Domingo-Félez Carlos, Pellicer-Nàcher Carles, Petersen Morten S, Jensen Marlene M, Plósz Benedek G, Smets Barth F
Department of Environmental Engineering, Technical University of Denmark, Miljøvej 113, Kongens Lyngby 2800, Denmark.
Biotechnol Bioeng. 2017 Jan;114(1):132-140. doi: 10.1002/bit.26062. Epub 2016 Aug 23.
Nitrous oxide (N O), a by-product of biological nitrogen removal during wastewater treatment, is produced by ammonia-oxidizing bacteria (AOB) and heterotrophic denitrifying bacteria (HB). Mathematical models are used to predict N O emissions, often including AOB as the main N O producer. Several model structures have been proposed without consensus calibration procedures. Here, we present a new experimental design that was used to calibrate AOB-driven N O dynamics of a mixed culture. Even though AOB activity was favoured with respect to HB, oxygen uptake rates indicated HB activity. Hence, rigorous experimental design for calibration of autotrophic N O production from mixed cultures is essential. The proposed N O production pathways were examined using five alternative process models confronted with experimental data inferred. Individually, the autotrophic and heterotrophic denitrification pathway could describe the observed data. In the best-fit model, which combined two denitrification pathways, the heterotrophic was stronger than the autotrophic contribution to N O production. Importantly, the individual contribution of autotrophic and heterotrophic to the total N O pool could not be unambiguously elucidated solely based on bulk N O measurements. Data on NO would increase the practical identifiability of N O production pathways. Biotechnol. Bioeng. 2017;114: 132-140. © 2016 Wiley Periodicals, Inc.
一氧化二氮(N₂O)是废水处理过程中生物脱氮的副产物,由氨氧化细菌(AOB)和异养反硝化细菌(HB)产生。数学模型用于预测N₂O排放,通常将AOB作为主要的N₂O产生者。已经提出了几种模型结构,但没有统一的校准程序。在此,我们提出了一种新的实验设计,用于校准混合培养物中AOB驱动的N₂O动态。尽管相对于HB,AOB的活性更占优势,但氧摄取率表明存在HB活性。因此,对混合培养物中自养N₂O产生进行校准的严格实验设计至关重要。使用五个替代过程模型并结合推断的实验数据,对所提出的N₂O产生途径进行了研究。单独来看,自养和异养反硝化途径都可以描述观测数据。在结合了两种反硝化途径的最佳拟合模型中,异养对N₂O产生的贡献比自养更强。重要的是,仅基于总N₂O测量值,无法明确阐明自养和异养对总N₂O库的单独贡献。关于NO的数据将提高N₂O产生途径的实际可识别性。《生物技术与生物工程》2017年;114:132 - 140。©2016威利期刊公司