Continuous analysis of N2O isotopic composition during biological nitrogen removal in wastewater treatment to disentangle production and reduction processes
Abstract. Nitrous oxide (N2O) is a potent greenhouse gas, and emissions from wastewater treatment plants (WWTPs) represent a significant and highly variable source. Understanding the dynamics in microbial pathways of N2O formation and reduction during biological nitrogen removal is essential for targeted mitigation strategies. Stable isotope analysis of N2O (δ15Nα, δ15Nβ, δ18O, and 15N site preference) provides a powerful tool to disentangle and quantify N2O production and reduction processes, yet conventional analytical approaches lack temporal resolution. Here, we present the first long-term application of an off-axis integrated cavity output spectrometer for real-time N2O isotopic analysis at a pilot-scale WWTP over one year of operation. We developed a dynamic dilution system and implemented correction protocols for drift, N2O mole fraction dependence, and gas matrix effects on isotopic results, achieving uncertainties of 0.85 ‰ (δ15Nα), 1.08 ‰ (δ15Nβ), 0.81 ‰ (δ15Nbulk), 0.48 ‰ (δ18O) and 1.09 ‰ (15N site preference). Representative datasets demonstrate the system’s capability to (i) identify dominant N2O production pathways under standard operation, (ii) quantify N2O reduction in relation to dissolved oxygen concentration, and (iii) trace nitrogen transformation during low-level 15N-labelling experiments. Our results indicate nitrifier or heterotrophic denitrification as the main source of N2O, and that N2O reduction efficiency is strongly controlled by oxygen availability. This study highlights the potential of laser spectroscopy for continuous isotopic monitoring in real-world engineered systems and provides practical guidelines for uncertainty reduction and data interpretation. More specifically, our work forms a foundation for further investigations of the operational factors controlling N2O formation and N2O reduction in biological WWTPs and other complex anthropogenically-perturbed settings.