Recently, the integration of sulfur-driven denitrification and anammox process has been extensively studied as a promising alternative nitrogen removal technology. Most of these studies investigated the process feasibility and monitored the community dynamics. However, an in-depth understanding of this new sulfur–nitrogen cycle bioprocess based on mathematical modeling and elucidation of complex interactions among different microorganisms has not yet been achieved. To fill this gap, we developed a kinetic model (with 7 bioprocesses, 12 variables, and 19 parameters) to assess the sulfur(thiosulfate)-driven denitrification and anammox (TDDA) process in a single reactor. The parameters used in this process were separately estimated by fitting the data obtained from the experiments. Then, the model was further validated under different conditions, and the results demonstrated that the developed model could describe the dynamic behaviors of nitrogen and sulfur conversions in the TDDA system. The newly developed branched thiosulfate oxidation model was also verified by conducting a metagenomics analysis. Using the developed model, we i) examined the interactions between sulfur-oxidizing bacteria and anammox bacteria at steady-state conditions with varying substrates to demonstrate the reliability of TDDA, and ii) evaluated the feasibility and operation of the TDDA process in terms of practical implementation. Our results will benefit further exploration of the significance of this novel S-N cycle bioprocess and guide its future applications.

最近，作为一种有前途的替代性脱氮技术，对硫驱动的反硝化与厌氧氨氧化工艺的集成进行了广泛的研究。这些研究大多数调查了过程的可行性，并监测了社区的动态。然而，基于数学模型并阐明不同微生物之间复杂的相互作用，尚未对这种新的硫-氮循环生物过程有深入的了解。为了填补这一空白，我们开发了一种动力学模型（带7级的生物过程，12个变量，和19级的参数），以评估硫（吨hiosulfate） - d里文d enitrification和一个纳莫克斯（TDDA）工艺在单个反应器中进行。通过拟合从实验中获得的数据，分别估算了此过程中使用的参数。然后，在不同条件下对该模型进行了进一步验证，结果表明所开发的模型可以描述TDDA系统中氮和硫转化的动态行为。还通过进行宏基因组学分析验证了新开发的支链硫代硫酸盐氧化模型。使用开发的模型，我们：i）在稳态条件下用不同的底物检查了硫氧化细菌和厌氧氨氧化细菌之间的相互作用，以证明TDDA的可靠性，并且ii）从实际角度评估了TDDA工艺的可行性和操作性执行。