1016/j.biortech.2016.08.090. Epub 2016 Aug 26.
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=0.054h(-1), decay rate b=0.003h(-1) and maintenance rate m=0.135gN-NH4(+)·gX(-1)·h(-1) for Nitrosomonas europaea; μmax=0.024h(-1), b=0.001h(-1) and m=0.467gN-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.
本工作旨在研究两种硝化细菌的生长情况。为了对 MELiSSA 回路的硝化子系统进行建模，分别培养了亚硝化单胞菌（Nitrosomonas europaea ATCC® 19718）和硝化杆菌（Nitrobacter winogradskyi ATCC® 25931），并进行了共培养。确定了一个基于计量平衡 Pirt 模型的动力学参数：亚硝化单胞菌的 μmax=0.054h(-1)、衰减率 b=0.003h(-1)和维持率 m=0.135gN-NH4(+)·gX(-1)·h(-1)；硝化杆菌的 μmax=0.024h(-1)、b=0.001h(-1)和 m=0.467gN-NO2(-)·gX(-1)·h(-1)。建立了共培养硝化的预测结构模型。在线进化添加 KOH 与亚硝化有关；溶解氧浓度与亚硝化和硝化都有关。该模型适当地表示了这两个变量，从而评估了暂态部分硝化。这是通过预测功能控制避免部分硝化的线索。
